Kernel Decomposition and Activation Broadcasting in Deep Neural Networks (DNNs).

Kernel Decomposition and Activation Broadcasting in Deep Neural Networks (DNNs)

Номер патента: US20230008622A1
Опубликовано: 12-01-2023
Автор(ы): David Thomas Bernard, Deepak Abraham Mathaikutty, Martin Power, Niall Hanrahan, Richard Boyd
Принадлежит: Individual
Получить PDF файл: Открыть в новом окне

Рисунок 1. Взаимосвязь патентов (ближайшие 20).

Kernel decomposition and activation broadcasting in deep neural networks (dnns)

Номер патента: EP4345655A1. Автор: Richard Boyd,Martin Power,Deepak Abraham Mathaikutty,Niall Hanrahan,David Thomas Bernard. Владелец: Intel Corp. Дата публикации: 2024-04-03.

Deep neural network accelerator with independent datapaths for simultaneous processing of different classes of operations

Номер патента: US12073310B2. Автор: Steven Karl REINHARDT,Stephen Sangho YOUN,Lok Chand KOPPAKA. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2024-08-27.

Deep neural network accelerator with independent datapaths for simultaneous processing of different classes of operations

Номер патента: EP4127916A1. Автор: Steven Karl REINHARDT,Stephen Sangho YOUN,Lok Chand KOPPAKA. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2023-02-08.

Decoders For Analog Neural Memory In Deep Learning Artificial Neural Network

Номер патента: US20190286976A1. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Kha Nguyen,Hien Pham,Han Tran. Владелец: Silicon Storage Technology Inc. Дата публикации: 2019-09-19.

Decoders for analog neural memory in deep learning artificial neural network

Номер патента: US12099921B2. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Kha Nguyen,Hien Pham,Han Tran. Владелец: Silicon Storage Technology Inc. Дата публикации: 2024-09-24.

Decoders for analog neural memory in deep learning artificial neural network

Номер патента: EP3766178A1. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Kha Nguyen,Hien Pham,Han Tran. Владелец: Silicon Storage Technology Inc. Дата публикации: 2021-01-20.

Decoders for analog neural memory in deep learning artificial neural network

Номер патента: EP4303772A2. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Kha Nguyen,Hien Pham,Han Tran. Владелец: Silicon Storage Technology Inc. Дата публикации: 2024-01-10.

Decoders for analog neural memory in deep learning artificial neural network

Номер патента: EP4303772A3. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Kha Nguyen,Hien Pham,Han Tran. Владелец: Silicon Storage Technology Inc. Дата публикации: 2024-04-10.

Deep neural network accelerator for optimized data processing, and control method of the deep neural network accelerator

Номер патента: US20230315525A1. Автор: Chanho Park,William Jinho SONG,Bogil KIM,Semin Koong,Taesoo Lim. Владелец: Industry Academic Cooperation Foundation of Yonsei University. Дата публикации: 2023-10-05.

Deep neural network accelerator for optimized data processing, and control method of the deep neural network accelerator

Номер патента: US12124879B2. Автор: Chanho Park,William Jinho SONG,Bogil KIM,Semin Koong,Taesoo Lim. Владелец: Industry Academic Cooperation Foundation of Yonsei University. Дата публикации: 2024-10-22.

Low-power, high-performance artificial neural network training accelerator and acceleration method

Номер патента: US20220222533A1. Автор: Hoi Jun Yoo,Sang Yeob Kim. Владелец: Korea Advanced Institute of Science and Technology KAIST. Дата публикации: 2022-07-14.

Managing workloads of a deep neural network processor

Номер патента: US20200409757A1. Автор: Boris Bobrov,Kent D. Cedola,Chad Balling Mcbride,George Petre,Larry Marvin Wall,Amol A. AMBARDEKAR. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2020-12-31.

Application programming interface for neural network computation

Номер патента: GB2606604A. Автор: Xu Yang,Hagog Mostafa,Vincent Kevin,Zhang Lingfeng,Gopal Anerudhan,A Yokim Scott,Erickson Walters Seth. Владелец: Nvidia Corp. Дата публикации: 2022-11-16.

Balancing memory consumption of multiple graphics processing units in deep learning

Номер патента: US20180341856A1. Автор: Kiyokuni Kawachiya,Yasushi Negishi,Tung D. Le. Владелец: International Business Machines Corp. Дата публикации: 2018-11-29.

Deep neural networks compiler for a trace-based accelerator

Номер патента: US11861337B2. Автор: Eugenio Culurciello,Andre Xian Ming Chang,Marko Vitez,Aliasger Zaidy. Владелец: Micron Technology Inc. Дата публикации: 2024-01-02.

Compensation For Reference Transistors And Memory Cells In Analog Neuro Memory In Deep Learning Artificial Neural Network

Номер патента: US20200019848A1. Автор: Tran Hieu Van,Do Nhan,Tiwari Vipin. Владелец: . Дата публикации: 2020-01-16.

Decoders For Analog Neural Memory In Deep Learning Artificial Neural Network

Номер патента: US20190286976A1. Автор: Nguyen Kha,Tran Hieu Van,Ly Anh,Vu Thuan,Tran Han,Hong Stanley,Pham Hien. Владелец: . Дата публикации: 2019-09-19.

CONFIGURABLE INPUT BLOCKS AND OUTPUT BLOCKS AND PHYSICAL LAYOUT FOR ANALOG NEURAL MEMORY IN DEEP LEARNING ARTIFICIAL NEURAL NETWORK

Номер патента: US20200349421A1. Автор: Tran Hieu Van,Vu Thuan,Do Nhan,Trinh Stephen,Hong Stanley,Reiten Mark,Tiwari Vipin. Владелец: . Дата публикации: 2020-11-05.

Configurable input blocks and output blocks and physical layout for analog neural memory in deep learning artificial neural network

Номер патента: US20200349421A1. Автор: Hieu Van Tran,Thuan Vu,Stanley Hong,Nhan Do,Vipin Tiwari,Mark REITEN,Stephen Trinh. Владелец: Silicon Storage Technology Inc. Дата публикации: 2020-11-05.

Scheduling computations in deep neural network based on sparsity

Номер патента: WO2024186362A1. Автор: Arnab Raha,Deepak Abraham Mathaikutty,Raymond Jit-Hung Sung,Umer Iftikhar Cheema. Владелец: Intel Corporation. Дата публикации: 2024-09-12.

Scheduling computations in deep neural network based on sparsity

Номер патента: US20230229507A1. Автор: Arnab Raha,Deepak Abraham Mathaikutty,Raymond Jit-Hung Sung,Umer Iftikhar Cheema. Владелец: Intel Corp. Дата публикации: 2023-07-20.

Resource resettable deep neural network accelerator, system, and method

Номер патента: US20230121052A1. Автор: Jin Ah SHIN,Chae Deok Lim,Yang Jae JEONG,Young Bin Kim,Dong Wan Ryoo,Beob Kyun KIM,Duk Kyun Woo,Kyung Il Kim,Yoo Jin Lim,Su Jung Ha. Владелец: Electronics and Telecommunications Research Institute ETRI. Дата публикации: 2023-04-20.

Resource resettable deep neural network accelerator, system, and method

Номер патента: EP4167143A1. Автор: Jin Ah SHIN,Chae Deok Lim,Yang Jae JEONG,Young Bin Kim,Dong Wan Ryoo,Beob Kyun KIM,Duk Kyun Woo,Kyung Il Kim,Yoo Jin Lim,Su Jung Ha. Владелец: Electronics and Telecommunications Research Institute ETRI. Дата публикации: 2023-04-19.

Method for execution of computational graph in neural network model and apparatus thereof

Номер патента: US11941514B2. Автор: YONG Li,Jian Zhu,Guang Chen,Hongsheng Wang,Hujun Bao,Lingfang Zeng,Hongcai Cheng,Huanbo ZHENG. Владелец: Zhejiang Lab. Дата публикации: 2024-03-26.

Output array neuron conversion and calibration for analog neural memory in deep learning artificial neural network

Номер патента: EP3963587B1. Автор: Hieu Van Tran,Thuan Vu,Stanley Hong,Nhan Do,Vipin Tiwari,Mark REITEN,Stephen Trinh. Владелец: Silicon Storage Technology Inc. Дата публикации: 2024-09-11.

DECODING SYSTEM AND PHYSICAL LAYOUT FOR ANALOG NEURAL MEMORY IN DEEP LEARNING ARTIFICIAL NEURAL NETWORK

Номер патента: US20200342938A1. Автор: Nguyen Kha,Tran Hieu Van,Ly Anh,Vu Thuan,Tran Han,Trinh Stephen,Hong Stanley,Pham Hien. Владелец: . Дата публикации: 2020-10-29.

Configurable input blocks and output blocks and physical layout for analog neural memory in deep learning artificial neural network

Номер патента: WO2020222868A1. Автор: Hieu Van Tran,Thuan Vu,Stanley Hong,Nhan Do,Vipin Tiwari,Mark REITEN,Stephen Trinh. Владелец: Silicon Storage Technology, Inc.. Дата публикации: 2020-11-05.

Decoders for analog neural memory in deep learning artificial neural network

Номер патента: EP3766178A4. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Kha Nguyen,Hien Pham,Han Tran. Владелец: Silicon Storage Technology Inc. Дата публикации: 2021-12-15.

Decoders for analog neural memory in deep learning artificial neural network

Номер патента: EP3766178B1. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Kha Nguyen,Hien Pham,Han Tran. Владелец: Silicon Storage Technology Inc. Дата публикации: 2024-02-28.

Configurable input blocks and output blocks and physical layout for analog neural memory in deep learning artificial neural network

Номер патента: EP3963513B1. Автор: Hieu Van Tran,Thuan Vu,Stanley Hong,Nhan Do,Vipin Tiwari,Mark REITEN,Stephen Trinh. Владелец: Silicon Storage Technology Inc. Дата публикации: 2024-04-17.

Configurable input blocks and output blocks and physical layout for analog neural memory in deep learning artificial neural network

Номер патента: EP3963513A1. Автор: Hieu Van Tran,Thuan Vu,Stanley Hong,Nhan Do,Vipin Tiwari,Mark REITEN,Stephen Trinh. Владелец: Silicon Storage Technology Inc. Дата публикации: 2022-03-09.

Output array neuron conversion and calibration for analog neural memory in deep learning artificial neural network

Номер патента: EP3963587A1. Автор: Hieu Van Tran,Thuan Vu,Stanley Hong,Nhan Do,Vipin Tiwari,Mark REITEN,Stephen Trinh. Владелец: Silicon Storage Technology Inc. Дата публикации: 2022-03-09.

Output array neuron conversion and calibration for analog neural memory in deep learning artificial neural network

Номер патента: WO2020222869A1. Автор: Hieu Van Tran,Thuan Vu,Stanley Hong,Nhan Do,Vipin Tiwari,Mark REITEN,Stephen Trinh. Владелец: Silicon Storage Technology, Inc.. Дата публикации: 2020-11-05.

Reducing power consumption in a neural network environment using data management

Номер патента: EP3710996A1. Автор: Amol Ashok AMBARDEKAR,Kent D. Cedola,Chad Balling Mcbride,George Petre,Larry Marvin Wall. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2020-09-23.

Reducing power consumption in a neural network environment using data management

Номер патента: WO2019125708A1. Автор: Amol Ashok AMBARDEKAR,Kent D. Cedola,Chad Balling Mcbride,George Petre,Larry Marvin Wall. Владелец: Microsoft Technology Licensing, LLC. Дата публикации: 2019-06-27.

Reducing power consumption in a neural network environment using data management

Номер патента: US20210232205A1. Автор: Amol Ashok AMBARDEKAR,Kent D. Cedola,Chad Balling Mcbride,George Petre,Larry Marvin Wall. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2021-07-29.

Deep neural network compression apparatus and method

Номер патента: US20180165578A1. Автор: Hoon Chung,Yun Keun Lee,Jeon Gue Park,Sung Joo Lee. Владелец: Electronics and Telecommunications Research Institute ETRI. Дата публикации: 2018-06-14.

Low precision deep neural network enabled by compensation instructions

Номер патента: US12056594B2. Автор: Leland Chang,Jungwook CHOI,Vijayalakshmi Srinivasan,Swagath Venkataramani,Shubham Jain. Владелец: International Business Machines Corp. Дата публикации: 2024-08-06.

Deep neural network accelerator including lookup table based bit-serial processing elements

Номер патента: US12079592B2. Автор: Hoi-Jun Yoo,Jin Mook Lee. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2024-09-03.

Bit sparse neural network optimization

Номер патента: GB2622665A. Автор: Liu Zhi-Gang,Nicholas Whatmough Paul,Fremont Brown John III. Владелец: Advanced Risc Machines Ltd. Дата публикации: 2024-03-27.

Low precision deep neural network enabled by compensation instructions

Номер патента: WO2020003043A1. Автор: Leland Chang,Jungwook CHOI,Vijayalakshmi Srinivasan,Swagath Venkataramani,Shubham Jain. Владелец: Ibm (China) Investment Company Limited. Дата публикации: 2020-01-02.

Bit Sparse Neural Network Optimization

Номер патента: US20240013052A1. Автор: Paul Nicholas Whatmough,Zhi-Gang Liu,John Fremont Brown, III. Владелец: ARM LTD. Дата публикации: 2024-01-11.

Efficient data encoding for deep neural network training

Номер патента: US11715002B2. Автор: Animesh Jain,Amar Phanishayee,Gennady Pekhimenko. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2023-08-01.

Method and system for opportunistic load balancing in neural networks using metadata

Номер патента: WO2020005412A3. Автор: Yasuko ECKERT,Nicholas Malaya. Владелец: Advanced Micro Devices, Inc.. Дата публикации: 2020-10-22.

Method and system for opportunistic load balancing in neural networks using metadata

Номер патента: EP3815002A2. Автор: Yasuko ECKERT,Nicholas Malaya. Владелец: Advanced Micro Devices Inc. Дата публикации: 2021-05-05.

Method and system for opportunistic load balancing in neural networks using metadata

Номер патента: US20190391850A1. Автор: Yasuko ECKERT,Nicholas Malaya. Владелец: Advanced Micro Devices Inc. Дата публикации: 2019-12-26.

Method and system for opportunistic load balancing in neural networks using metadata

Номер патента: WO2020005412A2. Автор: Yasuko ECKERT,Nicholas Malaya. Владелец: Advanced Micro Devices, Inc.. Дата публикации: 2020-01-02.

Efficient data encoding for deep neural network training

Номер патента: WO2019217129A1. Автор: Animesh Jain,Amar Phanishayee,Gennady Pekhimenko. Владелец: Microsoft Technology Licensing, LLC. Дата публикации: 2019-11-14.

Neural network architecture using convolution engines

Номер патента: US12050986B2. Автор: Christopher Martin. Владелец: Imagination Technologies Ltd. Дата публикации: 2024-07-30.

Neural network architecture using single plane filters

Номер патента: US12141684B2. Автор: Christopher Martin. Владелец: Imagination Technologies Ltd. Дата публикации: 2024-11-12.

Deep neural network workload scheduling

Номер патента: WO2019168724A1. Автор: Ranveer Chandra,Rahul Anand Sharma. Владелец: Microsoft Technology Licensing, LLC. Дата публикации: 2019-09-06.

Neural network architecture using single plane filters

Номер патента: US11610099B2. Автор: Christopher Martin. Владелец: Imagination Technologies Ltd. Дата публикации: 2023-03-21.

Neural Network Architecture Using Single Plane Filters

Номер патента: US20230214631A1. Автор: Christopher Martin. Владелец: Imagination Technologies Ltd. Дата публикации: 2023-07-06.

Neural network architecture using control logic determining convolution operation sequence

Номер патента: US11907830B2. Автор: Christopher Martin. Владелец: Imagination Technologies Ltd. Дата публикации: 2024-02-20.

Neural network architecture using convolution engine filter weight buffers

Номер патента: US11803738B2. Автор: Christopher Martin. Владелец: Imagination Technologies Ltd. Дата публикации: 2023-10-31.

Predicting Time-To-Finish of a Workflow Using Deep Neural Network With Biangular Activation Functions

Номер патента: US20200026570A1. Автор: Vinicius Michel Gottin,Alex Laier Bordignon. Владелец: EMC IP Holding Co LLC. Дата публикации: 2020-01-23.

Method and system for generating a subnetwork distribution of a deep neural network

Номер патента: WO2024186258A1. Автор: Ola Tiverman,Andreas Ask,Daniel ÖDMAN,Hans SALOMONSSON. Владелец: Embedl Ab. Дата публикации: 2024-09-12.

Deep neural network-based object detection method, and cloud sever and edge device performing deep neural network-based object detection method

Номер патента: US20230368518A1. Автор: Jong Hwan KO,Joo Chan LEE. Владелец: Sungkyunkwan University Research and Business Foundation. Дата публикации: 2023-11-16.

Redundant Memory Access For Rows Or Columns Containing Faulty Memory Cells In Analog Neural Memory In Deep Learning Artificial Neural Network

Номер патента: US20200019849A1. Автор: Nguyen Kha,Tran Hieu Van,Ly Anh,Vu Thuan,Tran Han,Hong Stanley,Pham Hien. Владелец: . Дата публикации: 2020-01-16.

Selective data structure encoding for deep neural network training

Номер патента: US20220414457A1. Автор: Amar Phanishayee,Fanny Nina Paravecino,Atefeh MEHRABI. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2022-12-29.

Deep neural network management of overbooking in a multi-tenant computing environment

Номер патента: US20230325256A1. Автор: Hong Mei Zhang,Peng Hui Jiang,Meng WAN,Sheng Yan Sun. Владелец: International Business Machines Corp. Дата публикации: 2023-10-12.

Method of performing learning of deep neural network and apparatus thereof

Номер патента: US12001954B2. Автор: Sungho Kang,Cheon Lee,Yunjae LIM,Hyungdal KWON. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2024-06-04.

Method of performing learning of deep neural network and apparatus thereof

Номер патента: EP3735662A1. Автор: Sungho Kang,Cheon Lee,Yunjae LIM,Hyungdal KWON. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2020-11-11.

Exploiting activation sparsity in deep neural networks

Номер патента: US12131130B2. Автор: Christopher Lott,Aaron Douglass Lamb,Michael Goldfarb,Amin Ansari,Rexford Alan Hill. Владелец: Qualcomm Inc. Дата публикации: 2024-10-29.

Hardware for implementing a Deep Neural Network

Номер патента: GB2599313A. Автор: Brasnett Paul,Martin Chris,Imber James,Hough David,Gibson Clifford,Dikici Cagatay. Владелец: Imagination Technologies Ltd. Дата публикации: 2022-03-30.

Histogram-based per-layer data format selection for hardware implementation of deep neural network

Номер патента: US12056600B2. Автор: James Imber,Cagatay Dikici. Владелец: Imagination Technologies Ltd. Дата публикации: 2024-08-06.

Histogram-based per-layer data format selection for hardware implementation of deep neural network

Номер патента: US11593626B2. Автор: James Imber,Cagatay Dikici. Владелец: Imagination Technologies Ltd. Дата публикации: 2023-02-28.

Deep neural network accelerator using heterogeneous multiply-accumulate unit

Номер патента: US20210158133A1. Автор: Wonseok Choi,Jongsun Park,Dongyeob SHIN. Владелец: KOREA UNIVERSITY RESEARCH AND BUSINESS FOUNDATION. Дата публикации: 2021-05-27.

Deep neural network with low-precision dynamic fixed-point in reconfigurable hardware design

Номер патента: US20200097816A1. Автор: Jie Wu,Bike Xie,Chun-Chen Liu,Hsiang-Tsun Li,Junjie Su. Владелец: Kneron Taiwan Co Ltd. Дата публикации: 2020-03-26.

Compensation for reference transistors and memory cells in analog neuro memory in deep learning artificial neural network

Номер патента: US20220383087A1. Автор: Hieu Van Tran,Nhan Do,Vipin Tiwari. Владелец: Silicon Storage Technology Inc. Дата публикации: 2022-12-01.

Redundant memory access for rows or columns containing faulty memory cells in analog neural memory in deep learning artificial neural network

Номер патента: US11568229B2. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Kha Nguyen,Hien Pham,Han Tran. Владелец: Silicon Storage Technology Inc. Дата публикации: 2023-01-31.

Compensation For Reference Transistors And Memory Cells In Analog Neuro Memory In Deep Learning Artificial Neural Network

Номер патента: US20200019848A1. Автор: Hieu Van Tran,Nhan Do,Vipin Tiwari. Владелец: Silicon Storage Technology Inc. Дата публикации: 2020-01-16.

Compensation for reference transistors and memory cells in analog neuro memory in deep learning artificial neural network

Номер патента: US11797834B2. Автор: Hieu Van Tran,Nhan Do,Vipin Tiwari. Владелец: Silicon Storage Technology Inc. Дата публикации: 2023-10-24.

Compensation for reference transistors and memory cells in analog neuro memory in deep learning artificial neural network

Номер патента: US11847557B2. Автор: Hieu Van Tran,Nhan Do,Vipin Tiwari. Владелец: Silicon Storage Technology Inc. Дата публикации: 2023-12-19.

Compensation for reference transistors and memory cells in analog neuro memory in deep learning artificial neural network

Номер патента: EP3821375A1. Автор: Hieu Van Tran,Nhan Do,Vipin Tiwari. Владелец: Silicon Storage Technology Inc. Дата публикации: 2021-05-19.

Compensation for reference transistors and memory cells in analog neuro memory in deep learning artificial neural network

Номер патента: EP4148626A1. Автор: Hieu Van Tran,Nhan Do,Vipin Tiwari. Владелец: Silicon Storage Technology Inc. Дата публикации: 2023-03-15.

Compensation for reference transistors and memory cells in analog neuro memory in deep learning artificial neural network

Номер патента: WO2020013933A1. Автор: Hieu Van Tran,Nhan Do,Vipin Tiwari. Владелец: Silicon Storage Technology, Inc.. Дата публикации: 2020-01-16.

Algorithms and circuitry for verifying a value stored during a programming operation of a non-volatile memory cell in an analog neural memory in deep learning artificial neural network

Номер патента: EP4280113A2. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Stephen Trinh. Владелец: Silicon Storage Technology Inc. Дата публикации: 2023-11-22.

Programmable neuron for analog non-volatile memory in deep learning artificial neural network

Номер патента: WO2019135839A1. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Kha Nguyen,Hien Pham,Han Tran. Владелец: Silicon Storage Technolgy, Inc.. Дата публикации: 2019-07-11.

Programmable neuron for analog non-volatile memory in deep learning artificial neural network

Номер патента: WO2019135839A8. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Kha Nguyen,Hien Pham,Han Tran. Владелец: Silicon Storage Technology, Inc.. Дата публикации: 2020-07-09.

Programmable neuron for analog non-volatile memory in deep learning artificial neural network

Номер патента: EP3735656A1. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Kha Nguyen,Hien Pham,Han Tran. Владелец: Silicon Storage Technology Inc. Дата публикации: 2020-11-11.

Algorithms and circuitry for verifying a value stored during a programming operation of a non-volatile memory cell in an analog neural memory in deep learning artificial neural network

Номер патента: EP4280113A3. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Stephen Trinh. Владелец: Silicon Storage Technology Inc. Дата публикации: 2024-05-08.

Multi-precision digital compute-in-memory deep neural network engine for flexible and energy efficient inferencing

Номер патента: US12079733B2. Автор: Tung Thanh Hoang,Martin LUEKER-BODEN,Won Ho Choi. Владелец: SanDisk Technologies LLC. Дата публикации: 2024-09-03.

Detecting adversary attacks on a deep neural network (DNN)

Номер патента: US12045713B2. Автор: Jialong Zhang,Jiyong Jang,Marc Philippe Stoecklin,Ian Michael Molloy,Zhongshu Gu. Владелец: International Business Machines Corp. Дата публикации: 2024-07-23.

Methods and systems for budgeted and simplified training of deep neural networks

Номер патента: US20220222492A1. Автор: LIN Xu,Ping Hu,Shandong WANG,Anbang YAO,Libin Wang,Yiwen Guo,Yurong Chen,Yuqing Hou,Dongqi Cai,Wenhua Cheng. Владелец: Intel Corp. Дата публикации: 2022-07-14.

Method and device for deep neural network compression

Номер патента: EP3937089A2. Автор: Wei-Chen Lin,Juinn-Dar Huang,Ya-Chu Chang. Владелец: Acer Inc. Дата публикации: 2022-01-12.

Progressive neural networks

Номер патента: US20240119262A1. Автор: James Kirkpatrick,Hubert Josef Soyer,Koray Kavukcuoglu,Razvan PASCANU,Raia Thais HADSELL,Guillaume Desjardins,Neil Charles RABINOWITZ,Andrei-Alexandru Rusu. Владелец: DeepMind Technologies Ltd. Дата публикации: 2024-04-11.

Neural networks processing units performance optimization

Номер патента: WO2022125402A1. Автор: Asher Hazanchuk. Владелец: Neuronix AI Labs Inc.. Дата публикации: 2022-06-16.

Methods of training deep neural networks (dnn) using signal non-idealities and quantization associated with in-memory operations and related devices

Номер патента: US20230085867A1. Автор: Jae-sun Seo,Deliang Fan,Sai Kiran Cherupally,Adnan Siraj Rakin. Владелец: Arizona State University ASU. Дата публикации: 2023-03-23.

Neural network dense layer sparsification and matrix compression

Номер патента: US20210110269A1. Автор: Sameh Gobriel,Tsung-Yuan Tai,Jesmin Jahari Tithi. Владелец: Intel Corp. Дата публикации: 2021-04-15.

Method and apparatus for reducing the parameter density of a deep neural network (DNN)

Номер патента: US11887001B2. Автор: Yan Lin,LIN Xu,Anbang YAO,Yiwen Guo,Yurong Chen. Владелец: Intel Corp. Дата публикации: 2024-01-30.

End-to-end data format selection for hardware implementation of deep neural network

Номер патента: US20240346314A1. Автор: James Imber. Владелец: Imagination Technologies Ltd. Дата публикации: 2024-10-17.

Detecting adversary attacks on a deep neural network (DNN)

Номер патента: US20220156563A1. Автор: Jialong Zhang,Jiyong Jang,Marc Philippe Stoecklin,Ian Michael Molloy,Zhongshu Gu. Владелец: International Business Machines Corp. Дата публикации: 2022-05-19.

Hardware noise-aware training for improving accuracy of in-memory computing-based deep neural network hardware

Номер патента: US20220318628A1. Автор: Jian Meng,Shihui Yin,Deliang Fan,Sai Kiran Cherupally,Jae?sun Seo. Владелец: Arizona Board of Regents of ASU. Дата публикации: 2022-10-06.

Progressive neural networks

Номер патента: US11775804B2. Автор: James Kirkpatrick,Hubert Josef Soyer,Koray Kavukcuoglu,Razvan PASCANU,Raia Thais HADSELL,Guillaume Desjardins,Neil Charles RABINOWITZ,Andrei-Alexandru Rusu. Владелец: DeepMind Technologies Ltd. Дата публикации: 2023-10-03.

Semi-programmable and reconfigurable co-accelerator for a deep neural network with normalization or non-linearity

Номер патента: US12124391B2. Автор: Kalin Ovtcharov,Jeremy Halden Fowers,Steven Karl REINHARDT,Stephen Sangho YOUN,Lok Chand KOPPAKA. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2024-10-22.

Large model support in deep learning

Номер патента: US11915147B2. Автор: Minsik Cho,Vladimir Zolotov,David S. Kung,Ulrich Alfons FINKLER. Владелец: International Business Machines Corp. Дата публикации: 2024-02-27.

Methods and systems for selecting quantisation parameters for deep neural networks using back-propagation

Номер патента: EP3671570A1. Автор: Szabolcs Csefalvay. Владелец: Imagination Technologies Ltd. Дата публикации: 2020-06-24.

Methods and systems for budgeted and simplified training of deep neural networks

Номер патента: US11803739B2. Автор: LIN Xu,Ping Hu,Shandong WANG,Anbang YAO,Libin Wang,Yiwen Guo,Yurong Chen,Yuqing Hou,Dongqi Cai,Wenhua Cheng. Владелец: Intel Corp. Дата публикации: 2023-10-31.

Methods and systems for selecting quantisation parameters for deep neural networks using back-propagation

Номер патента: US11922321B2. Автор: Szabolcs Csefalvay. Владелец: Imagination Technologies Ltd. Дата публикации: 2024-03-05.

Reconfigurable device based deep neural network system and method

Номер патента: WO2020110113A1. Автор: Moshe Mishali. Владелец: Deep Ai Technologies Ltd.. Дата публикации: 2020-06-04.

Methods and systems for budgeted and simplified training of deep neural networks

Номер патента: US20240086693A1. Автор: LIN Xu,Ping Hu,Shandong WANG,Anbang YAO,Libin Wang,Yiwen Guo,Yurong Chen,Yuqing Hou,Dongqi Cai,Wenhua Cheng. Владелец: Intel Corp. Дата публикации: 2024-03-14.

Method and apparatus for managing neural network models

Номер патента: EP3959663A1. Автор: Arun Abraham,Vikram Nelvoy RAJENDIRAN,Akshay PARASHAR,Suhas P K. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2022-03-02.

Method and apparatus for managing neural network models

Номер патента: US20220076102A1. Автор: Arun Abraham,Akshay PARASHAR,Suhas P K,Vikram Nelvoy RAJ END IRAN. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2022-03-10.

Method and device for deep neural network compression

Номер патента: EP3937089A3. Автор: Wei-Chen Lin,Juinn-Dar Huang,Ya-Chu Chang. Владелец: Acer Inc. Дата публикации: 2022-04-13.

Method and device for deep neural network compression

Номер патента: US20210357758A1. Автор: Wei-Chen Lin,Juinn-Dar Huang,Ya-Chu Chang. Владелец: Acer Inc. Дата публикации: 2021-11-18.

Anti-piracy framework for deep neural networks

Номер патента: US11687623B2. Автор: Min Wu,Mingliang Chen. Владелец: UNIVERSITY OF MARYLAND AT COLLEGE PARK. Дата публикации: 2023-06-27.

Method of compile-time optimization for nested parallel for-loops for deep learning neural network computation

Номер патента: WO2024039923A1. Автор: Jianhui Li,Yijie MEI,Zhennan Qin. Владелец: Intel Corporation. Дата публикации: 2024-02-22.

Deep neural network on field-programmable gate array

Номер патента: WO2021044241A1. Автор: Raphael Polig,Mitra Purandare,Dionysios Diamantopoulos. Владелец: Ibm (China) Investment Company Ltd.. Дата публикации: 2021-03-11.

Semi-programmable and reconfigurable co-accelerator for a deep neural network with normalization or non-linearity

Номер патента: US20230342320A1. Автор: Kalin Ovtcharov,Jeremy Halden Fowers,Steven Karl REINHARDT,Stephen Sangho YOUN,Lok Chand KOPPAKA. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2023-10-26.

Semi-programmable and reconfigurable co-accelerator for a deep neural network with normalization or non-linearity

Номер патента: WO2022164652A1. Автор: Kalin Ovtcharov,Jeremy Halden Fowers,Steven Karl REINHARDT,Stephen Sangho YOUN,Lok Chand KOPPAKA. Владелец: Microsoft Technology Licensing, LLC. Дата публикации: 2022-08-04.

Semi-programmable and reconfigurable co-accelerator for a deep neural network with normalization or non-linearity

Номер патента: EP4285286A1. Автор: Kalin Ovtcharov,Jeremy Halden Fowers,Steven Karl REINHARDT,Stephen Sangho YOUN,Lok Chand KOPPAKA. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2023-12-06.

Method to Map Convolutional Layers of Deep Neural Network on a Plurality of Processing Elements with SIMD Execution Units, Private Memories, and Connected as a 2D Systolic Processor Array

Номер патента: US20200134105A1. Автор: Chia-Yu Chen,Jintao Zhang,Kailash Gopalakrishnan,Jungwook CHOI,Vijayalakshmi Srinivasan,Swagath Venkataramani. Владелец: International Business Machines Corp. Дата публикации: 2020-04-30.

Oblivious binary neural networks

Номер патента: WO2020150678A1. Автор: Farinaz Koushanfar,Mohammad Sadegh Riazi,Mohammad Samragh Razlighi. Владелец: The Regents of the University of California. Дата публикации: 2020-07-23.

Methods and systems for boosting deep neural networks for deep learning

Номер патента: US20200026999A1. Автор: LIN Xu,Ping Hu,Anbang YAO,Libin Wang,Yiwen Guo,Yurong Chen,Dongqi Cai,Wenhua Cheng,Shangong Wang. Владелец: Intel Corp. Дата публикации: 2020-01-23.

Response generation using memory augmented deep neural networks

Номер патента: US12045711B2. Автор: Erik T. Mueller,Omar Florez CHOQUE,Anish KHAZANE. Владелец: Capital One Services LLC. Дата публикации: 2024-07-23.

Systems and methods for providing flexible, multi-capacity models for use of deep neural networks in mobile devices

Номер патента: US12008462B2. Автор: Xiao Zeng,Mi ZHANG,Biyi FANG. Владелец: Michigan State University MSU. Дата публикации: 2024-06-11.

Compute optimization mechanism for deep neural networks

Номер патента: US12086705B2. Автор: Amit Bleiweiss,Travis T. Schluessler,Eriko Nurvitadhi,Gokce Keskin,Tomer Bar-On,Jaikrishnan Menon,Devan BURKE,Nishant Patel,Anil Thomas,Dhawal Srivastava,Abhishek Venkatesh,John Gierach,Oguz Elibol,Huma Abidi,Pruthvi Gowda Thorehosur Appajigowda. Владелец: Intel Corp. Дата публикации: 2024-09-10.

Hardware efficient weight structure for sparse deep neural networks

Номер патента: US20230244746A1. Автор: YU Chen,Hun-Seok KIM,Dennis Sylvester,David Blaauw,Pierre ABILLAMA. Владелец: University of Michigan. Дата публикации: 2023-08-03.

Deployment and Management of Energy Efficient Deep Neural Network Models on Edge Inference Computing Devices

Номер патента: US20230104246A1. Автор: Rajesh Kumar Jeyapaul,Sivapatham Muthaiah. Владелец: International Business Machines Corp. Дата публикации: 2023-04-06.

Methods and systems for boosting deep neural networks for deep learning

Номер патента: US11790223B2. Автор: LIN Xu,Ping Hu,Shandong WANG,Anbang YAO,Libin Wang,Yiwen Guo,Yurong Chen,Dongqi Cai,Wenhua Cheng. Владелец: Intel Corp. Дата публикации: 2023-10-17.

Method, System, and Computer Program Product for Data Pre-Processing in Deep Learning

Номер патента: US20200143236A1. Автор: Stephen D. Liang. Владелец: Individual. Дата публикации: 2020-05-07.

System and method for artificial neural network invariant to transferring

Номер патента: RU2656990C1. Автор: Владимир Петрович Парамонов,Алексей Станиславович ЧЕРНЯВСКИЙ,Виталий Сергеевич ЛАВРУХИН. Владелец: САМСУНГ ЭЛЕКТРОНИКС КО., ЛТД.. Дата публикации: 2018-06-07.

Deep neural network system for similarity-based graph representations

Номер патента: US11983269B2. Автор: Pushmeet Kohli,Oriol Vinyals,Thomas Dullien,Yujia LI,Chenjie Gu. Владелец: DeepMind Technologies Ltd. Дата публикации: 2024-05-14.

Semiconductor Device Modeling Using Input Pre-Processing and Transformed Targets for Training a Deep Neural Network

Номер патента: US20190385047A1. Автор: Yuan Lei,Xiao Huo. Владелец: Hong Kong Applied Science and Technology Research Institute ASTRI. Дата публикации: 2019-12-19.

Deep neural network compression based on filter importance

Номер патента: US20220253708A1. Автор: Dibyajyoti Pati,Junpyo Hong,Venkata Ratnam Saripalli,Attila Márk Rádics,Rajesh Kumar Tamada,Hans Krupakar,Guarav Kumar. Владелец: GE Precision Healthcare LLC. Дата публикации: 2022-08-11.

Normalization method and apparatus for deep neural network, and storage media

Номер патента: US20200257979A1. Автор: PING Luo,Lingyun Wu,Ruimao Zhang,Jiamin Ren,Zhanglin PENG,Xinjiang WANG. Владелец: Shenzhen Sensetime Technology Co Ltd. Дата публикации: 2020-08-13.

Methods and apparatus for discriminative semantic transfer and physics-inspired optimization of features in deep learning

Номер патента: US20240176998A1. Автор: Ming Lu,Hao Zhao,Anbang YAO,Yiwen Guo,Yurong Chen. Владелец: Intel Corp. Дата публикации: 2024-05-30.

Using conversational similarity for dimension reduction in deep analytics

Номер патента: WO2018237110A1. Автор: Alan McCord,Ashley Unitt. Владелец: Newvoicemedia Us Inc.. Дата публикации: 2018-12-27.

Methods and apparatus for discriminative semantic transfer and physics-inspired optimization of features in deep learning

Номер патента: EP4446941A2. Автор: Ming Lu,Hao Zhao,Anbang YAO,Yiwen Guo,Yurong Chen. Владелец: Intel Corp. Дата публикации: 2024-10-16.

Processing system, integrated circuit, and printed circuit board for optimizing parameters of deep neural network

Номер патента: US20240330681A1. Автор: Xin Yu,Nan Wang,Yanjun Zhao,Xiaobing Chen,Yongwei ZHAO,Yimin ZHUANG,Lingdong WU,Yehao YU. Владелец: Shanghai Cambricon Information Technology Co Ltd. Дата публикации: 2024-10-03.

Information processing apparatus for improving robustness of deep neural network by using adversarial training and formal method

Номер патента: US20230325651A1. Автор: Teruhiro Tagomori. Владелец: Nomura Research Institute Ltd. Дата публикации: 2023-10-12.

Information processing apparatus for improving robustness of deep neural network by using adversarial training and formal method

Номер патента: EP4258178A1. Автор: Teruhiro Tagomori. Владелец: Nomura Research Institute Ltd. Дата публикации: 2023-10-11.

System and method for automated precision configuration for deep neural networks

Номер патента: CA3114635A1. Автор: Ehsan SABOORI,Davis Mangan SAWYER,Mohammadhossein ASKARIHEMMAT,Olivier MASTROPIETRO. Владелец: Deeplite Inc. Дата публикации: 2020-05-28.

Systems and methods for providing flexible, multi-capacity models for use of deep neural networks in mobile devices

Номер патента: WO2020033898A1. Автор: Xiao Zeng,Mi ZHANG,Biyi FANG. Владелец: BOARD OF TRUSTEES OF MICHIGAN STATE UNIVERSITY. Дата публикации: 2020-02-13.

Graph optimization method and apparatus for neural network computation

Номер патента: US11915135B2. Автор: Guang Chen,Hongsheng Wang. Владелец: Zhejiang Lab. Дата публикации: 2024-02-27.

Compressing a deep neural network

Номер патента: US20210065010A1. Автор: Thomas Pfeil. Владелец: ROBERT BOSCH GMBH. Дата публикации: 2021-03-04.

Graph Optimization Method and Apparatus for Neural Network Computation

Номер патента: US20240028886A1. Автор: Guang Chen,Hongsheng Wang. Владелец: Zhejiang Lab. Дата публикации: 2024-01-25.

Systems and methods for encoding a deep neural network

Номер патента: EP3994623A1. Автор: Shahab Hamidi-Rad,Fabien Racape,Swayambhoo JAIN. Владелец: InterDigital CE Patent Holdings SAS. Дата публикации: 2022-05-11.

Systems and methods for encoding a deep neural network

Номер патента: WO2021001687A1. Автор: Shahab Hamidi-Rad,Fabien Racape,Swayambhoo JAIN. Владелец: Interdigital Ce Patent Holdings, Sas. Дата публикации: 2021-01-07.

Opponent modeling with asynchronous methods in deep rl

Номер патента: CA3060914A1. Автор: Matthew Edmund TAYLOR,Bilal KARTAL,Pablo Fransisco Hernandez Leal. Владелец: ROYAL BANK OF CANADA. Дата публикации: 2020-05-05.

Rotation variant object detection in deep learning

Номер патента: WO2019094445A1. Автор: Bingcai Zhang. Владелец: BAE Systems Information and Electronic Systems Integration Inc.. Дата публикации: 2019-05-16.

Hierarchical networks on chip (NoC) for neural network accelerator

Номер патента: US12072834B1. Автор: Xiaoqian Zhang,Zhibin Xiao. Владелец: Moffett International Co Ltd. Дата публикации: 2024-08-27.

Hierarchical networks on chip (noc) for neural network accelerator

Номер патента: WO2024207309A1. Автор: Xiaoqian Zhang,Zhibin Xiao,Guangtao SHEN. Владелец: Moffett International Co., Limited. Дата публикации: 2024-10-10.

Hierarchical networks on chip (noc) for neural network accelerator

Номер патента: US20240338339A1. Автор: Xiaoqian Zhang,Zhibin Xiao. Владелец: Moffett International Co Ltd Hong Kong. Дата публикации: 2024-10-10.

Compute-in-memory deep neural network inference engine using low-rank approximation technique

Номер патента: US11663471B2. Автор: Tung Thanh Hoang,Martin LUEKER-BODEN,Won Ho Choi. Владелец: SanDisk Technologies LLC. Дата публикации: 2023-05-30.

Methods and apparatus for discriminative semantic transfer and physics-inspired optimization of features in deep learning

Номер патента: EP3631697A1. Автор: Ming Lu,Hao Zhao,Anbang YAO,Yiwen Guo,Yurong Chen. Владелец: Intel Corp. Дата публикации: 2020-04-08.

Methods and apparatus for discriminative semantic transfer and physics-inspired optimization of features in deep learning

Номер патента: US20230359873A1. Автор: Ming Lu,Hao Zhao,Anbang YAO,Yiwen Guo,Yurong Chen. Владелец: Intel Corp. Дата публикации: 2023-11-09.

Opponent modeling with asynchronous methods in deep rl

Номер патента: US20200143208A1. Автор: Matthew Edmund TAYLOR,Bilal KARTAL,Pablo Francisco HERNANDEZ LEAL. Владелец: ROYAL BANK OF CANADA. Дата публикации: 2020-05-07.

Methods and systems for selecting quantisation parameters for deep neural networks using back-propagation

Номер патента: US20230214659A1. Автор: Szabolcs Csefalvay. Владелец: Imagination Technologies Ltd. Дата публикации: 2023-07-06.

Methods and systems for selecting quantisation parameters for deep neural networks using back-propagation

Номер патента: US20200202218A1. Автор: Szabolcs Csefalvay. Владелец: Imagination Technologies Ltd. Дата публикации: 2020-06-25.

Methods and systems for selecting quantisation parameters for deep neural networks using back-propagation

Номер патента: GB2580171A. Автор: CSÉFALVAY Szabolcs. Владелец: Imagination Technologies Ltd. Дата публикации: 2020-07-15.

Methods and systems for selecting quantisation parameters for deep neural networks using back-propagation

Номер патента: US20240202706A1. Автор: Szabolcs Csefalvay. Владелец: Imagination Technologies Ltd. Дата публикации: 2024-06-20.

Neural network accelerator in dimm form factor

Номер патента: EP3958138A1. Автор: Doe Hyun Yoon,Peter Ma,Lifeng Nai. Владелец: Google LLC. Дата публикации: 2022-02-23.

Method for deriving fault diagnosis rules of blast furnace based on deep neural network

Номер патента: US20210365784A1. Автор: Chunjie Yang,Xiaoke Huang. Владелец: Zhejiang University ZJU. Дата публикации: 2021-11-25.

Compute optimization mechanism for deep neural networks

Номер патента: US20240257294A1. Автор: FENG CHEN,Balaji Vembu,SUBRAMANIAM MAIYURAN,Tsung-Han Lin,Travis T. Schluessler,Joydeep Ray,Altug Koker,Abhishek R. Appu,Josh B. Mastronarde,Prasoonkumar Surti,Karthik Vaidyanathan,Ben J. Ashbaugh,Linda L. Hurd,Nadathur Rajagopalan Satish,Kamal SINHA,Nicolas C. Galoppo Von Borries,Eriko Nurvitadhi,Rajkishore Barik,John H. Feit,Sara S. Baghsorkhi,Justin E. Gottschlich,Dukhwan Kim,Adam T. Lake,Jeffery S. BOLES,Narayan Srinivasa,Wenyin Fu,Farshad Akhbari,Devan BURKE. Владелец: Intel Corp. Дата публикации: 2024-08-01.

Scaling half-precision floating point tensors for training deep neural networks

Номер патента: US12106210B2. Автор: Dipankar Das,Naveen Mellempudi. Владелец: Intel Corp. Дата публикации: 2024-10-01.

Fixed-point training method for deep neural networks based on static fixed-point conversion scheme

Номер патента: US11308392B2. Автор: Xin Li,Song Han,Tong MENG. Владелец: Xilinx Technology Beijing Ltd. Дата публикации: 2022-04-19.

Adaptive dispatch for acceleration of deep neural networks on graphic processing units

Номер патента: US20210201433A1. Автор: Avinash Seetharamaiah,Hitendra Mohan Gangani,Balaji CALIDAS,Jonnala gadda Nagendra Kumar,Joshua Walter Kelly. Владелец: Qualcomm Inc. Дата публикации: 2021-07-01.

Scaling half-precision floating point tensors for training deep neural networks

Номер патента: US20230409891A1. Автор: Dipankar Das,Naveen Mellempudi. Владелец: Intel Corp. Дата публикации: 2023-12-21.

Scaling half-precision floating point tensors for training deep neural networks

Номер патента: US20220269931A1. Автор: Dipankar Das,Naveen Mellempudi. Владелец: Intel Corp. Дата публикации: 2022-08-25.

Compute optimization mechanism for deep neural networks

Номер патента: US11922535B2. Автор: FENG CHEN,Balaji Vembu,SUBRAMANIAM MAIYURAN,Tsung-Han Lin,Travis T. Schluessler,Joydeep Ray,Altug Koker,Abhishek R. Appu,Josh B. Mastronarde,Prasoonkumar Surti,Karthik Vaidyanathan,Ben J. Ashbaugh,Linda L. Hurd,Nadathur Rajagopalan Satish,Kamal SINHA,Nicolas C. Galoppo Von Borries,Eriko Nurvitadhi,Rajkishore Barik,John H. Feit,Sara S. Baghsorkhi,Justin E. Gottschlich,Dukhwan Kim,Adam T. Lake,Jeffery S. BOLES,Narayan Srinivasa,Wenyin Fu,Farshad Akhbari,Devan BURKE. Владелец: Intel Corp. Дата публикации: 2024-03-05.

WORD LINE AND CONTROL GATE LINE TANDEM DECODER FOR ANALOG NEURAL MEMORY IN DEEP LEARNING ARTIFICIAL NEURAL NETWORK

Номер патента: US20220172781A1. Автор: Tran Hieu Van,Ly Anh,Vu Thuan,Trinh Stephen,Hong Stanley. Владелец: . Дата публикации: 2022-06-02.

OUTPUT ARRAY NEURON CONVERSION AND CALIBRATION FOR ANALOG NEURAL MEMORY IN DEEP LEARNING ARTIFICIAL NEURAL NETWORK

Номер патента: US20200349422A1. Автор: Tran Hieu Van,Vu Thuan,Do Nhan,Trinh Stephen,Hong Stanley,Reiten Mark,Tiwari Vipin. Владелец: . Дата публикации: 2020-11-05.

Word line and control gate line tandem decoder for analog neural memory in deep learning artificial neural network

Номер патента: US20210383869A1. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Stephen Trinh. Владелец: Silicon Storage Technology Inc. Дата публикации: 2021-12-09.

Outlier detection in deep neural network

Номер патента: GB2617915A. Автор: Zlotnick Aviad. Владелец: International Business Machines Corp. Дата публикации: 2023-10-25.

Apparatus and method for linearly approximating deep neural network model

Номер патента: US20190272309A1. Автор: Hoon Chung,Yun Keun Lee,Jeon Gue Park,Sung Joo Lee. Владелец: Electronics and Telecommunications Research Institute ETRI. Дата публикации: 2019-09-05.

Apparatus and method for linearly approximating deep neural network model

Номер патента: US10789332B2. Автор: Hoon Chung,Yun Keun Lee,Jeon Gue Park,Sung Joo Lee. Владелец: Electronics and Telecommunications Research Institute ETRI. Дата публикации: 2020-09-29.

Image compression with bounded deep neural network perception loss

Номер патента: US20210035330A1. Автор: Kyu-Han Kim,Xiufeng Xie. Владелец: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP. Дата публикации: 2021-02-04.

Reliability calculation method of the thermal error model of a machine tool based on deep neural network and the monte carlo method

Номер патента: US20210064988A1. Автор: Xu Li,Dawei Li,Yongqing Wang,Haining Liu,Bo Qin,Kuo LIU,Yongquan GAN. Владелец: Dalian University of Technology. Дата публикации: 2021-03-04.

Hierarchical deep neural network forecasting of cashflows with linear algebraic constraints

Номер патента: US11810187B2. Автор: Colin R. Dillard,Sricharan Kallur Palli Kumar,Sambarta Dasgupta,Shashank Shashikant Rao. Владелец: Intuit Inc. Дата публикации: 2023-11-07.

Methods and apparatus for approximating numerical computations in deep neural networks

Номер патента: WO2024205650A1. Автор: Zhe Wang,Martin Langhammer,Bogdan Pasca,Haihao SHEN,Hengyu MENG. Владелец: Intel Corporation. Дата публикации: 2024-10-03.

System and method for self constructing deep neural network design through adversarial learning

Номер патента: US12093827B2. Автор: Eren Kursun. Владелец: Bank of America Corp. Дата публикации: 2024-09-17.

Neural Networks with Local Converging Inputs (NNLCI) for Solving Differential Equations

Номер патента: US20230385634A1. Автор: Yingjie Liu,Haoxiang Huang,Vigor Yang. Владелец: Georgia Tech Research Corp. Дата публикации: 2023-11-30.

Enhancing audio signals using sub-band deep neural networks

Номер патента: EP3738118A1. Автор: Tao Yu,Gang Liu,Ming Tu. Владелец: Alibaba Group Holding Ltd. Дата публикации: 2020-11-18.

Apparatus and method for sound anomaly detection based on non-compression convolutional neural network

Номер патента: US20230349752A1. Автор: Jong Hee Jung,Yeonghyeon PARK. Владелец: SK Planet Co Ltd. Дата публикации: 2023-11-02.

Lightweight Decompositional Convolution Neural Network

Номер патента: US20220156554A1. Автор: Bin Sun,Yun Fu. Владелец: Northeastern University Boston. Дата публикации: 2022-05-19.

Building light-weight single shot refinement neural network for vehicle passenger detection system

Номер патента: US20210342580A1. Автор: Hardi Desai,Manasa Kolla,Aishwarya Gupta. Владелец: Conduent Business Services LLC. Дата публикации: 2021-11-04.

Apparatus and method with encrypted data neural network operation

Номер патента: US20240211737A1. Автор: Young Sik Kim,Jung Hyun Lee,Yongjune Kim,Jong Seon No,Joon Woo Lee,Eun Sang Lee. Владелец: Industry Academic Cooperation Foundation of Chosun National University. Дата публикации: 2024-06-27.

Methods and systems for efficient batch active learning of a deep neural network

Номер патента: US11829442B2. Автор: Amirata GHORBANI,Carlos Andres Esteva. Владелец: Salesforce com Inc. Дата публикации: 2023-11-28.

Word line and control gate line tandem decoder for analog neural memory in deep learning artificial neural network

Номер патента: US11935594B2. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Stephen Trinh. Владелец: Silicon Storage Technology Inc. Дата публикации: 2024-03-19.

Word line and control gate line tandem decoder for analog neural memory in deep learning artificial neural network

Номер патента: EP4162491A1. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Stephen Trinh. Владелец: Silicon Storage Technology Inc. Дата публикации: 2023-04-12.

Word line and control gate line tandem decoder for analog neural memory in deep learning artificial neural network

Номер патента: EP4162491B1. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Stephen Trinh. Владелец: Silicon Storage Technology Inc. Дата публикации: 2024-04-17.

Method and apparatus for high voltage generation for analog neural memory in deep learning artificial neural network

Номер патента: EP4343625A1. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Nhan Do,Vipin Tiwari. Владелец: Silicon Storage Technology Inc. Дата публикации: 2024-03-27.

Normalization method for training deep neural networks

Номер патента: US20200097829A1. Автор: Weiran DENG. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2020-03-26.

Neural network computation for eigen value and eigen vector decomposition of matrices

Номер патента: US20220188594A1. Автор: Parisa BABAHEIDARIAN. Владелец: Qualcomm Inc. Дата публикации: 2022-06-16.

System, method, and computer program product for implementing a hybrid deep neural network model to determine a market strategy

Номер патента: US12086749B2. Автор: Spiridon Zarkov,Anubhav Narang. Владелец: VISA INTERNATIONAL SERVICE ASSOCIATION. Дата публикации: 2024-09-10.

System, Method, and Computer Program Product for Implementing a Hybrid Deep Neural Network Model to Determine a Market Strategy

Номер патента: US20230368111A1. Автор: Spiridon Zarkov,Anubhav Narang. Владелец: VISA INTERNATIONAL SERVICE ASSOCIATION. Дата публикации: 2023-11-16.

Multi-dimensional deep neural network

Номер патента: EP3987450A1. Автор: PENG Gao,Takaaki Hori,Jonathan Le Roux,Chiori Hori,Shijie Geng. Владелец: Mitsubishi Electric Corp. Дата публикации: 2022-04-27.

Multi-dimensional deep neural network

Номер патента: WO2022054324A1. Автор: PENG Gao,Takaaki Hori,Jonathan Le Roux,Chiori Hori,Shijie Geng. Владелец: Mitsubishi Electric Corporation. Дата публикации: 2022-03-17.

Apparatus and method for accelerating deep neural network learning for deep reinforcement learning

Номер патента: US20230072432A1. Автор: Juhyoung Lee,Hoi Jun Yoo. Владелец: Korea Advanced Institute of Science and Technology KAIST. Дата публикации: 2023-03-09.

Processing chip for processing audio signals using at least one deep neural network in a hearing device and hearing device

Номер патента: EP4435668A1. Автор: Fethi Cherigui,Samuel Bucher,Hans.Ueli Roeck. Владелец: Sonova AG. Дата публикации: 2024-09-25.

Techniques for training deep neural networks

Номер патента: US20190005386A1. Автор: Li Chen,Ravi L. Sahita. Владелец: Intel Corp. Дата публикации: 2019-01-03.

Detecting and mitigating fault in sparsity computation in deep neural network

Номер патента: WO2024220114A1. Автор: Arnab Raha,Deepak Abraham Mathaikutty,Shamik Kundu. Владелец: Intel Corporation. Дата публикации: 2024-10-24.

System and method for mitigating generalization loss in deep neural network for time series classification

Номер патента: US20220027711A1. Автор: Arpan Pal,Soma Bandyopadhyay,Arijit UKIL. Владелец: Tata Consultancy Services Ltd. Дата публикации: 2022-01-27.

System and method for mitigating generalization loss in deep neural network for time series classification

Номер патента: EP3979144A1. Автор: Arpan Pal,Soma Bandyopadhyay,Arijit UKIL. Владелец: Tata Consultancy Services Ltd. Дата публикации: 2022-04-06.

Methods and systems for selecting number formats for deep neural networks based on network sensitivity and quantisation error

Номер патента: EP3985571A1. Автор: James Imber. Владелец: Imagination Technologies Ltd. Дата публикации: 2022-04-20.

Pruning activations and weights of neural networks with programmable thresholds

Номер патента: US20230394312A1. Автор: Arnab Raha,Deepak Abraham Mathaikutty,Soumendu Kumar Ghosh,Shamik Kundu. Владелец: Intel Corp. Дата публикации: 2023-12-07.

Mixed-precision deep neural network ensemble

Номер патента: GB2602471A. Автор: Prasun Maji Partha. Владелец: Advanced Risc Machines Ltd. Дата публикации: 2022-07-06.

Highly performant pipeline parallel deep neural network training

Номер патента: US12056604B2. Автор: Vivek Seshadri,Amar Phanishayee,Nikhil Devanur Rangarajan,Deepak Narayanan,Aaron HARLAP. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2024-08-06.

Multiplier-less sparse deep neural network

Номер патента: EP4288911A1. Автор: Toshiaki Akino. Владелец: Mitsubishi Electric Corp. Дата публикации: 2023-12-13.

Multiplier-less sparse deep neural network

Номер патента: WO2023038070A1. Автор: Toshiaki Akino. Владелец: Mitsubishi Electric Corporation. Дата публикации: 2023-03-16.

Attention loss based deep neural network training

Номер патента: WO2019240900A1. Автор: Ziyan Wu,Jan Ernst,Kuan-Chuan Peng,Rajib MONDAL,Rajat Vikram SINGH. Владелец: Siemens Corporation. Дата публикации: 2019-12-19.

Flexible, lightweight quantized deep neural networks

Номер патента: US20200380371A1. Автор: Ronald D. BLANTON,Ruizhou Ding,Zeye Liu,Ting-Wu Chin,Diana Marculescu. Владелец: CARNEGIE MELLON UNIVERSITY. Дата публикации: 2020-12-03.

Systems and methods for detecting deep neural network inference quality using image/data manipulation without ground truth information

Номер патента: US12033391B2. Автор: Zafar Iqbal,Vijay Nagasamy,Gurjeet Singh,Apurbaa MALLIK,Hitha Revalla,Steven Chao. Владелец: FORD GLOBAL TECHNOLOGIES LLC. Дата публикации: 2024-07-09.

Deep neural network processing for sensor blindness detection in autonomous machine applications

Номер патента: US20200090322A1. Автор: David Nister,Minwoo Park,Hae-Jong Seo,Neda CVIJETIC,Abhishek Bajpayee. Владелец: Nvidia Corp. Дата публикации: 2020-03-19.

Methods and systems for advanced and augmented training of deep neural networks using synthetic data and innovative generative networks

Номер патента: EP3607492A1. Автор: Liu Yang,ZHOU Su,LIN Xu,Ping Hu,Shandong WANG,Anbang YAO,Libin Wang,Yiwen Guo,Yurong Chen,Yuqing Hou,Dongqi Cai,Wenhua Cheng. Владелец: Intel Corp. Дата публикации: 2020-02-12.

Mixed-Precision Deep Neural Network Ensemble

Номер патента: US20230394281A1. Автор: Partha Prasun MAJI. Владелец: ARM LTD. Дата публикации: 2023-12-07.

Conversion of numerical to binary input data for binary neural networks

Номер патента: EP4388460A1. Автор: Van Minh Nguyen,Jean-Claude Belfiore,Valentin ABADIE. Владелец: Huawei Technologies Co Ltd. Дата публикации: 2024-06-26.

Conversion of numerical to binary input data for binary neural networks

Номер патента: WO2023025375A1. Автор: Van Minh Nguyen,Jean-Claude Belfiore,Valentin ABADIE. Владелец: Huawei Technologies Co., Ltd.. Дата публикации: 2023-03-02.

Methods and systems for advanced and augmented training of deep neural networks using synthetic data and innovative generative networks

Номер патента: US20210201078A1. Автор: Liu Yang,ZHOU Su,LIN Xu,Ping Hu,Shandong WANG,Anbang YAO,Libin Wang,Yiwen Guo,Yurong Chen,Dongqi Cai,Wenhua Cheng,Yuging Hou. Владелец: Intel Corp. Дата публикации: 2021-07-01.

Detecting and mitigating fault in sparsity computation in deep neural network

Номер патента: US20230252299A1. Автор: Arnab Raha,Deepak Abraham Mathaikutty,Shamik Kundu. Владелец: Individual. Дата публикации: 2023-08-10.

Methods and systems for selecting number formats for deep neural networks based on network sensitivity and quantisation error

Номер патента: GB2596150A. Автор: Imber James. Владелец: Imagination Technologies Ltd. Дата публикации: 2021-12-22.

Method and apparatus for performing a neural network operation

Номер патента: WO2022132287A1. Автор: Rino Micheloni,Lorenzo Zuolo. Владелец: Microchip Technology Inc.. Дата публикации: 2022-06-23.

Highly performant pipeline parallel deep neural network training

Номер патента: EP3797385A1. Автор: Vivek Seshadri,Amar Phanishayee,Nikhil Devanur Rangarajan,Deepak Narayanan,Aaron HARLAP. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2021-03-31.

Mixed-precision deep neural network ensemble

Номер патента: WO2022144536A1. Автор: Partha Prasun MAJI. Владелец: ARM LIMITED. Дата публикации: 2022-07-07.

Cursor-based adaptive quantization for deep neural networks

Номер патента: US12039427B2. Автор: Zhiyu Cheng,Baopu Li,Yingze Bao,Yanwen FAN. Владелец: Baidu com Times Technology Beijing Co Ltd. Дата публикации: 2024-07-16.

Dynamic sparsity-based acceleration of neural networks

Номер патента: US20240119269A1. Автор: Arnab Raha,Deepak Abraham Mathaikutty,Dinakar Kondru,Umer Iftikhar Cheema. Владелец: Individual. Дата публикации: 2024-04-11.

Adversarial training of neural networks using information about activation path differentials

Номер патента: EP3712822A1. Автор: Li Chen,Papadimitriou Antonios,Micah J. Sheller,Cory CORNELIUS,Michael Kounavis,Brandon Edwards,Anindya Paul. Владелец: Intel Corp. Дата публикации: 2020-09-23.

Methods of operating a graphics processing unit (gpu) to train a deep neural network using a gpu local memory and related articles of manufacture

Номер патента: US20200302304A1. Автор: Xiaoming Chen,Xiaobo Sharon Hu,Danny Ziyi Chen. Владелец: University of Notre Dame . Дата публикации: 2020-09-24.

Method and system for on-device inference in a deep neural network (dnn)

Номер патента: US20230004778A1. Автор: Amit Shukla,Raj Narayana Gadde,Sarvesh,Kinsuk DAS,Sai Karthikey PENTAPATI,Sandeep Mishra,Sandeep PALAKKAL. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2023-01-05.

Self-tuning model compression methodology for reconfiguring deep neural network and electronic device

Номер патента: US20240078432A1. Автор: Jie Wu,Bike Xie,Chun-Chen Liu,Junjie Su. Владелец: Kneron Inc. Дата публикации: 2024-03-07.

Hardware implementation of a neural network

Номер патента: GB2589383A. Автор: Huang Xiran,Dikici Cagatay. Владелец: Imagination Technologies Ltd. Дата публикации: 2021-06-02.

Hardware implementation of a neural network

Номер патента: GB2614621A. Автор: Huang Xiran,Dikici Cagatay. Владелец: Imagination Technologies Ltd. Дата публикации: 2023-07-12.

End-to-end data format selection for hardware implementation of deep neural network

Номер патента: GB2603582A. Автор: Imber James. Владелец: Imagination Technologies Ltd. Дата публикации: 2022-08-10.

Method and apparatus for parallelizing layers of deep neural networks onto parallel computing systems

Номер патента: EP3367310A1. Автор: Sergio Aldea Lopez,Balakrishnan Bhaskaran,Ahmed AL-JARRO. Владелец: Fujitsu Ltd. Дата публикации: 2018-08-29.

Efficient Federated Learning of Deep Neural Networks (DNNs) Using Approximation Layers

Номер патента: US20230105176A1. Автор: Yaniv BEN-ITZHAK,Mahmood Sharif,Shay Vargaftik,Nina Narodytska. Владелец: VMware LLC. Дата публикации: 2023-04-06.

System and method for deep neural network compression

Номер патента: WO2020229613A1. Автор: Melanie SENN. Владелец: Dr. Ing. H.C.F. Porsche Ag. Дата публикации: 2020-11-19.

Methods and systems using improved convolutional neural networks for image processing

Номер патента: EP3607488A1. Автор: LIN Xu,Ping Hu,Shandong WANG,Anbang YAO,Libin Wang,Yiwen Guo,Yurong Chen,Dongqi Cai,Wenhua Cheng. Владелец: Intel Corp. Дата публикации: 2020-02-12.

Method and apparatus for optimizing inference of deep neural networks

Номер патента: US20240289612A1. Автор: Feng Tian,Haihao SHEN,Hengyu MENG. Владелец: Intel Corp. Дата публикации: 2024-08-29.

Method for performing effective secure multi-party computation by participating parties based on polynomial representation of a neural network for communication-less secure multiple party computation

Номер патента: EP4302452A1. Автор: Shlomi Dolev,Philip Derbeko,Stav DOOLMAN. Владелец: BG Negev Technologies and Applications Ltd. Дата публикации: 2024-01-10.

Embedding Concealed Meta-Data Into Deep Neural Networks (DNNs)

Номер патента: US20240330417A1. Автор: Petar Djukic,Firouzeh GOLAGHAZADEH. Владелец: Ciena Corp. Дата публикации: 2024-10-03.

Embedding concealed meta-data into deep neural networks (DNNs)

Номер патента: US12056220B2. Автор: Petar Djukic,Firouzeh GOLAGHAZADEH. Владелец: Ciena Corp. Дата публикации: 2024-08-06.

Deep neural network processing for sensor blindness detection in autonomous machine applications

Номер патента: US20230012645A1. Автор: David Nister,Minwoo Park,Hae-Jong Seo,Neda CVIJETIC,Abhishek Bajpayee. Владелец: Nvidia Corp. Дата публикации: 2023-01-19.

Method for Training a Deep Neural Network for Recognition of Emergency Non-Blood Treatment Alternatives to Blood Transfusion in the Jehovah's Witness Patient

Номер патента: US20210056419A1. Автор: Firpo Carr. Владелец: Individual. Дата публикации: 2021-02-25.

Deep neural network based identification of realistic synthetic images generated using a generative adversarial network

Номер патента: US11688518B2. Автор: Min Zhang,Gopal B. Avinash,Ravi Soni,Zili Ma. Владелец: GE Precision Healthcare LLC. Дата публикации: 2023-06-27.

Method and computer implemented system for generating layout plan using neural network

Номер патента: US20220188625A1. Автор: Poyen Hsieh. Владелец: Individual. Дата публикации: 2022-06-16.

Training neural network with budding ensemble architecture based on diversity loss

Номер патента: US20230401427A1. Автор: Rafael Rosales,Neslihan Kose Cihangir,Qutub Syed Sha. Владелец: Intel Corp. Дата публикации: 2023-12-14.

Cursor-based adaptive quantization for deep neural networks

Номер патента: US20210232890A1. Автор: Zhiyu Cheng,Baopu Li,Yingze Bao,Yanwen FAN. Владелец: Baidu com Times Technology Beijing Co Ltd. Дата публикации: 2021-07-29.

Clustering, classifying, and searching documents using spectral computer vision and neural networks

Номер патента: US20200012851A1. Автор: Brent G. Stanley,Joseph Vance Haynes. Владелец: Neural Vision Technologies LLC. Дата публикации: 2020-01-09.

Neural networks processing units performance optimization parallel mode

Номер патента: US20230306235A1. Автор: Yaron Raz,Asher Hazanchuk. Владелец: Neuronix AI Labs Inc. Дата публикации: 2023-09-28.

Sparsity constraints and knowledge distillation based learning of sparser and compressed neural networks

Номер патента: AU2019232899A1. Автор: Ramya Hebbalaguppe,Srinidhi Hegde,Ranjitha Prasad. Владелец: Tata Consulting Ltd. Дата публикации: 2020-12-24.

Methods for training deep convolutional neural networks based on deep learning

Номер патента: RU2767337C2. Автор: Хун ГАО,Кай-Хоу ФАРХ,Лаксшман СУНДАРАМ,Джереми Фрэнсис МАКРЭЙ. Владелец: Иллюмина, Инк.. Дата публикации: 2022-03-17.

Embedding Concealed meta-data into Deep Neural Networks (DNNs)

Номер патента: US20240070238A1. Автор: Petar Djukic,Firouzeh GOLAGHAZADEH. Владелец: Ciena Corp. Дата публикации: 2024-02-29.

Sparsity constraints and knowledge distillation based learning of sparser and compressed neural networks

Номер патента: AU2019232899B2. Автор: Ramya Hebbalaguppe,Srinidhi Hegde,Ranjitha Prasad. Владелец: Tata Consulting Ltd. Дата публикации: 2021-06-24.

Deep neural network accelerator with memory having two-level topology

Номер патента: US20230334289A1. Автор: Deepak Abraham Mathaikutty,Robert Cezary Zaglewski. Владелец: Intel Corp. Дата публикации: 2023-10-19.

Deep Neural Network Processing Device with Decompressing Module, Decompressing Method and Compressing Method

Номер патента: US20230289588A1. Автор: Chun-Feng Huang,Chao-Wen Lin,Jung-Hsuan Liu. Владелец: Altek Semiconductor Corp. Дата публикации: 2023-09-14.

System and method for layer-wise training of deep neural networks

Номер патента: US20180158181A1. Автор: Rahul Kumar,Mandar Shrikant KULKARNI,Purushotam Gopaldas Radadia,Shirish Subhash Karande,Kanika Kalra,Anand Sriraman. Владелец: Tata Consultancy Services Ltd. Дата публикации: 2018-06-07.

Neural networks processing units weight sparsity removal

Номер патента: US20230306243A1. Автор: Yaron Raz,Asher Hazanchuk. Владелец: Neuronix AI Labs Inc. Дата публикации: 2023-09-28.

Automated test case generation for deep neural networks and other model-based artificial intelligence systems

Номер патента: US20200073788A1. Автор: Kuntal Dey,Diptikalyan Saha,Aniya Aggarwal,Pranay Lohia. Владелец: International Business Machines Corp. Дата публикации: 2020-03-05.

Bi-scaled deep neural networks

Номер патента: US20210103799A1. Автор: Leland Chang,Vijayalakshmi Srinivasan,Swagath Venkataramani,Shubham Jain. Владелец: International Business Machines Corp. Дата публикации: 2021-04-08.

Method of recognizing named entities in network text based on elimination of probability ambiguity in neural network

Номер патента: RU2722571C1. Автор: Бин ЛЮ,Ян Чжоу,Чжаою ХАНЬ,Чжонцю ВАН. Владелец: Чайна Юниверсити Оф Майнинг Энд Текнолоджи. Дата публикации: 2020-06-01.

Fast deep neural network training

Номер патента: US20190050689A1. Автор: Lei Zhang,Christopher J Buehler,Yandong Guo,Yuxiao Hu,Cornelia Carapcea. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2019-02-14.

Fast deep neural network training

Номер патента: EP3669298A1. Автор: Lei Zhang,Christopher J. Buehler,Yandong Guo,Yuxiao Hu,Cornelia Carapcea. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2020-06-24.

Fast deep neural network training

Номер патента: WO2019036106A1. Автор: Lei Zhang,Christopher J. Buehler,Yandong Guo,Yuxiao Hu,Cornelia Carapcea. Владелец: Microsoft Technology Licensing, LLC. Дата публикации: 2019-02-21.

Identifying one or more quantisation parameters for quantising values to be processed by a neural network

Номер патента: GB2620172A. Автор: CSÉFALVAY Szabolcs. Владелец: Imagination Technologies Ltd. Дата публикации: 2024-01-03.

Systems of neural networks compression and methods thereof

Номер патента: WO2022251317A1. Автор: Bo Yuan,Miao YIN. Владелец: Rutgers, The State University of New Jersey. Дата публикации: 2022-12-01.

Automated test case generation for deep neural networks and other model-based artificial intelligence systems

Номер патента: US11379347B2. Автор: Kuntal Dey,Diptikalyan Saha,Aniya Aggarwal,Pranay Lohia. Владелец: International Business Machines Corp. Дата публикации: 2022-07-05.

System improvement for deep neural networks

Номер патента: US11727273B2. Автор: Alexandru Malaescu,Mihai Ciuc,Liviu-Cristian DUTU,Dan Filip,Adrian Dorin CAPATA,Alina SULTANA. Владелец: Fotonation Ireland Ltd. Дата публикации: 2023-08-15.

Systems and methods for quantizing a neural network

Номер патента: EP3843013A1. Автор: Girish Venkataramani,Shixin Zhuang,Jayaprabha Shankar,Vaidehi Venkatesan,Fnu Hanumantharayappa. Владелец: MathWorks Inc. Дата публикации: 2021-06-30.

System improvement for deep neural networks

Номер патента: US20210089831A1. Автор: Alexandru Malaescu,Mihai Ciuc,Liviu-Cristian DUTU,Dan Filip,Adrian Dorin CAPATA,Alina SULTANA. Владелец: Fotonation Ireland Ltd. Дата публикации: 2021-03-25.

System Improvement For Deep Neural Networks

Номер патента: US20220092361A1. Автор: Alexandru Malaescu,Mihai Ciuc,Liviu-Cristian DUTU,Dan Filip,Adrian Dorin CAPATA,Alina SULTANA. Владелец: Fotonation Ireland Ltd. Дата публикации: 2022-03-24.

Efficiently building deep neural networks

Номер патента: WO2020041026A8. Автор: James K. Baker. Владелец: D5AI LLC. Дата публикации: 2020-08-27.

Method and apparatus for a neural network

Номер патента: EP3982295A1. Автор: Benjamin Hettwer. Владелец: ROBERT BOSCH GMBH. Дата публикации: 2022-04-13.

Automatic hybrid quantization for deep neural network

Номер патента: US20220188626A1. Автор: Chang Xu,Qing Wang,Tao Wang,Chao XUE. Владелец: International Business Machines Corp. Дата публикации: 2022-06-16.

Method, computer program and device for quantizing a deep neural network

Номер патента: US20230334301A1. Автор: Stéphane PRALET,Théo BEUZEVILLE,Alfredo BUTTARI,Serge GRATTON. Владелец: Universite Toulouse III Paul Sabatier. Дата публикации: 2023-10-19.

Joint pruning and quantization scheme for deep neural networks

Номер патента: US12131258B2. Автор: YING Wang,Jilei Hou,Yadong Lu,Tijmen Pieter Frederik BLANKEVOORT,Christos LOUIZOS,Matthias REISSER. Владелец: Qualcomm Inc. Дата публикации: 2024-10-29.

Early-exit neural networks for radar processing

Номер патента: US20240310485A1. Автор: Lorenzo Servadei,Bernd Waschneck,Max SPONNER. Владелец: Infineon Technologies Dresden GmbH and Co KG. Дата публикации: 2024-09-19.

Method and system for approximating deep neural networks for anatomical object detection

Номер патента: US09633306B2. Автор: Bogdan Georgescu,Dorin Comaniciu,Hien Nguyen,David Liu,Shaohua Kevin Zhou,Yefeng Zheng,Vivek Kumar Singh,Jan Kretschmer,Nathan Lay. Владелец: Siemens Healthcare GmbH. Дата публикации: 2017-04-25.

Methods and apparatus to perform low overhead sparsity acceleration logic for multi-precision dataflow in deep neural network accelerators

Номер патента: US20220292366A1. Автор: Michael Wu,Arnab Raha,Martin Langhammer,Debabrata Mohapatra,Nihat Tunali. Владелец: Intel Corp. Дата публикации: 2022-09-15.

Sparsity constraints and knowledge distillation based learning of sparser and compressed neural networks

Номер патента: CA3056098C. Автор: Ramya Hebbalaguppe,Ranjitha Prasad,Srinidhi Hedge. Владелец: Tata Consultancy Services Ltd. Дата публикации: 2022-05-17.

Deep neural network with compositional grammatical architectures

Номер патента: WO2020102526A1. Автор: Tianfu WU,Xilai LI. Владелец: North Carolina State University. Дата публикации: 2020-05-22.

Deep neural network with multiple layers formed of multi‑terminal logic gates

Номер патента: WO2023219898A1. Автор: Fabio Lorenzo Traversa. Владелец: MemComputing, Inc.. Дата публикации: 2023-11-16.

System and methods for detecting a copy of a deep neural network in a hearing device

Номер патента: US20240256665A1. Автор: Harald Krueger,Sebastian Stenzel,Sebastian Kroedel,Claudio Santelli,Christos DIMOPOULOS. Владелец: Sonova AG. Дата публикации: 2024-08-01.

Processing images using deep neural networks

Номер патента: US09911069B1. Автор: Christian Szegedy,Vincent O. Vanhoucke. Владелец: Google LLC. Дата публикации: 2018-03-06.

Processing images using deep neural networks

Номер патента: US09904875B2. Автор: Christian Szegedy,Vincent O. Vanhoucke. Владелец: Google LLC. Дата публикации: 2018-02-27.

Processing images using deep neural networks

Номер патента: US09715642B2. Автор: Christian Szegedy,Vincent O. Vanhoucke. Владелец: Google LLC. Дата публикации: 2017-07-25.

Fixed-point quantization in neural networks for vehicle perception systems

Номер патента: US20200134324A1. Автор: Wei Tong,Shuqing Zeng,Shige Wang,Roman L. Millett. Владелец: GM GLOBAL TECHNOLOGY OPERATIONS LLC. Дата публикации: 2020-04-30.

Delta-sigma modulation neurons for high-precision training of memristive synapses in deep neural networks

Номер патента: WO2020115746A1. Автор: Shahar Kvatinsky,Loai DANIAL. Владелец: TECHNION RESEARCH & DEVELOPMENT FOUNDATION LIMITED. Дата публикации: 2020-06-11.

Deep Neural Networks with No Multiplications and No Floating Point Operations

Номер патента: US20210209475A1. Автор: Shumeet Baluja,David Marwood. Владелец: Google LLC. Дата публикации: 2021-07-08.

Deep neural networks for synthesis and optimization of smooth surfaced 3d objects

Номер патента: US20230297743A1. Автор: Wei Chen,Arun Ramamurthy. Владелец: SIEMENS AG. Дата публикации: 2023-09-21.

Method and electronic device for selecting deep neural network hyperparameters

Номер патента: US20210174210A1. Автор: Chien-Chih Huang,Chao-Hong Chen,Ming-Chun Hsyu. Владелец: Industrial Technology Research Institute ITRI. Дата публикации: 2021-06-10.

Deep neural networks for synthesis and optimization of smooth surfaced 3d objects

Номер патента: EP4143730A1. Автор: Wei Chen,Arun Ramamurthy. Владелец: SIEMENS AG. Дата публикации: 2023-03-08.

Deep neural networks for synthesis and optimization of smooth surfaced 3d objects

Номер патента: WO2021247662A1. Автор: Wei Chen,Arun Ramamurthy. Владелец: Siemens Corporation. Дата публикации: 2021-12-09.

Hybrid neural network and autoencoder

Номер патента: GB2596477A. Автор: Madasu Srinath,Prasad Rangarajan Keshava. Владелец: Landmark Graphics Corp. Дата публикации: 2021-12-29.

System for allocating deep neural network to processing unit based on reinforcement learning and operation method of the system

Номер патента: US20240249150A1. Автор: Seunghun CHOI,Sungwoo Chung,Younggeun KIM. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2024-07-25.

System for allocating deep neural network to processing unit based on reinforcement learning and operation method of the system

Номер патента: EP4404103A1. Автор: Seunghun CHOI,Sungwoo Chung,Younggeun KIM. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2024-07-24.

Early-exit neural networks for radar processing

Номер патента: EP4432162A1. Автор: Lorenzo Servadei,Bernd Waschneck,Max SPONNER. Владелец: Infineon Technologies Dresden GmbH and Co KG. Дата публикации: 2024-09-18.

Deep neural network architecture for semantic segmentation of form images

Номер патента: AU2018203368B2. Автор: Balaji Krishnamurthy,Mausoom Sarkar. Владелец: Adobe Inc. Дата публикации: 2021-07-08.

Quantum information processor based on dynamic neural networks

Номер патента: EP3617956A1. Автор: Ignacio Ozcariz. Владелец: Individual. Дата публикации: 2020-03-04.

Remote sensing image scene classification method based on deep neural network automatic learning

Номер патента: AU2021103314A4. Автор: Li Chen,Haifeng Li,Jian Peng,Haozhe Huang,Zhenqi Cui. Владелец: CENTRAL SOUTH UNIVERSITY. Дата публикации: 2021-10-21.

Neural networks for information extraction from transaction data

Номер патента: EP3610420A1. Автор: Matthew SEVRENS,Zixuan PAN. Владелец: Yodlee Inc. Дата публикации: 2020-02-19.

Systems of neural networks compression and methods thereof

Номер патента: US20240135180A1. Автор: Bo Yuan,Miao YIN. Владелец: Rutgers State University of New Jersey. Дата публикации: 2024-04-25.

Hierarchical coarse-grain sparsity for deep neural networks

Номер патента: US20230129133A1. Автор: Jae-sun Seo,Visar Berisha,Deepak Kadetotad,Chaitali Chakrabarti. Владелец: Arizona State University ASU. Дата публикации: 2023-04-27.

Computer-implemented method for continual learning of multiple tasks sequentially using a deep neural network together with a plurality of task-attention modules

Номер патента: US20240135170A1. Автор: Elahe Arani,Bahram Zonooz,Prashant Shivaram Bhat. Владелец: Navinfo Europe BV. Дата публикации: 2024-04-25.

Energy-efficient deep neural network training on distributed split attributes

Номер патента: WO2022173356A1. Автор: Konstantinos Vandikas,Selim ICKIN. Владелец: Telefonaktiebolaget lM Ericsson (publ). Дата публикации: 2022-08-18.

Emotion recognition in multimedia videos using multi-modal fusion-based deep neural network

Номер патента: US20230154172A1. Автор: Pankaj Wasnik,Naoyuki Onoe,Vishal Chudasama. Владелец: Sony Group Corp. Дата публикации: 2023-05-18.

Emotion recognition in multimedia videos using multi-modal fusion-based deep neural network

Номер патента: EP4413565A1. Автор: Pankaj Wasnik,Naoyuki Onoe,Vishal Chudasama. Владелец: Sony Group Corp. Дата публикации: 2024-08-14.

Adaptable online breakpoint detection over i/o trace time series via deep neural network autoencoders re-parameterization

Номер патента: US20200349427A1. Автор: Vinicius Michel Gottin,Eduardo Vera Sousa,Percy Rivera Salas. Владелец: EMC IP Holding Co LLC. Дата публикации: 2020-11-05.

Artificial intelligent agent memory system managed by neural networks

Номер патента: US20210304000A1. Автор: Mohammad Rasoolinejad. Владелец: Individual. Дата публикации: 2021-09-30.

Semantic parsing using deep neural networks for predicting canonical forms

Номер патента: US09858263B2. Автор: Marc Dymetman,Chunyang Xiao,Claire Gardent. Владелец: Conduent Business Services LLC. Дата публикации: 2018-01-02.

Artifact correction using neural networks

Номер патента: US09798612B1. Автор: Jakob Nicolaus Foerster,Alexander Mordvintsev. Владелец: Google LLC. Дата публикации: 2017-10-24.

Image classification neural networks

Номер патента: WO2017142629A1. Автор: Sergey Ioffe,Christian Szegedy,Vincent O. Vanhoucke. Владелец: GOOGLE INC.. Дата публикации: 2017-08-24.

Compression of deep neural networks

Номер патента: US11966837B2. Автор: Lam Nguyen,Jayant R. Kalagnanam,Nam H. Nguyen,Dzung Phan. Владелец: International Business Machines Corp. Дата публикации: 2024-04-23.

Turbo training for deep neural networks

Номер патента: WO2022250841A1. Автор: Douglas C. Burger,Eric S. Chung,Ritchie Zhao,Bita DARVISH ROUHANI,Maximilian Golub. Владелец: Microsoft Technology Licensing, LLC. Дата публикации: 2022-12-01.

Staged neural networks for solving np hard/complete problems

Номер патента: US20200242448A1. Автор: John Paul Strachan,Thomas VAN VAERENBERGH,Suhas Kumar. Владелец: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP. Дата публикации: 2020-07-30.

Sparsity-based reduction of gate switching in deep neural network accelerators

Номер патента: US20230325665A1. Автор: Arnab Raha,Martin Langhammer,Martin Power. Владелец: Intel Corp. Дата публикации: 2023-10-12.

Deep neural network for matching entities in semi-structured data

Номер патента: US20220092405A1. Автор: Rohit Kumar Gupta,Matthias Frank,Cordula Guder,Alexey Streltsov,Hoang-Vu Nguyen,Stefan Klaus Baur,Jasmin Mankad,Konrad Schenk,Philipp Lukas Jamscikov. Владелец: SAP SE. Дата публикации: 2022-03-24.

Accessible neural network image processing workflow

Номер патента: US11972511B2. Автор: Lars Omlor,Andriy Andreyev,Christoph Hilmar GRAF VOM HAGEN,Matthew Andrew. Владелец: Carl Zeiss X Ray Microscopy Inc. Дата публикации: 2024-04-30.

Generating new views with deep neural networks from unstructured input

Номер патента: EP4057232A1. Автор: Vladlen Koltun,Gernot Riegler. Владелец: Intel Corp. Дата публикации: 2022-09-14.

Generating new views with deep neural networks from unstructured input

Номер патента: EP3945500A1. Автор: Vladlen Koltun,Gernot Riegler. Владелец: Intel Corp. Дата публикации: 2022-02-02.

Method and apparatus for a neural network

Номер патента: US20220121938A1. Автор: Benjamin Hettwer. Владелец: ROBERT BOSCH GMBH. Дата публикации: 2022-04-21.

Fused Convolutions for Fast Deep Neural Network

Номер патента: US20240143982A1. Автор: Vijayalakshmi Srinivasan,Swagath Venkataramani,Sarada KRITHIVASAN. Владелец: International Business Machines Corp. Дата публикации: 2024-05-02.

Efficiently building deep neural networks

Номер патента: US20210049470A1. Автор: James K. Baker. Владелец: D5AI LLC. Дата публикации: 2021-02-18.

Deep neural network for matching entities in semi-structured data

Номер патента: EP3989124A1. Автор: Rohit Kumar Gupta,Matthias Frank,Cordula Guder,Alexey Streltsov,Hoang-Vu Nguyen,Stefan Klaus Baur,Jasmin Mankad,Konrad Schenk,Philipp Lukas Jamscikov. Владелец: SAP SE. Дата публикации: 2022-04-27.

Accessible neural network image processing workflow

Номер патента: EP4367639A1. Автор: Lars Omlor,Andriy Andreyev,Christoph Hilmar GRAF VOM HAGEN,Matthew Andrew. Владелец: Carl Zeiss X Ray Microscopy Inc. Дата публикации: 2024-05-15.

Accessible neural network image processing workflow

Номер патента: WO2023283402A1. Автор: Lars Omlor,Andriy Andreyev,Christoph Hilmar GRAF VOM HAGEN,Matthew Andrew. Владелец: Carl Zeiss X-ray Microscopy, Inc.. Дата публикации: 2023-01-12.

Hardening a deep neural network against adversarial attacks using a stochastic ensemble

Номер патента: US20240062042A1. Автор: Zhengyu Chen,Ajay Divakaran,Michael Piacentino,Aswin Nadamuni Raghavan,Saurabh FARKYA,Avraham Joshua Ziskind,Jesse Albert Hostetler. Владелец: SRI International Inc. Дата публикации: 2024-02-22.

Method and apparatus for a neural network

Номер патента: US20220114422A1. Автор: Benjamin Hettwer. Владелец: ROBERT BOSCH GMBH. Дата публикации: 2022-04-14.

Method and apparatus for a neural network

Номер патента: EP3985567A1. Автор: Benjamin Hettwer. Владелец: ROBERT BOSCH GMBH. Дата публикации: 2022-04-20.

Method and system for training dynamic deep neural network

Номер патента: US20220222525A1. Автор: SEUNGJAE LEE,JUNG Jae Yu,Keun Dong LEE,Su Woong Lee,Yongsik Lee,Wonyoung Yoo,Jong-Gook Ko,Da-Un JUNG. Владелец: Electronics and Telecommunications Research Institute ETRI. Дата публикации: 2022-07-14.

Slimmable neural network architecture search optimization

Номер патента: US12026619B1. Автор: NING Xu,Gerard Guy Medioni,Leonid Pishchulin,Maxim Berman. Владелец: Amazon Technologies Inc. Дата публикации: 2024-07-02.

Deep neural network accelerating method using ring tensors and system thereof

Номер патента: US20210383198A1. Автор: Chao-Tsung Huang. Владелец: National Tsing Hua University NTHU. Дата публикации: 2021-12-09.

Method and system for searching deep neural network architecture

Номер патента: US20230214646A1. Автор: Chan-Hyun Youn,Heejae Kim,Kyungchae Lee,Linh Le Vu. Владелец: Korea Advanced Institute of Science and Technology KAIST. Дата публикации: 2023-07-06.

System and method for query to ad matching using deep neural net based query embedding

Номер патента: US12061979B2. Автор: Jun Shi,Andrew Feng,Erik Ordentlich,Milind Rao. Владелец: Yahoo AD Tech LLC. Дата публикации: 2024-08-13.

Variant classifier based on deep neural networks

Номер патента: CA3065784A1. Автор: Aaron WISE,Kristina M. KRUGLYAK. Владелец: Illumina Inc. Дата публикации: 2019-10-17.

Medical image segmentation with a multi-task neural network system

Номер патента: WO2018015080A1. Автор: Michael Kelm,Olivier Pauly. Владелец: Siemens Healthcare GmbH. Дата публикации: 2018-01-25.

Deep neural network with multiple layers formed of multi-terminal logic gates

Номер патента: US20230359875A1. Автор: Fabio Lorenzo Traversa. Владелец: Memcomputing Inc. Дата публикации: 2023-11-09.

Variant classifier based on deep neural networks

Номер патента: AU2023282274A1. Автор: Aaron WISE,Kristina M. KRUGLYAK. Владелец: Illumina Inc. Дата публикации: 2024-01-18.

Method and apparatus for accelerating deep learning and deep neural network

Номер патента: US11586926B2. Автор: Jun Sun,Liuan Wang. Владелец: Fujitsu Ltd. Дата публикации: 2023-02-21.

Mtj-based hardware synapse implementation for binary and ternary deep neural networks

Номер патента: US20210174182A1. Автор: Shahar Kvatinsky,Tzofnat GREENBERG,Daniel Soudry. Владелец: Technion Research and Development Foundation Ltd. Дата публикации: 2021-06-10.

Processing images using deep neural networks

Номер патента: US11809955B2. Автор: Christian Szegedy,Vincent O. Vanhoucke. Владелец: Google LLC. Дата публикации: 2023-11-07.

Address information feature extraction method based on deep neural network model

Номер патента: US11941522B2. Автор: Feng Zhang,Ruichen MAO,Zhenhong DU,Liuchang XU,Huaxin YE. Владелец: Zhejiang University ZJU. Дата публикации: 2024-03-26.

Method and apparatus for accelerating deep learning and deep neural network

Номер патента: US20190362236A1. Автор: Jun Sun,Liuan Wang. Владелец: Fujitsu Ltd. Дата публикации: 2019-11-28.

Evolutional deep neural networks

Номер патента: US20240143970A1. Автор: Yifan DU,Tamer ZAKI. Владелец: JOHNS HOPKINS UNIVERSITY. Дата публикации: 2024-05-02.

Deep neural network with compositional grammatical architectures

Номер патента: US20220004709A1. Автор: Tianfu WU,Xilai LI. Владелец: North Carolina State University. Дата публикации: 2022-01-06.

Method for predicting and updating groundwater level in foundation pit dewatering area based on deep neural network

Номер патента: LU502989B1. Автор: Yao Wang,Lihua Lu,Haixia Sun. Владелец: Univ Shenyang Technology. Дата публикации: 2023-05-04.

Framework for coding and decoding low rank and displacement rank-based layers of deep neural networks

Номер патента: WO2020219375A1. Автор: Shahab Hamidi-Rad,Fabien Racape,Swayambhoo JAIN. Владелец: InterDigital VC Holdings, Inc.. Дата публикации: 2020-10-29.

Hybrid neural network and autoencoder

Номер патента: WO2020222879A1. Автор: Keshava Prasad RANGARAJAN,Srinath MADASU. Владелец: Landmark Graphics Corporation. Дата публикации: 2020-11-05.

Deep neural network implementation

Номер патента: US20200034696A1. Автор: Chao Zhu,Junsong Wang,Yonghua Lin,Yan GY Gong. Владелец: International Business Machines Corp. Дата публикации: 2020-01-30.

Digital neural network

Номер патента: US20220405056A1. Автор: Martinus Bos,Philip Winterbottom. Владелец: Celestial Al Inc. Дата публикации: 2022-12-22.

Deep neural networks with no multiplications and no floating point operations

Номер патента: WO2019222724A1. Автор: Shumeet Baluja,David Marwood. Владелец: Google LLC. Дата публикации: 2019-11-21.

Apparatus and method for training deep neural network using error propagation, weight gradient updating, and feed-forward processing

Номер патента: US11915141B2. Автор: Hoi Jun Yoo,Dong Hyeon HAN. Владелец: Korea Advanced Institute of Science and Technology KAIST. Дата публикации: 2024-02-27.

System for local optimization of object detector based on deep neural network and method of creating local database therefor

Номер патента: US12026231B2. Автор: Kil Taek LIM,Jang Woon Baek,Yun Won Choi,Joon Goo Lee,Byung Gil HAN. Владелец: Electronics and Telecommunications Research Institute ETRI. Дата публикации: 2024-07-02.

Systems and methods for robust watermarking of deep neural networks

Номер патента: US20230121374A1. Автор: Peng Yang,Ping Li,Yingjie Lao. Владелец: Baidu USA LLC. Дата публикации: 2023-04-20.

Method for training a robust deep neural network model

Номер патента: US20210166123A1. Автор: Elahe Arani,Bahram Zonooz,Fahad Sarfraz. Владелец: Navinfo Europe BV. Дата публикации: 2021-06-03.

Adversial deep neural network fuzzing

Номер патента: US20200125943A1. Автор: Dov Murik,Fady Copty. Владелец: International Business Machines Corp. Дата публикации: 2020-04-23.

Self-stabilized deep neural network

Номер патента: US20170185897A1. Автор: James G. Droppo,Pegah Ghahremani,Avner May. Владелец: Microsoft Corp. Дата публикации: 2017-06-29.

Learned threshold pruning for deep neural networks

Номер патента: EP4042333A1. Автор: Jin Won Lee,Kambiz Azarian Yazdi,Tijmen Pieter Frederik BLANKEVOORT,Yash Sanjay BHALGAT. Владелец: Qualcomm Inc. Дата публикации: 2022-08-17.

Learned threshold pruning for deep neural networks

Номер патента: WO2021072338A1. Автор: Jin Won Lee,Kambiz Azarian Yazdi,Tijmen Pieter Frederik BLANKEVOORT,Yash Sanjay BHALGAT. Владелец: QUALCOMM INCORPORATED. Дата публикации: 2021-04-15.

Method for predicting remaining useful life (rul) of aero-engine based on automatic differential learning deep neural network (adldnn)

Номер патента: US20230141864A1. Автор: Yi Qin,Jun Luo,Huayan Pu,Quan QIAN,Sheng Xiang. Владелец: Chongqing University. Дата публикации: 2023-05-11.

Taxonn: a light-weight accelerator for training deep neural networks on the edge

Номер патента: US20240127069A1. Автор: Kamyar Givaki,Ahmad Khonsari,Dara Rahmati,Mohammadhassan NAJAF,Reza HOJABR,Kossar POURAHMADI,Parsa NOORALINEJAD. Владелец: Louisiana Lafayette, University of. Дата публикации: 2024-04-18.

Electronic system for data processing by a self-correcting, deep neural network integrated within a memory resource

Номер патента: US12093825B2. Автор: Ananthakrishnan Venkataraman,Vidya Srikanth. Владелец: Bank of America Corp. Дата публикации: 2024-09-17.

Data compression device and method for a deep neural network

Номер патента: US20220083835A1. Автор: Shu-Wei Teng,Chin-Chung Yen. Владелец: Cvitek Co Ltd. Дата публикации: 2022-03-17.

Font recognition and font similarity learning using a deep neural network

Номер патента: US09501724B1. Автор: Elya Shechtman,Jianchao Yang,Hailin Jin,Jonathan Brandt,Aseem Omprakash Agarwala,Zhangyang Wang. Владелец: Adobe Systems Inc. Дата публикации: 2016-11-22.

Utilizing a deep neural network-based model to identify visually similar digital images based on user-selected visual attributes

Номер патента: GB2573849A. Автор: Lin Zhe,Shen Xiaohui,Zhang Jianming,Ling Mingyang,Butterfield Brett,KUEN JASON. Владелец: Adobe Inc. Дата публикации: 2019-11-20.

Real-time predictive maintenance of hardware components using a stacked deep learning architecture on time-variant parameters combined with a dense neural network supplied with exogeneous static outputs

Номер патента: US11487996B2. Автор: Arnab Chowdhury,Ramakanth Kanagovi. Владелец: Dell Products LP. Дата публикации: 2022-11-01.

Deep neural network partitioning on servers

Номер патента: WO2017003837A1. Автор: Eric Chung,Joo-Young Kim,Karin Strauss,Olatunji Ruwase,Kalin Ovtcharov. Владелец: Microsoft Technology Licensing, LLC. Дата публикации: 2017-01-05.

Hybrid neural network and autoencoder

Номер патента: US20210201160A1. Автор: Keshava Prasad RANGARAJAN,Srinath MADASU. Владелец: Landmark Graphics Corp. Дата публикации: 2021-07-01.

Lossy layer compression for dynamic scaling of deep neural network processing

Номер патента: US11961000B2. Автор: Wesley James HOLLAND. Владелец: Qualcomm Inc. Дата публикации: 2024-04-16.

Deep neural network processor with interleaved backpropagation

Номер патента: EP3710995A1. Автор: John E. Mixter,John R. Goulding,David R. Mucha,Troy A. GANGWER,Ryan D. SILVA. Владелец: Raytheon Co. Дата публикации: 2020-09-23.

Apparatus and method for training low bit-precision deep neural network

Номер патента: US20220222523A1. Автор: Hoi Jun Yoo,Dong Hyeon HAN. Владелец: Korea Advanced Institute of Science and Technology KAIST. Дата публикации: 2022-07-14.

Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications

Номер патента: US20210156963A1. Автор: David Nister,Shane Murray,Sangmin Oh,Nikolai Smolyanskiy,Tilman WEKEL,Ruchi Bhargava,Joachim Pehserl,Ryan Oldja,Alexander Popov. Владелец: Nvidia Corp. Дата публикации: 2021-05-27.

Methods, systems, and media for deep neural network interpretation via rule extraction

Номер патента: US20220138505A1. Автор: Yong Zhang,Lingyang CHU,Lanjun Wang,Cho Ho LAM. Владелец: Individual. Дата публикации: 2022-05-05.

Methods, systems, and media for deep neural network interpretation via rule extraction

Номер патента: US11429815B2. Автор: Yong Zhang,Lingyang CHU,Lanjun Wang,Cho Ho LAM. Владелец: Huawei Cloud Computing Technologies Co Ltd. Дата публикации: 2022-08-30.

Methods, systems, and media for deep neural network interpretation via rule extraction

Номер патента: WO2022088751A1. Автор: Yong Zhang,Lingyang CHU,Lanjun Wang,Cho Ho LAM. Владелец: Huawei Cloud Computing Technologies Co., Ltd.. Дата публикации: 2022-05-05.

Learning to process images depicting faces without leveraging sensitive attributes in deep learning models

Номер патента: US10650276B1. Автор: Erik Mueller,Omar Florez CHOQUE. Владелец: Capital One Services LLC. Дата публикации: 2020-05-12.

Anomaly detection for deep neural networks

Номер патента: US11893085B2. Автор: Gaurav Pandey. Владелец: FORD GLOBAL TECHNOLOGIES LLC. Дата публикации: 2024-02-06.

Adaptive Off-ramp Training and Inference for Early Exits in a Deep Neural Network

Номер патента: US20220398451A1. Автор: Siva Kalyana Pavan Kumar Mallapragada Naga Surya,Joseph John Pfeiffer, III,Davis Leland GILTON. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2022-12-15.

Continuous learning of simulation trained deep neural network model

Номер патента: US20190378005A1. Автор: Djoni Eka Sidarta,Ho Joon LIM,James Francis O'sullivan. Владелец: Technip France SAS. Дата публикации: 2019-12-12.

Continuous learning of simulation trained deep neural network model for floating production platforms, vessels and other floating systems

Номер патента: EP3802310A1. Автор: Djoni Eka Sidarta,Ho Joon LIM,James Francis O'sullivan. Владелец: Technip France SAS. Дата публикации: 2021-04-14.

Compression method for deep neural network, chip, electronic device and medium

Номер патента: EP3836035A1. Автор: Ji Zhou,Xinpeng Feng. Владелец: NextVPU Shanghai Co Ltd. Дата публикации: 2021-06-16.

Training set enhancement for neural networks

Номер патента: US11868437B1. Автор: Jonathan Taylor,Syed Zain Masood,R J Burnham,Sam Michel. Владелец: Sighthound Inc. Дата публикации: 2024-01-09.

Loss-scaling for deep neural network training with reduced precision

Номер патента: US11842280B2. Автор: Hao Wu,Jonah Alben,Paulius Micikevicius. Владелец: Nvidia Corp. Дата публикации: 2023-12-12.

Deep neural networks with semantically weighted loss functions

Номер патента: US11875250B1. Автор: WEI Xia,Weixin Wu,Meng Wang. Владелец: Amazon Technologies Inc. Дата публикации: 2024-01-16.

Non-uniform quantization of pre-trained deep neural network

Номер патента: US20200097823A1. Автор: Hui Chen,Ilia Ovsiannikov. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2020-03-26.

Compute-in-memory architecture for neural networks

Номер патента: WO2020018960A1. Автор: Gert Cauwenberghs,Rajkumar CHINNAKONDA KUBENDRAN,Hesham MOSTAFA. Владелец: The Regents of the University of California. Дата публикации: 2020-01-23.

Method for predicting yield of calcium in a calcium treatment process based on deep neural network

Номер патента: US20220406413A1. Автор: YAN Luo,Ying Ren,Lifeng Zhang,Qiang Ren,Weijian Wang. Владелец: University of Science and Technology Beijing USTB. Дата публикации: 2022-12-22.

Non-uniform quantization of pre-trained deep neural network

Номер патента: US11710043B2. Автор: Hui Chen,Ilia Ovsiannikov. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2023-07-25.

Non-uniform quantization of pre-trained deep neural network

Номер патента: US20220269945A1. Автор: Hui Chen,Ilia Ovsiannikov. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2022-08-25.

Loss-scaling for deep neural network training with reduced precision

Номер патента: WO2018204910A1. Автор: Hao Wu,Jonah Alben,Paulius Micikevicius. Владелец: NVIDIA CORPORATION. Дата публикации: 2018-11-08.

Method and system for deep neural networks using dynamically selected feature-relevant points from a point cloud

Номер патента: US20200151557A1. Автор: Ehsan NEZHADARYA,Bingbing LIU,Ehsan Taghavi. Владелец: Individual. Дата публикации: 2020-05-14.

Device and method for processing data of a neural network

Номер патента: US20220343641A1. Автор: Thomas Wenzel,Armin Runge. Владелец: ROBERT BOSCH GMBH. Дата публикации: 2022-10-27.

Sysyem and method for improving deep neural network performance

Номер патента: CA3054404A1. Автор: Yanshuai Cao,Ruitong Huang,Junfeng WEN. Владелец: ROYAL BANK OF CANADA. Дата публикации: 2020-03-05.

Adaptable online breakpoint detection over I/O trace time series via deep neural network autoencoders re-parameterization

Номер патента: US11550686B2. Автор: Vinicius Michel Gottin,Eduardo Vera Sousa,Percy Rivera Salas. Владелец: EMC IP Holding Co LLC. Дата публикации: 2023-01-10.

Loss-scaling for deep neural network training with reduced precision

Номер патента: US20240078433A1. Автор: Hao Wu,Jonah Alben,Paulius Micikevicius. Владелец: Nvidia Corp. Дата публикации: 2024-03-07.

Adaptive off-ramp training and inference for early exits in a deep neural network

Номер патента: WO2022265773A1. Автор: Siva Kalyana Pavan Kumar Mallapragada Naga Surya,Joseph John Pfeiffer, III,Davis Leland GILTON. Владелец: Microsoft Technology Licensing, LLC. Дата публикации: 2022-12-22.

Adaptive off-ramp training and inference for early exits in a deep neural network

Номер патента: EP4356304A1. Автор: Siva Kalyana Pavan Kumar Mallapragada Naga Surya,Joseph John Pfeiffer, III,Davis Leland GILTON. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2024-04-24.

Using Graph Structures to Represent Node State in Deep Reinforcement Learning (RL)-Based Decision Tree Construction

Номер патента: US20220335300A1. Автор: Yaniv BEN-ITZHAK,Shay Vargaftik,Ayal Taitler. Владелец: VMware LLC. Дата публикации: 2022-10-20.

A computer-implemented method for continual learning of multiple tasks sequentially using a deep neural network together with a plurality of task-attention modules

Номер патента: NL2033879B1. Автор: Arani Elahe,Zonooz Bahram,Shivaram Bhat Prashant. Владелец: Navinfo Europe B V. Дата публикации: 2024-04-03.

A computer-implemented method for continual learning of multiple tasks sequentially using a deep neural network together with a plurality of task-attention modules

Номер патента: EP4343622A1. Автор: Elahe Arani,Bahram Zonooz,Prashant Shivaram Bhat. Владелец: Navinfo Europe BV. Дата публикации: 2024-03-27.

Method and system for deep neural networks using dynamically selected feature-relevant points from point cloud

Номер патента: EP3857510A1. Автор: Ehsan NEZHADARYA,Bingbing LIU,Ehsan Taghavi. Владелец: Huawei Technologies Co Ltd. Дата публикации: 2021-08-04.

Energy-efficient deep neural network training on distributed split attributes

Номер патента: EP4292020A1. Автор: Konstantinos Vandikas,Selim ICKIN. Владелец: Telefonaktiebolaget LM Ericsson AB. Дата публикации: 2023-12-20.

Adaptive block switching with deep neural networks

Номер патента: WO2022082021A1. Автор: Grant A. Davidson,Cong Zhou,Mark S. Vinton. Владелец: DOLBY LABORATORIES LICENSING CORPORATION. Дата публикации: 2022-04-21.

Method for providing companion animal sound service with artificial intelligence based on deep neural network machine learning

Номер патента: US20210383217A1. Автор: Sung Ki Lim,Myung Ki LIM. Владелец: Individual. Дата публикации: 2021-12-09.

Energy-efficient deep neural network training on distributed split attributes

Номер патента: US20240119305A1. Автор: Konstantinos Vandikas,Selim ICKIN. Владелец: Telefonaktiebolaget LM Ericsson AB. Дата публикации: 2024-04-11.

System and method for classifying skin cancer lesions using deep neural networks and transfer learning

Номер патента: AU2021105721A4. Автор: Danny Joel Devarapalli,Harshit Gorijavolu,Venkata Sai Dheeraj Mavilla,Sri Anjaneya Nimmakuri,Sai Prashanth Reddy Karri. Владелец: Individual. Дата публикации: 2021-11-18.

Adaptive block switching with deep neural networks

Номер патента: US20230386486A1. Автор: Grant A. Davidson,Cong Zhou,Mark S. Vinton. Владелец: Dolby Laboratories Licensing Corp. Дата публикации: 2023-11-30.

System and method for improving deep neural network performance

Номер патента: US11755916B2. Автор: Yanshuai Cao,Ruitong Huang,Junfeng WEN. Владелец: ROYAL BANK OF CANADA. Дата публикации: 2023-09-12.

Adaptive block switching with deep neural networks

Номер патента: EP4229633A1. Автор: Grant A. Davidson,Cong Zhou,Mark S. Vinton. Владелец: Dolby Laboratories Licensing Corp. Дата публикации: 2023-08-23.

Word sense disambiguation using a deep logico-neural network

Номер патента: US20220100962A1. Автор: Alexander Gray,Francois Pierre Luus,Ismail Yunus Akhalwaya,Ndivhuwo Makondo,Naweed Aghmad Khan,Ryan Nelson Riegel. Владелец: International Business Machines Corp. Дата публикации: 2022-03-31.

Implementation of a neural network in multicore hardware

Номер патента: GB2599911A. Автор: Huang Xiran,Escobar Fernando. Владелец: Imagination Technologies Ltd. Дата публикации: 2022-04-20.

Deep neural network

Номер патента: US20230146689A1. Автор: R. Iris Bahar,Sherief Reda,Hokchhay Tann,Soheil Hashemi. Владелец: BROWN UNIVERSITY. Дата публикации: 2023-05-11.

Implementation of a neural network in multicore hardware

Номер патента: GB2621217A. Автор: Huang Xiran,Escobar Fernando. Владелец: Imagination Technologies Ltd. Дата публикации: 2024-02-07.

Implementation of a neural network in multicore hardware

Номер патента: GB2621218A. Автор: Huang Xiran,Escobar Fernando. Владелец: Imagination Technologies Ltd. Дата публикации: 2024-02-07.

Quantized neural network architecture

Номер патента: WO2024064440A1. Автор: DEEPAK Mathew,James Lee,Marc Hoffman,Gerald Sweeney,Ankita NAYAK,Mansi Jain,Srijesh SUDARSANAN,Sundar Rajan BALASUBRAMANIAN. Владелец: QUALCOMM INCORPORATED. Дата публикации: 2024-03-28.

System and method for image processing using deep neural networks

Номер патента: US11861497B2. Автор: Cheng Chang,Ruowei JIANG,Parham Aarabi,Edmund Phung,Irina Kezele,Alex Levinshtein,Wenzhangzhi GUO,Eric ELMOZNINO. Владелец: LOreal SA. Дата публикации: 2024-01-02.

Implementation of a neural network in multicore hardware

Номер патента: US11875248B2. Автор: Fernando Escobar,Xiran Huang. Владелец: Imagination Technologies Ltd. Дата публикации: 2024-01-16.

Implementation of a neural network in multicore hardware

Номер патента: US11853866B2. Автор: Fernando Escobar,Xiran Huang. Владелец: Imagination Technologies Ltd. Дата публикации: 2023-12-26.

Computer-Implemented Method of Training a Computer-Implemented Deep Neural Network and Such a Network

Номер патента: US20220044116A1. Автор: Elahe Arani,Bahram Zonooz,Fahad Sarfraz. Владелец: Navinfo Europe BV. Дата публикации: 2022-02-10.

Coarse-to-fine hand detection method using deep neural network

Номер патента: EP3452955A1. Автор: Zhuang Liu,Dahai Yu,Xilin Chen,Junyang ZHOU,Shiguang Shan,Xiujuan Chai,Zixuan Yang. Владелец: Seetatech (beijing) Technology Co Ltd. Дата публикации: 2019-03-13.

Jointly pruning and quantizing deep neural networks

Номер патента: US20230004813A1. Автор: Georgios GEORGIADIS,Weiran DENG. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2023-01-05.

System and method for domain- and language-independent definition extraction using deep neural networks

Номер патента: US11783179B2. Автор: LIN Zhao,Zhe Feng,Kui Xu,Yifan He. Владелец: ROBERT BOSCH GMBH. Дата публикации: 2023-10-10.

A system and a method for bias estimation in artificial intelligence (ai) models using deep neural network

Номер патента: EP3968239A1. Автор: Sebastian FISCHER,Yuval Elovici,Oleg BRODT,Asaf Shabtai,Ronald Fromm,Amit Hacmon,Edita Grolman. Владелец: DEUTSCHE TELEKOM AG. Дата публикации: 2022-03-16.

Electronic system for data processing by a self-correcting, deep neural network integrated within a memory resource

Номер патента: US11836618B2. Автор: Ananthakrishnan Venkataraman,Vidya Srikanth. Владелец: Bank of America Corp. Дата публикации: 2023-12-05.

Deep neural network accelerator with fine-grained parallelism discovery

Номер патента: US11966835B2. Автор: Joel Emer,Angshuman Parashar,Stephen W. Keckler,Ching-En Lee,Yakun Shao. Владелец: Nvidia Corp. Дата публикации: 2024-04-23.

Automatic generation of images satisfying specified neural network classifier properties

Номер патента: EP3874408A1. Автор: Michael A. Warren,Pape Sylla. Владелец: HRL LABORATORIES LLC. Дата публикации: 2021-09-08.

Classifying images using deep neural network with integrated acquisition information

Номер патента: US11763932B2. Автор: Dana Levanony,Efrat Hexter. Владелец: International Business Machines Corp. Дата публикации: 2023-09-19.

Electronic system for data processing by a self-correcting, deep neural network integrated within a memory resource

Номер патента: US20240054344A1. Автор: Ananthakrishnan Venkataraman,Vidya Srikanth. Владелец: Bank of America Corp. Дата публикации: 2024-02-15.

Neural network image search

Номер патента: US20200104721A1. Автор: Greg Mori,Srikanth MURALIDHARAN,Fred TUNG. Владелец: Scopemedia Inc. Дата публикации: 2020-04-02.

Domain adaptation of deep neural networks

Номер патента: US20210201152A1. Автор: Erick David SANTILLÁN PEREZ,David Kernert. Владелец: SAP SE. Дата публикации: 2021-07-01.

System and method for domain-and language-independent definition extraction using deep neural networks

Номер патента: EP3732590A1. Автор: LIN Zhao,Zhe Feng,Kui Xu,Yifan He. Владелец: ROBERT BOSCH GMBH. Дата публикации: 2020-11-04.

System for local optimization of object detector based on deep neural network and method of creating local database therefor

Номер патента: US20220147773A1. Автор: Kil Taek LIM,Jang Woon Baek,Yun Won Choi,Joon Goo Lee,Byung Gil HAN. Владелец: Electronics and Telecommunications Research Institute ETRI. Дата публикации: 2022-05-12.

Automatic generation of images satisfying specified neural network classifier properties

Номер патента: US11042779B2. Автор: Michael A. Warren,Pape Sylla. Владелец: HRL LABORATORIES LLC. Дата публикации: 2021-06-22.

Method of training a deep neural network to classify data

Номер патента: US20220076129A1. Автор: Hiroya Inakoshi,Theodoros KASIOUMIS. Владелец: Fujitsu Ltd. Дата публикации: 2022-03-10.

Automatic generation of images satisfying specified neural network classifier properties

Номер патента: US20200143200A1. Автор: Michael A. Warren,Pape Sylla. Владелец: HRL LABORATORIES LLC. Дата публикации: 2020-05-07.

Automatic generation of images satisfying specified neural network classifier properties

Номер патента: WO2020091893A8. Автор: Michael A. Warren,Pape Sylla. Владелец: HRL LABORATORIES, LLC. Дата публикации: 2021-05-27.

Automatic generation of images satisfying specified neural network classifier properties

Номер патента: WO2020091893A1. Автор: Michael A. Warren,Pape Sylla. Владелец: HRL LABORATORIES LLC. Дата публикации: 2020-05-07.

Deep neural network based on flash analog flash computing array

Номер патента: US20220318612A1. Автор: Lifeng Liu,Xiaoyan Liu,Peng Huang,Jinfeng Kang,Guihai Yu,Yachen Xiang. Владелец: PEKING UNIVERSITY. Дата публикации: 2022-10-06.

Method and system for reducing deep neural network architectures

Номер патента: WO2019160196A1. Автор: Hongxia Jin,Nina Narodytska,Shiva Prasad Kasiviswanathan. Владелец: SAMSUNG ELECTRONICS CO., LTD.. Дата публикации: 2019-08-22.

Apparatus for generating a signature that reflects the similarity of a malware detection and classification system based on deep neural networks, method therefor, and computer-readable recording medium recorded with a program for performing the method

Номер патента: US20220207141A1. Автор: Won Kyung Lee,Ui Jung CHUNG,Hyeong Jin BYEON. Владелец: Estsecurity Corp. Дата публикации: 2022-06-30.

Method and system for reducing deep neural network architectures

Номер патента: EP3698290A1. Автор: Hongxia Jin,Nina Narodytska,Shiva Prasad Kasiviswanathan. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2020-08-26.

Apparatus for generating a signature that reflects the similarity of a malware detection and classification system based on deep neural networks, method therefor, and computer-readable recording medium recorded with a program for performing the method

Номер патента: US12013938B2. Автор: Won Kyung Lee,Ui Jung CHUNG,Hyeong Jin BYEON. Владелец: Estsecurity Corp. Дата публикации: 2024-06-18.

Systems and methods for generating and using semantic images in deep learning for classification and data extraction

Номер патента: US11776244B2. Автор: Uwe Ast. Владелец: Open Text SA ULC. Дата публикации: 2023-10-03.

Systems and methods for generating and using semantic images in deep learning for classification and data extraction

Номер патента: US20200242348A1. Автор: Uwe Ast. Владелец: Open Text SA ULC. Дата публикации: 2020-07-30.

Systems and methods for generating and using semantic images in deep learning for classification and data extraction

Номер патента: US20230401840A1. Автор: Uwe Ast. Владелец: Open Text SA ULC. Дата публикации: 2023-12-14.

Systems and methods for generating and using semantic images in deep learning for classification and data extraction

Номер патента: US20220139099A1. Автор: Uwe Ast. Владелец: Open Text SA ULC. Дата публикации: 2022-05-05.

Systems and methods for generating and using semantic images in deep learning for classification and data extraction

Номер патента: US20210073533A1. Автор: Uwe Ast. Владелец: Open Text SA ULC. Дата публикации: 2021-03-11.

Apparatus and method for patching embedding table on the fly for new categorical feature in deep learning

Номер патента: WO2024020933A1. Автор: BO Jiang,Zhenhua Wu,Zhiyi Zhu. Владелец: Intel Corporation. Дата публикации: 2024-02-01.

Precision programming circuit for analog neural memory in deep learning artificial neural network

Номер патента: EP3918601B1. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Stephen Trinh. Владелец: Silicon Storage Technology Inc. Дата публикации: 2024-07-03.

Precision programming circuit for analog neural memory in deep learning artificial neural network

Номер патента: EP4401080A2. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stephen Trinh,CA Stanley HONG. Владелец: Silicon Storage Technology Inc. Дата публикации: 2024-07-17.

Precision programming circuit for analog neural memory in deep learning artificial neural network

Номер патента: EP4401080A3. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stephen Trinh,CA Stanley HONG. Владелец: Silicon Storage Technology Inc. Дата публикации: 2024-10-02.

Testing circuitry and methods for analog neural memory in artificial neural network

Номер патента: WO2021015812A1. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Nhan Do,Vipin Tiwari,Stephen Trinh,Steven Lemke,Nha Nguyen. Владелец: Silicon Storage Technology, Inc.. Дата публикации: 2021-01-28.

Testing circuitry and methods for analog neural memory in artificial neural network

Номер патента: EP4000069A1. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Nhan Do,Vipin Tiwari,Stephen Trinh,Steven Lemke,Nha Nguyen. Владелец: Silicon Storage Technology Inc. Дата публикации: 2022-05-25.

Programmable Neuron For Analog Non-Volatile Memory In Deep Learning Artificial Neural Network

Номер патента: US20190205729A1. Автор: Nguyen Kha,Tran Hieu Van,Ly Anh,Vu Thuan,Tran Han,Hong Stanley,Pham Hien. Владелец: . Дата публикации: 2019-07-04.

Precision Programming Circuit For Analog Neural Memory In Deep Learning Artificial Neural Network

Номер патента: US20200242460A1. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Stephen Trinh. Владелец: Silicon Storage Technology Inc. Дата публикации: 2020-07-30.

ALGORITHMS AND CIRCUITRY FOR VERIFYING A VALUE STORED DURING A PROGRAMMING OPERATION OF A NON-VOLATILE MEMORY CELL IN AN ANALOG NEURAL MEMORY IN DEEP LEARNING ARTIFICIAL NEURAL NETWORK

Номер патента: US20200242461A1. Автор: Tran Hieu Van,Ly Anh,Vu Thuan,Trinh Stephen,Hong Stanley. Владелец: . Дата публикации: 2020-07-30.

Redundant memory access for rows or columns containing faulty memory cells in analog neural memory in deep learning artificial neural network

Номер патента: WO2020013934A1. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Kha Nguyen,Hien Pham,Han Tran. Владелец: Silicon Storage Technology, Inc.. Дата публикации: 2020-01-16.

Algorithms and circuitry for verifying a value stored during a programming operation of a non-volatile memory cell in an analog neural memory in deep learning artificial neural network

Номер патента: EP3918602B1. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Stephen Trinh. Владелец: Silicon Storage Technology Inc. Дата публикации: 2023-11-15.

Decoding system and physical layout for analog neural memory in deep learning artificial neural network

Номер патента: WO2020222867A1. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Kha Nguyen,Hien Pham,Han Tran,Stephen Trinh. Владелец: Silicon Storage Technology, Inc.. Дата публикации: 2020-11-05.

Decoding system and physical layout for analog neural memory in deep learning artificial neural network

Номер патента: EP3963512B1. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Kha Nguyen,Hien Pham,Han Tran,Stephen Trinh. Владелец: Silicon Storage Technology Inc. Дата публикации: 2023-08-30.

Programmable neuron for analog non-volatile memory in deep learning artificial neural network

Номер патента: EP3735656A4. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Kha Nguyen,Hien Pham,Han Tran. Владелец: Silicon Storage Technology Inc. Дата публикации: 2021-10-13.

Programmable neuron for analog non-volatile memory in deep learning artificial neural network

Номер патента: EP3735656B1. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Kha Nguyen,Hien Pham,Han Tran. Владелец: Silicon Storage Technology Inc. Дата публикации: 2023-12-27.

Compensation for reference transistors and memory cells in analog neuro memory in deep learning artificial neural network

Номер патента: EP3821375B1. Автор: Hieu Van Tran,Nhan Do,Vipin Tiwari. Владелец: Silicon Storage Technology Inc. Дата публикации: 2022-11-09.

Decoding system and physical layout for analog neural memory in deep learning artificial neural network

Номер патента: EP3963512A1. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Kha Nguyen,Hien Pham,Han Tran,Stephen Trinh. Владелец: Silicon Storage Technology Inc. Дата публикации: 2022-03-09.

Private inference in deep neural network

Номер патента: EP4182851A1. Автор: NISHANT Kumar,Rahul Sharma,Divya Gupta,Aseem Rastogi,Nishanth Chandran,Mayank RATHEE,Deevashwer RATHEE. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2023-05-24.

Private inference in deep neural network

Номер патента: WO2022015403A1. Автор: NISHANT Kumar,Rahul Sharma,Divya Gupta,Aseem Rastogi,Nishanth Chandran,Mayank RATHEE,Deevashwer RATHEE. Владелец: Microsoft Technology Licensing, LLC. Дата публикации: 2022-01-20.

Low-power edge computing with optical neural networks via wdm weight broadcasting

Номер патента: EP4222892A2. Автор: Dirk Robert Englund,Ryan HAMERLY. Владелец: Massachusetts Institute of Technology. Дата публикации: 2023-08-09.

Multiplier-Less Sparse Deep Neural Network

Номер патента: US20230081531A1. Автор: Toshiaki Koike Akino. Владелец: Mitsubishi Electric Research Laboratories Inc. Дата публикации: 2023-03-16.

Low-power edge computing with optical neural networks via wdm weight broadcasting

Номер патента: WO2022086615A3. Автор: Dirk Robert Englund,Ryan HAMERLY. Владелец: Massachusetts Institute of Technology. Дата публикации: 2022-06-30.

Low-Power Edge Computing with Optical Neural Networks via WDM Weight Broadcasting

Номер патента: US20230274156A1. Автор: Dirk Robert Englund,Ryan HAMERLY. Владелец: Ntt Research Inc. Дата публикации: 2023-08-31.

Low-power edge computing with optical neural networks via wdm weight broadcasting

Номер патента: WO2022086615A2. Автор: Dirk Robert Englund,Ryan HAMERLY. Владелец: Massachusetts Institute of Technology. Дата публикации: 2022-04-28.

Photonic-electronic deep neural networks

Номер патента: EP4185923A1. Автор: Firooz Aflatouni,Farshid ASHTIANI. Владелец: University of Pennsylvania Penn. Дата публикации: 2023-05-31.

Method and system for a temperature-resilient neural network training model

Номер патента: US20240095528A1. Автор: LI YANG,Jian Meng,Jae-sun Seo,Deliang Fan. Владелец: Arizona State University ASU. Дата публикации: 2024-03-21.

Diffractive deep neural networks with hardware-software co-design

Номер патента: US20230359879A1. Автор: Weilu Gao,Cunxi Yu. Владелец: University of Utah Research Foundation UURF. Дата публикации: 2023-11-09.

Neural network device, detection method, and program

Номер патента: EP4425381A1. Автор: Susumu Takatsuka,Kenta Endo. Владелец: Sony Group Corp. Дата публикации: 2024-09-04.

An analogue electronic deep neural network

Номер патента: EP3208750A1. Автор: Daniel Neil,Jonathan Binas. Владелец: Universitaet Zuerich. Дата публикации: 2017-08-23.

Photonic-electronic deep neural networks

Номер патента: US20230316061A1. Автор: Firooz Aflatouni,Farshid ASHTIANI. Владелец: University of Pennsylvania Penn. Дата публикации: 2023-10-05.

Static random-access memory for deep neural networks

Номер патента: US20190087719A1. Автор: Jae-sun Seo,Mingoo Seok,Zhewei Jiang,Shihui Yin. Владелец: Arizona State University ASU. Дата публикации: 2019-03-21.

Static random-access memory for deep neural networks

Номер патента: US20220309330A1. Автор: Jae-sun Seo,Mingoo Seok,Zhewei Jiang,Shihui Yin. Владелец: Arizona State University ASU. Дата публикации: 2022-09-29.

Methods and apparatus for training optical deep diffractive neural networks

Номер патента: WO2020113240A3. Автор: XIANG Liu,Jin Yang,Ning Cheng,Yongxi Tan,Yimeng Li,Huaxia WANG. Владелец: Futurewei Technologies, Inc.. Дата публикации: 2020-10-01.

Photonic accelerator for deep neural networks

Номер патента: US20240127040A1. Автор: Kyle Shiflett,Avinash Karanth. Владелец: OHIO UNIVERSITY. Дата публикации: 2024-04-18.

Trustworthy predictions using deep neural networks based on adversarial calibration

Номер патента: US11455531B2. Автор: Florian Büttner,Christian Tomani. Владелец: SIEMENS AG. Дата публикации: 2022-09-27.

Radio-Frequency Photonic Architecture for Deep Neural Networks, Signal Processing, and Computing

Номер патента: US20230281437A1. Автор: Dirk Robert Englund,Ronald A. Davis. Владелец: Massachusetts Institute of Technology. Дата публикации: 2023-09-07.

Diffractive deep neural networks with differential and class-specific detection

Номер патента: WO2020247828A1. Автор: YI LUO,Aydogan Ozcan,Jingxi LI,Yair Rivenson,Deniz Mengu. Владелец: The Regents of the University of California. Дата публикации: 2020-12-10.

Stereo depth estimation using deep neural networks

Номер патента: US12039436B2. Автор: Nikolai Smolyanskiy,Alexey Kamenev,Stan Birchfield. Владелец: Nvidia Corp. Дата публикации: 2024-07-16.

Deep neural network (DNN)-based multi-target constant false alarm rate (CFAR) detection methods

Номер патента: US12044799B2. Автор: Zhiwei Xu,Yuying SONG,Chunyi Song,Zhihui Cao,Fuyuan AI,Jingxuan WU. Владелец: Donghai Laboratory. Дата публикации: 2024-07-23.

Dynamic sequencing of data partitions for optimizing memory utilization and performance of neural networks

Номер патента: EP3612937A1. Автор: Boris Bobrov,Amol Ashok AMBARDEKAR,Kent D. Cedola,Chad Balling Mcbride,George Petre,Larry Marvin Wall. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2020-02-26.

Methods and systems for converting weights of a deep neural network from a first number format to a second number format

Номер патента: EP3792838A3. Автор: Muhammad Asad,Stephen Morphet,Cagatay Dikici,Paul Brasnett. Владелец: Imagination Technologies Ltd. Дата публикации: 2021-04-21.

Deep neural network (dnn)-based multi-target constant false alarm rate (cfar) detection methods

Номер патента: US20240004032A1. Автор: Zhiwei Xu,Yuying SONG,Chunyi Song,Zhihui Cao,Fuyuan AI,Jingxuan WU. Владелец: Donghai Laboratory. Дата публикации: 2024-01-04.

Stereo depth estimation using deep neural networks

Номер патента: WO2019182974A3. Автор: Nikolai Smolyanskiy,Alexey Kamenev,Stan Birchfield. Владелец: NVIDIA CORPORATION. Дата публикации: 2019-12-05.

Neural network processor using compression and decompression of activation data to reduce memory bandwidth utilization

Номер патента: MY201868A. Автор: PETRE George,BOBROV Boris,Leon Corkery Joseph,Eliot Lundell Benjamin,Marvin Wall Larry,Balling Mcbride Chad,Ashok Ambardekar Amol,D Cedola Kent. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2024-03-21.

Stereo depth estimation using deep neural networks

Номер патента: US20230169321A1. Автор: Nikolai Smolyanskiy,Alexey Kamenev,Stan Birchfield. Владелец: Nvidia Corp. Дата публикации: 2023-06-01.

Stereo depth estimation using deep neural networks

Номер патента: US20210326678A1. Автор: Nikolai Smolyanskiy,Alexey Kamenev,Stan Birchfield. Владелец: Nvidia Corp. Дата публикации: 2021-10-21.

Deep neural network for iris identification

Номер патента: KR20190028749A. Автор: 알렉세이 스피제보이,아드리안 케흘러,개리 브래드스키. Владелец: 매직 립, 인코포레이티드. Дата публикации: 2019-03-19.

Neural network processor using compression and decompression of activation data to reduce memory bandwidth utilization

Номер патента: US11909422B2. Автор: Boris Bobrov,Amol Ashok AMBARDEKAR,Kent D. Cedola,Joseph Leon CORKERY,Benjamin Eliot LUNDELL,Chad Balling Mcbride,George Petre,Larry Marvin Wall. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2024-02-20.

System, method, and apparatus for a neural network model for a vehicle

Номер патента: US11899748B2. Автор: Nikhil George,Pratik Prabhanjan Brahma,Nasim Souly. Владелец: Dr Ing HCF Porsche AG. Дата публикации: 2024-02-13.

Image sensor with integrated efficient multiresolution hierarchical deep neural network (DNN)

Номер патента: US11989888B2. Автор: Ping Wah Wong,Kevin Chan,Sa Xiao. Владелец: Sony Semiconductor Solutions Corp. Дата публикации: 2024-05-21.

Non-uniform quantization for flexible power-of-two computations in neural networks

Номер патента: US20240112020A1. Автор: Fan Zhang,Seyhan Karakulak. Владелец: SK hynix Inc. Дата публикации: 2024-04-04.

Methods and systems for converting weights of a deep neural network from a first number format to a second number format

Номер патента: GB2581546A. Автор: Brasnett Paul,Morphet Stephen,Dikici Cagatay,Asad Muhammad. Владелец: Imagination Technologies Ltd. Дата публикации: 2020-08-26.

Methods and systems for converting weights of a deep neural network from a first number format to a second number format

Номер патента: EP3792838A2. Автор: Muhammad Asad,Stephen Morphet,Cagatay Dikici,Paul Brasnett. Владелец: Imagination Technologies Ltd. Дата публикации: 2021-03-17.

Methods and systems for converting weights of a deep neural network from a first number format to a second number format

Номер патента: US20220067497A1. Автор: Muhammad Asad,Stephen Morphet,Cagatay Dikici,Paul Brasnett. Владелец: Imagination Technologies Ltd. Дата публикации: 2022-03-03.

Computationally efficient multi-class image recognition using successive analysis of neural network features

Номер патента: RU2706960C1. Автор: Андрей Владимирович Савченко. Владелец: САМСУНГ ЭЛЕКТРОНИКС КО., ЛТД.. Дата публикации: 2019-11-22.

Deep neural network (dnn) compute loading and traffic-aware power management for multi-core artificial intelligence (ai) processing system

Номер патента: US20240028881A1. Автор: Chih-Chung Cheng,En-Jui CHANG. Владелец: MediaTek Inc. Дата публикации: 2024-01-25.

Deep neural network (dnn) compute loading and traffic-aware power management for multi-core artificial intelligence (ai) processing system

Номер патента: US20240028386A1. Автор: Chih-Chung Cheng,En-Jui CHANG. Владелец: MediaTek Inc. Дата публикации: 2024-01-25.

Method and system for anatomical object detection using marginal space deep neural networks

Номер патента: US09730643B2. Автор: Bogdan Georgescu,Dorin Comaniciu,Hien Nguyen,David Liu,Yefeng Zheng,Vivek Kumar Singh. Владелец: Siemens Healthcare GmbH. Дата публикации: 2017-08-15.

Electronic device for recognition of mental behavioral attributes based on deep neural networks

Номер патента: US11141088B2. Автор: Ming-Chang Liu,Ahmad Khodayari-Rostamabad. Владелец: Sony Corp. Дата публикации: 2021-10-12.

Devices and methods employing optical-based machine learning using diffractive deep neural networks

Номер патента: US12086717B2. Автор: Xing Lin,YI LUO,Aydogan Ozcan,Yair Rivenson,Deniz Mengu. Владелец: UNIVERSITY OF CALIFORNIA. Дата публикации: 2024-09-10.

Implementation of deep neural networks for testing and quality control in the production of memory devices

Номер патента: US20240202425A1. Автор: Cheng-Chung Chu,Ashish Ghai,Janet George,Daniel J. Linnen. Владелец: SanDisk Technologies LLC. Дата публикации: 2024-06-20.

Audio-spectral-masking-deep-neural-network crowd search

Номер патента: US20210295828A1. Автор: Jeb R. Linton,Jonathan Samn,Poojitha Bikki,Minsik Lee. Владелец: International Business Machines Corp. Дата публикации: 2021-09-23.

Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications

Номер патента: US20240061075A1. Автор: David Nister,Shane Murray,Sangmin Oh,Nikolai Smolyanskiy,Tilman WEKEL,Ruchi Bhargava,Joachim Pehserl,Ryan Oldja,Alexander Popov. Владелец: Nvidia Corp. Дата публикации: 2024-02-22.

Methods and systems to configure and use neural networks in characterizing physiological systems

Номер патента: EP3903324A1. Автор: Shyamlal Ramchandani,Ian Shadforth,Timothy William Fawcett Burton,William Sanders,Ali KHOSOUSI,Horace Gillins. Владелец: Analytics 4 Life Inc. Дата публикации: 2021-11-03.

Methods and systems to configure and use neural networks in characterizing physiological systems

Номер патента: US20230289595A1. Автор: Shyamlal Ramchandani,Ian Shadforth,Timothy William Fawcett Burton,William Sanders,Ali KHOSOUSI,Horace R. Gillins. Владелец: Analytics 4 Life Inc. Дата публикации: 2023-09-14.

Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications

Номер патента: US11885907B2. Автор: David Nister,Shane Murray,Sangmin Oh,Nikolai Smolyanskiy,Tilman WEKEL,Ruchi Bhargava,Joachim Pehserl,Ryan Oldja,Alexander Popov. Владелец: Nvidia Corp. Дата публикации: 2024-01-30.

Methods and systems to configure and use neural networks in characterizing physiological systems

Номер патента: US11989652B2. Автор: Shyamlal Ramchandani,Ian Shadforth,Timothy William Fawcett Burton,William Sanders,Ali KHOSOUSI,Horace R. Gillins. Владелец: Analytics 4 Life Inc. Дата публикации: 2024-05-21.

Methods and apparatus for electromagnetic source imaging using deep neural networks

Номер патента: US12016634B2. Автор: Bin He,Rui Sun,Abbas Sohrabpour. Владелец: CARNEGIE MELLON UNIVERSITY. Дата публикации: 2024-06-25.

Devices and methods employing optical-based machine learning using diffractive deep neural networks

Номер патента: US20220366253A1. Автор: Xing Lin,YI LUO,Aydogan Ozcan,Yair Rivenson,Deniz Mengu. Владелец: UNIVERSITY OF CALIFORNIA. Дата публикации: 2022-11-17.

Devices and methods employing optical-based machine learning using diffractive deep neural networks

Номер патента: US20230401447A1. Автор: Xing Lin,YI LUO,Aydogan Ozcan,Yair Rivenson,Deniz Mengu. Владелец: UNIVERSITY OF CALIFORNIA. Дата публикации: 2023-12-14.

Multi-Tier Network for Task-Oriented Deep Neural Network

Номер патента: US20200082174A1. Автор: Francois Charette,Jose Solomon. Владелец: FORD GLOBAL TECHNOLOGIES LLC. Дата публикации: 2020-03-12.

Deep neural networks for predicting post-operative outcomes

Номер патента: US20240212857A1. Автор: David Ouyang,John Theurer. Владелец: Cedars Sinai Medical Center. Дата публикации: 2024-06-27.

Personalized face biometric key generation method based on deep neural network coding

Номер патента: US12056957B1. Автор: Zhendong Wu,Yanhua Huang. Владелец: Hangzhou Dianzi University. Дата публикации: 2024-08-06.

Systems and methods for multi-fidelity data aggregation using convolutional neural networks

Номер патента: US20230342414A1. Автор: Yongming Liu. Владелец: Arizona State University ASU. Дата публикации: 2023-10-26.

Deep neural network-based sequencing

Номер патента: US12119088B2. Автор: Anindita Dutta,Dorna KASHEFHAGHIGHI,Kishore Jaganathan,Amirali Kia,John Randall GOBBEL. Владелец: Illumina Inc. Дата публикации: 2024-10-15.

System and method for non-parametric optimal read threshold estimation using deep neural network

Номер патента: US11854629B2. Автор: Fan Zhang,Aman BHATIA,Haobo Wang. Владелец: SK hynix Inc. Дата публикации: 2023-12-26.

Implementation of deep neural networks for testing and quality control in the production of memory devices

Номер патента: US11947890B2. Автор: Cheng-Chung Chu,Ashish Ghai,Janet George,Daniel J. Linnen. Владелец: SanDisk Technologies LLC. Дата публикации: 2024-04-02.

Training a deep neural network model to generate rich object-centric embeddings of robotic vision data

Номер патента: US11887363B2. Автор: Yunfei Bai,Seyed Mohammad Khansari Zadeh,Pierre SERMANET,Soeren PIRK,Harrison LYNCH. Владелец: Google LLC. Дата публикации: 2024-01-30.

Variational dropout with smoothness regularization for neural network model compression

Номер патента: US11811429B2. Автор: Wei Wang,Wei Jiang,Shan Liu. Владелец: Tencent America LLC. Дата публикации: 2023-11-07.

Apparatus and method for image analysis using virtual three-dimensional deep neural network

Номер патента: US20210103716A1. Автор: Tae Won Kim,Dongmin Kim,Shin Uk Kang,Myung Jae Lee,Jonghwan Back,Jisoo Son,Dong-eog Kim. Владелец: JLK INSPECTION. Дата публикации: 2021-04-08.

Deep neural network pre-training method for classifying electrocardiogram (ecg) data

Номер патента: US20220084679A1. Автор: Woong BAE,Youngjae Song,Byeongtak Lee,Oyeon KWON. Владелец: Vuno Inc. Дата публикации: 2022-03-17.

Vehicle neural network

Номер патента: US20210064047A1. Автор: Francois Charette,Jose Enrique Solomon. Владелец: FORD GLOBAL TECHNOLOGIES LLC. Дата публикации: 2021-03-04.

Multi-view deep neural network for lidar perception

Номер патента: EP3832532A3. Автор: David Nister,Ke Chen,Ibrahim Eden,Nikolai Smolyanskiy,Tilman WEKEL,Ruchi Bhargava,David Wehr,Joachim Pehserl,Ryan Oldja,Alexander Popov. Владелец: Nvidia Corp. Дата публикации: 2021-08-18.

Deep neural network training

Номер патента: EP4320558A1. Автор: Tayfun Gokmen. Владелец: International Business Machines Corp. Дата публикации: 2024-02-14.

Memory for performing deep neural network operation and operating method thereof

Номер патента: US20220019881A1. Автор: Tay-Jyi Lin,Yi-Hsuan TING,Hao-Hsuan Shen. Владелец: Winbond Electronics Corp. Дата публикации: 2022-01-20.

Deep neural network training

Номер патента: WO2022214309A1. Автор: Tayfun Gokmen. Владелец: Ibm United Kingdom Limited. Дата публикации: 2022-10-13.

System and method for f0 transfer learning for improving f0 prediction with deep neural network models

Номер патента: US20190392815A1. Автор: Aravind GANAPATHIRAJU,Elluru Veera Raghavendra. Владелец: Bank of America NA. Дата публикации: 2019-12-26.

Testing circuitry and methods for analog neural memory in artificial neural network

Номер патента: EP4414987A2. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Nhan Do,Vipin Tiwari,Stephen Trinh,Steven Lemke,Nha Nguyen. Владелец: Silicon Storage Technology Inc. Дата публикации: 2024-08-14.

Testing circuitry and methods for analog neural memory in artificial neural network

Номер патента: EP4414987A3. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Nhan Do,Vipin Tiwari,Stephen Trinh,Steven Lemke,Nha Nguyen. Владелец: Silicon Storage Technology Inc. Дата публикации: 2024-10-30.

ADJUSTABLE CURRENT SINK TO DRAW COMPENSATION CURRENT FROM HIGH VOLTAGE GENERATION CIRCUITRY DURING PROGRAMMING OPERATION OF ANALOG NEURAL MEMORY IN DEEP LEARNING ARTIFICIAL NEURAL NETWORK

Номер патента: US20200051635A1. Автор: Tran Hieu Van,Ly Anh,Vu Thuan,Do Nhan,Hong Stanley,Tiwari Vipin. Владелец: . Дата публикации: 2020-02-13.

Current compensation block and method for programming analog neural memory in deep learning artificial neural network

Номер патента: US20200051636A1. Автор: Hieu Van Tran,Anh Ly,Thuan Vu,Stanley Hong,Nhan Do,Vipin Tiwari. Владелец: Silicon Storage Technology Inc. Дата публикации: 2020-02-13.

Dynamic Modification Of Programming Duration Based On Number Of Cells To Be Programmed In Analog Neural Memory Array In Deep Learning Artificial Neural Network

Номер патента: US20200058356A1. Автор: Tran Hieu Van,Ly Anh,Vu Thuan,Do Nhan,Hong Stanley,Tiwari Vipin. Владелец: . Дата публикации: 2020-02-20.

PROGRAMMING ANALOG NEURAL MEMORY CELLS IN DEEP LEARNING ARTIFICIAL NEURAL NETWORK

Номер патента: US20210257026A1. Автор: Tran Hieu Van,Ly Anh,Vu Thuan,Do Nhan,Hong Stanley,Tiwari Vipin. Владелец: . Дата публикации: 2021-08-19.

METHOD AND APPARATUS FOR HIGH VOLTAGE GENERATION FOR ANALOG NEURAL MEMORY IN DEEP LEARNING ARTIFICIAL NEURAL NETWORK

Номер патента: US20190341110A1. Автор: Tran Hieu Van,Ly Anh,Vu Thuan,Do Nhan,Hong Staniey,Tlwarl Vlpln. Владелец: . Дата публикации: 2019-11-07.

Method and apparatus for high voltage generation for analog neural memory in deep learning artificial neural network

Номер патента: TWI787099B. Автор: 曉萬陳,順武,史丹利洪,英李,恩漢杜,維平蒂瓦里. Владелец: 美商超捷公司. Дата публикации: 2022-12-11.

Method and Apparatus for High Voltage Generation for Analog Neural Memory in Deep Learning Artificial Neural Network

Номер патента: KR20200138810A. Автор: 안 리,투안 뷰,스탠리 홍,난 도,휴 반 트란,비핀 트와리. Владелец: 실리콘 스토리지 테크놀로지 인크. Дата публикации: 2020-12-10.

Precision Tuning for Programming of Analog Neural Memory in Deep Learning Artificial Neural Networks

Номер патента: KR102361803B1. Автор: 휴 반 트랜,난 도,스티븐 렘케,비핀 티와리,마크 리튼. Владелец: 실리콘 스토리지 테크놀로지 인크. Дата публикации: 2022-02-15.

Exploiting heterogeneous data in deep neural network-based speech recognition systems

Номер патента: US09454958B2. Автор: Dong Yu,Yifan Gong,Jinyu Li. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2016-09-27.

Restructuring deep neural network acoustic models

Номер патента: US09728184B2. Автор: Yifan Gong,Jinyu Li,Jian Xue,Emilian Stoimenov. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2017-08-08.

Neural network acceleration and embedding compression systems and methods with activation sparsification

Номер патента: AU2019288674B2. Автор: Wei Wang,Enxu Yan. Владелец: Moffett International Co Ltd. Дата публикации: 2024-02-15.

Neural network acceleration and embedding compression systems and methods with activation sparsification

Номер патента: WO2019246491A1. Автор: Wei Wang,Enxu Yan. Владелец: Moffett AI, Inc.. Дата публикации: 2019-12-26.

Deep neural networks with interpretability

Номер патента: US11816564B1. Автор: Irshad Mohammed. Владелец: Pattern Computer Inc. Дата публикации: 2023-11-14.

Neural network acceleration and embedding compression systems and methods with activation sparsification

Номер патента: CA3104646A1. Автор: Wei Wang,Enxu Yan. Владелец: Moffett Ai Inc. Дата публикации: 2019-12-26.

Neural network acceleration and embedding compression systems and methods with activation sparsification

Номер патента: EP3811297A1. Автор: Wei Wang,Enxu Yan. Владелец: Moffett Ai Inc. Дата публикации: 2021-04-28.

Neural network acceleration and embedding compression systems and methods with activation sparsification

Номер патента: CA3104646C. Автор: Wei Wang,Enxu Yan. Владелец: Moffett Ai Inc. Дата публикации: 2023-07-04.

Neural network acceleration and embedding compression systems and methods with activation sparsification

Номер патента: AU2019288674A1. Автор: Wei Wang,Enxu Yan. Владелец: Moffett International Co Ltd. Дата публикации: 2021-02-18.

End-to-end speaker recognition using deep neural network

Номер патента: US20190392842A1. Автор: Matthew Garland,Elie Khoury. Владелец: Pindrop Security Inc. Дата публикации: 2019-12-26.

End-to-end speaker recognition using deep neural network

Номер патента: US20240249728A1. Автор: Matthew Garland,Elie Khoury. Владелец: Pindrop Security Inc. Дата публикации: 2024-07-25.

Image encoding method and apparatus and image decoding method and apparatus using deep neural networks

Номер патента: US12132931B2. Автор: JongSeok Lee,Yumi SOHN,Youngo PARK,Pilkyu PARK. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2024-10-29.

End-to-end speaker recognition using deep neural network

Номер патента: US09824692B1. Автор: Matthew Garland,Elie Khoury. Владелец: Pindrop Security Inc. Дата публикации: 2017-11-21.

Systems and methods for anomaly recognition and detection using lifelong deep neural networks

Номер патента: EP4088233A1. Автор: Massimiliano Versace,Santiago OLIVERA,Carl Palme,Carly Franca,Graham Voysey,Vesa Tormanen,Alireza Majidi,Yiannis Papadopoulos. Владелец: Neurala Inc. Дата публикации: 2022-11-16.

Image processing method and image processing device based on neural network

Номер патента: US20240233092A1. Автор: Youjin Lee,Taeyoung Jang,Yongsup Park,Beomseok Kim,Kwangpyo CHOI,Youngo PARK,Gyehyun Kim,Sangmi LEE. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2024-07-11.

Automated construction of neural network architecture with Bayesian graph exploration

Номер патента: US12061985B2. Автор: Toshiaki Koike-Akino,Ye Wang,Deniz Erdogmus,Andac DEMIR. Владелец: Mitsubishi Electric Research Laboratories Inc. Дата публикации: 2024-08-13.

System and method for robust neural networking via noise injection

Номер патента: US20230078473A1. Автор: LI YANG,Yu Cao,Jae-sun Seo,Jingtao Li,Deliang Fan,Chaitali Chakrabarti,Adnan Siraj Rakin. Владелец: Arizona State University ASU. Дата публикации: 2023-03-16.

Deep neural networks training for speech and pattern recognition

Номер патента: US09477925B2. Автор: Xie Chen,Dong Yu,Gang Li,Frank Torsten Bernd Seide,Adam C. Eversole. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2016-10-25.

Deep neural network with compound node functioning as a detector and rejecter

Номер патента: US11790235B2. Автор: James K. Baker. Владелец: D5AI LLC. Дата публикации: 2023-10-17.

Graph neural network model for neural network scheduling decisions

Номер патента: US20240127031A1. Автор: Ian Hunter,Alessandro Palla,Hamza Yous. Владелец: Intel Corp. Дата публикации: 2024-04-18.

Phylogenetic replay learning in deep neural networks

Номер патента: US20220335301A1. Автор: Jean-Patrice Glafkides,Yevgeniy I. SHER. Владелец: Datavaloris Sas. Дата публикации: 2022-10-20.

Semantic coherence analysis of deep neural networks

Номер патента: US11816565B2. Автор: Moussa DOUMBOUYA,Xavier Suau Cuadros,Luca Zappella,Nicholas E. Apostoloff. Владелец: Apple Inc. Дата публикации: 2023-11-14.

Discriminative pretraining of deep neural networks

Номер патента: US20160026914A1. Автор: Dong Yu,Gang Li,Li Deng,Frank Torsten Bernd Seide. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2016-01-28.

Bank-balanced-sparse activation feature maps for neural network models

Номер патента: WO2022072152A1. Автор: Enxu Yan,Jiachao LIU,Dongkuan Xu. Владелец: Moffett Technologies Co., Limited. Дата публикации: 2022-04-07.

Forecasting routines utilizing a mixer to combine deep neural network (DNN) forecasts of multi-variate time-series datasets

Номер патента: US11704539B2. Автор: Todd Morris,Petar Djukic,Maryam AMIRI. Владелец: Ciena Corp. Дата публикации: 2023-07-18.

Bank-balanced-sparse activation feature maps for neural network models

Номер патента: EP4222652A1. Автор: Enxu Yan,Jiachao LIU,Dongkuan Xu. Владелец: Moffett International Co Ltd. Дата публикации: 2023-08-09.

Defensive method against interpretability camouflage samples in deep recognition neural networks

Номер патента: LU505793B1. Автор: Ming Kang,Xiangxing Tao. Владелец: Univ Zhejiang Sience & Technology. Дата публикации: 2024-06-14.

Multichannel microphone-based reverberation time estimation method and device which use deep neural network

Номер патента: US10854218B2. Автор: Joon-Hyuk Chang,Myung In LEE. Владелец: Industry University Cooperation Foundation IUCF HYU. Дата публикации: 2020-12-01.

Out-of-distribution detection using autoencoder appended to neural network

Номер патента: US20240346293A1. Автор: Omesh Tickoo,Ibrahima Ndiour,Ergin Genc,Nilesh Ahuja. Владелец: Individual. Дата публикации: 2024-10-17.

End-to-end speaker recognition using deep neural network

Номер патента: AU2021286422B2. Автор: Matthew Garland,Elie Khoury. Владелец: Pindrop Security Inc. Дата публикации: 2023-08-10.

End-to-end speaker recognition using deep neural network

Номер патента: CA3075049C. Автор: Matthew Garland,Elie Khoury. Владелец: Pindrop Security Inc. Дата публикации: 2020-12-01.

End-to-end speaker recognition using deep neural network

Номер патента: CA3036533C. Автор: Matthew Garland,Elie Khoury. Владелец: Pindrop Security Inc. Дата публикации: 2020-04-21.

End-to-end speaker recognition using deep neural network

Номер патента: AU2017322591B2. Автор: Matthew Garland,Elie Khoury. Владелец: Pindrop Security Inc. Дата публикации: 2021-10-21.

Rank selection in tensor decomposition based on reinforcement learning for deep neural networks

Номер патента: US20210241094A1. Автор: Zhiyu Cheng,Baopu Li,Yingze Bao,Yanwen FAN. Владелец: Baidu com Times Technology Beijing Co Ltd. Дата публикации: 2021-08-05.

No-reference visual media quality assessment combining deep neural networks and models of human visual system and video content/distortion analysis

Номер патента: CA3165972A1. Автор: Zhou Wang,Kai Zeng,Ahmed BADR,Hojatollah Yeganeh,Jiheng WANG,Kaiwen Ye. Владелец: Ssimwave Inc. Дата публикации: 2021-08-05.

No-reference visual media quality assessment combining deep neural networks and models of human visual system and video content/distortion analysis

Номер патента: EP4097971A1. Автор: Zhou Wang,Kai Zeng,Ahmed BADR,Hojatollah Yeganeh,Jiheng WANG,Kaiwen Ye. Владелец: Ssimwave Inc. Дата публикации: 2022-12-07.

Interactive image matting using neural networks

Номер патента: US11880977B2. Автор: NING Xu,Scott Cohen,Brian Lynn Price,Marco Forte. Владелец: Adobe Inc. Дата публикации: 2024-01-23.

End-to-end speaker recognition using deep neural network

Номер патента: EP3501025A1. Автор: Matthew Garland,Elie Khoury. Владелец: Pindrop Security Inc. Дата публикации: 2019-06-26.

End-to-end speaker recognition using deep neural network

Номер патента: CA3075049A1. Автор: Matthew Garland,Elie Khoury. Владелец: Pindrop Security Inc. Дата публикации: 2018-03-15.

End-to-end speaker recognition using deep neural network

Номер патента: AU2021286422A1. Автор: Matthew Garland,Elie Khoury. Владелец: Pindrop Security Inc. Дата публикации: 2022-01-20.

End-to-end speaker recognition using deep neural network

Номер патента: AU2023263421A1. Автор: KHOURY Elie,GARLAND Matthew. Владелец: Pindrop Security Inc. Дата публикации: 2023-11-23.

End-to-end speaker recognition using deep neural network

Номер патента: CA3096378A1. Автор: Matthew Garland,Elie Khoury. Владелец: Pindrop Security Inc. Дата публикации: 2018-03-15.

End-to-end speaker recognition using deep neural network

Номер патента: US20230037232A1. Автор: Matthew Garland,Elie Khoury. Владелец: Pindrop Security Inc. Дата публикации: 2023-02-02.

End-to-end speaker recognition using deep neural network

Номер патента: US10381009B2. Автор: Matthew Garland,Elie Khoury. Владелец: Pindrop Security Inc. Дата публикации: 2019-08-13.

Low-footprint adaptation and personalization for a deep neural network

Номер патента: WO2015134294A1. Автор: Dong Yu,Yifan Gong,Jinyu Li,Jian Xue,Michael L. Seltzer. Владелец: Microsoft Technology Licensing, LLC. Дата публикации: 2015-09-11.

Low-footprint adaptation and personalization for a deep neural network

Номер патента: EP3114680A1. Автор: Dong Yu,Yifan Gong,Jinyu Li,Jian Xue,Michael L. Seltzer. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2017-01-11.

Automated construction of neural network architecture with bayesian graph exploration

Номер патента: WO2022004057A1. Автор: Ye Wang,Toshiaki Akino,Deniz Erdogmus,Andac DEMIR. Владелец: Mitsubishi Electric Corporation. Дата публикации: 2022-01-06.

Automated construction of neural network architecture with bayesian graph exploration

Номер патента: EP3980942A1. Автор: Ye Wang,Toshiaki Akino,Deniz Erdogmus,Andac DEMIR. Владелец: Mitsubishi Electric Corp. Дата публикации: 2022-04-13.

Method and apparatus with deep neural network model fusing

Номер патента: US20210150367A1. Автор: Byung In Yoo,Youngjun KWAK,Youngsung KIM,Hana Lee,Yong-il Lee,Sangil Jung. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2021-05-20.

Event-based processing using the output of a deep neural network

Номер патента: EP3830762A1. Автор: Madhu Sudan ATHREYA,M. Anthony Lewis. Владелец: Hewlett Packard Development Co LP. Дата публикации: 2021-06-09.

Convolution-hierarchical deep- learning neural network (c-hidenn) for fast and accurate pde solver and trainer and applications of same

Номер патента: WO2024059324A1. Автор: YE Lu,Sourav Saha,Xiaoyu Xie,Wing Kam Liu,Hengyang Li,Satyajit MOJUMDER,Chanwook PARK. Владелец: Northwestern University. Дата публикации: 2024-03-21.

Multiobjective coevolution of deep neural network architectures

Номер патента: CA3215345A1. Автор: Risto Miikkulainen,Jason Zhi Liang,Elliott MEYERSON. Владелец: Cognizant Technology Solutions US Corp. Дата публикации: 2020-05-07.

Method and apparatus for deep neural networks having ability for adversarial detection

Номер патента: WO2022178815A1. Автор: HANG Su,Jun Zhu,Ze Cheng,Zhijie Deng. Владелец: ROBERT BOSCH GMBH. Дата публикации: 2022-09-01.

Multi-sample dropout for faster deep neural network training

Номер патента: US20210150331A1. Автор: Hiroshi Inoue. Владелец: International Business Machines Corp. Дата публикации: 2021-05-20.

Method and apparatus for deep neural networks having ability for adversarial detection

Номер патента: US20240086716A1. Автор: HANG Su,Jun Zhu,Ze Cheng,Zhijie Deng. Владелец: ROBERT BOSCH GMBH. Дата публикации: 2024-03-14.

Conservatively adapting a deep neural network in a recognition system

Номер патента: EP2965268A2. Автор: Dong Yu,Gang Li,HANG Su,Kaisheng Yao,Frank Seide. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2016-01-13.

Conservatively adapting a deep neural network in a recognition system

Номер патента: WO2014137952A2. Автор: Dong Yu,Gang Li,HANG Su,Kaisheng Yao,Frank Seide. Владелец: MICROSOFT CORPORATION. Дата публикации: 2014-09-12.

Conservatively adapting a deep neural network in a recognition system

Номер патента: WO2014137952A3. Автор: Dong Yu,Gang Li,HANG Su,Kaisheng Yao,Frank Seide. Владелец: MICROSOFT CORPORATION. Дата публикации: 2015-02-05.

Incorporating top-down information in deep neural networks via the bias term

Номер патента: EP3289527A1. Автор: Regan Blythe TOWAL. Владелец: Qualcomm Inc. Дата публикации: 2018-03-07.

System and method for reconstruction of compressed signal data using artificial neural networking

Номер патента: US20220108466A1. Автор: David Mendlovic,Raja GIRYES,Ofir NABATI,Ido YOVEL. Владелец: Technology Innovation Momentum Fund Israel LP. Дата публикации: 2022-04-07.

Method for Optimizing Neural Networks

Номер патента: US20190138896A1. Автор: Weiran DENG. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2019-05-09.

Neural network training

Номер патента: US20230267719A1. Автор: Enrique Corona,Ghassan AlRegib,Mohit Prabhushankar,Mostafa Parchami,Ryan Benkert. Владелец: Georgia Tech Research Corp. Дата публикации: 2023-08-24.

Neural network training

Номер патента: US12020475B2. Автор: Enrique Corona,Ghassan AlRegib,Mohit Prabhushankar,Mostafa Parchami,Ryan Benkert. Владелец: FORD GLOBAL TECHNOLOGIES LLC. Дата публикации: 2024-06-25.

Design and implementation of convolution neural network on edge computing smart phone for human activity recognition

Номер патента: AU2021101172A4. Автор: Seema Agarwal,Tarun Jaiswal,Srilatha Toomula,Tarun Kumar Arora,Sushma Jaiswal,Pavan Kumar Chaubey,Sridevi R.,Shiv Raj Singh,A. Sathish,S. Vatchala. Владелец: Individual. Дата публикации: 2021-05-06.

User Equipment-Coordination Set Federated for Deep Neural Networks

Номер патента: US20230325679A1. Автор: Jibing Wang,Erik Stauffer. Владелец: Google LLC. Дата публикации: 2023-10-12.

No-reference visual media quality assessment combining deep neural networks and models of human visual system and video content/distortion analysis

Номер патента: WO2021152454A1. Автор: Zhou Wang,Kai Zeng,Ahmed BADR,Hojatollah Yeganeh,Jiheng WANG,Kaiwen Ye. Владелец: SSIMWAVE INC.. Дата публикации: 2021-08-05.

Method to balance sparsity for efficient inference of deep neural networks

Номер патента: US20200097830A1. Автор: Weiran DENG. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2020-03-26.

Multichannel microphone-based reverberation time estimation method and device which use deep neural network

Номер патента: US20200082843A1. Автор: Joon-Hyuk Chang,Myung In LEE. Владелец: Industry University Cooperation Foundation IUCF HYU. Дата публикации: 2020-03-12.

Method for training deep neural network (dnn) using auxiliary regression targets

Номер патента: US20200074273A1. Автор: Tobias Jacobs,Mischa Schmidt. Владелец: NEC Laboratories Europe GmbH. Дата публикации: 2020-03-05.

Targeted incremental growth with continual learning in deep neural networks

Номер патента: US20230385608A1. Автор: James K. Baker,Bradley J. Baker. Владелец: D5AI LLC. Дата публикации: 2023-11-30.

Targeted incremental growth with continual learning in deep neural networks

Номер патента: US11836600B2. Автор: James K. Baker,Bradley J. Baker. Владелец: D5AI LLC. Дата публикации: 2023-12-05.

System and method for reconstruction of compressed signal data using artificial neural networking

Номер патента: WO2020157754A1. Автор: David Mendlovic,Raja GIRYES,Ofir NABATI,Ido YOVEL. Владелец: Technology Innovation Momentum Fund (Israel) Limited Partnership. Дата публикации: 2020-08-06.

Event-based processing using the output of a deep neural network

Номер патента: WO2020112105A1. Автор: Madhu Sudan ATHREYA,M. Anthony Lewis. Владелец: Hewlett-Packard Development Company, L.P.. Дата публикации: 2020-06-04.

Deep neural network based speech enhancement

Номер патента: AU2019287569A1. Автор: Elie Khoury,Ganesh Sivaraman. Владелец: Pindrop Security Inc. Дата публикации: 2021-02-04.

Deep neural network based speech enhancement

Номер патента: US11756564B2. Автор: Elie Khoury,Ganesh Sivaraman. Владелец: Pindrop Security Inc. Дата публикации: 2023-09-12.

Assigning obstacles to lanes using neural networks for autonomous machine applications

Номер патента: US20240320986A1. Автор: David Nister,Minwoo Park,Sangmin Oh,Junghyun Kwon,Mehmet Kocamaz,Neeraj Sajjan. Владелец: Nvidia Corp. Дата публикации: 2024-09-26.

Systems and methods for combining stochastic average gradient and hessian-free optimization for sequence training of deep neural networks

Номер патента: US09626621B2. Автор: Vaibhava Goel,Pierre Dognin. Владелец: International Business Machines Corp. Дата публикации: 2017-04-18.

Systems and methods for combining stochastic average gradient and hessian-free optimization for sequence training of deep neural networks

Номер патента: US09483728B2. Автор: Vaibhava Goel,Pierre Dognin. Владелец: International Business Machines Corp. Дата публикации: 2016-11-01.

Rapid two-layer neural network synthesis of realistic images of a neural avatar based on a single image

Номер патента: RU2764144C1. Автор: Виктор Сергеевич Лемпицкий,Егор Олегович ЗАХАРОВ,Александра Петровна ШИШЕЯ,Алексей Александрович Ивахненко. Владелец: САМСУНГ ЭЛЕКТРОНИКС КО., ЛТД.. Дата публикации: 2022-01-13.

Neural Network model predictive method, apparatus and terminal

Номер патента: CN109492759A. Автор: 王凡,何径舟,方晓敏,陈雅雪. Владелец: Beijing Baidu Netcom Science And Technology Co Ltd. Дата публикации: 2019-03-19.

Method and system of spiking neural network-based ecg classifier for wearable edge devices

Номер патента: US20240176987A1. Автор: Arpan Pal,Sounak Dey,Dighanchal Banerjee. Владелец: Tata Consultancy Services Ltd. Дата публикации: 2024-05-30.

Incorporating top-down information in deep neural networks via the bias term

Номер патента: US20160321542A1. Автор: Regan Blythe TOWAL. Владелец: Qualcomm Inc. Дата публикации: 2016-11-03.

Incorporating top-down information in deep neural networks via the bias term

Номер патента: WO2016175925A1. Автор: Regan Blythe TOWAL. Владелец: QUALCOMM INCORPORATED. Дата публикации: 2016-11-03.

Method, apparatus and device for dynamically adjusting neural network channel

Номер патента: US20220351044A1. Автор: Shaoyan Guo. Владелец: Guangdong Inspur Smart Computing Technology Co Ltd. Дата публикации: 2022-11-03.

Method and system of spiking neural network-based ecg classifier for wearable edge devices

Номер патента: EP4386622A1. Автор: Arpan Pal,Sounak Dey,Dighanchal Banerjee. Владелец: Tata Consultancy Services Ltd. Дата публикации: 2024-06-19.

Method and apparatus for neural network model compression with micro-structured weight pruning and weight unification

Номер патента: WO2021257558A1. Автор: Wei Wang,Wei Jiang,Sheng Lin,Shan Liu. Владелец: Tencent America LLC. Дата публикации: 2021-12-23.

Method for automated monitoring of a deep neural network, computing system and vehicle

Номер патента: WO2024033099A1. Автор: Gesina Schwalbe,Dario Mendoza Gallegos. Владелец: Continental Automotive Technologies GmbH. Дата публикации: 2024-02-15.

Ranking approach to train deep neural nets for multilabel image annotation

Номер патента: US09552549B1. Автор: Sergey Ioffe,Alexander Toshkov Toshev,King Hong Thomas Leung,Yangqing Jia,Yunchao Gong. Владелец: Google LLC. Дата публикации: 2017-01-24.

Deep neural network based speech enhancement

Номер патента: CA3099805A1. Автор: Elie Khoury,Ganesh Sivaraman. Владелец: Pindrop Security Inc. Дата публикации: 2019-12-19.

Assigning obstacles to lanes using neural networks for autonomous machine applications

Номер патента: US12026955B2. Автор: David Nister,Minwoo Park,Sangmin Oh,Junghyun Kwon,Mehmet Kocamaz,Neeraj Sajjan. Владелец: Nvidia Corp. Дата публикации: 2024-07-02.

Apparatus and method for deep segmental denoising neural network for seismic data

Номер патента: US20240281651A1. Автор: Naveed IQBAL. Владелец: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS. Дата публикации: 2024-08-22.

Deep neural network based speech enhancement

Номер патента: EP3807878A1. Автор: Elie Khoury,Ganesh Sivaraman. Владелец: Pindrop Security Inc. Дата публикации: 2021-04-21.

Targeted incremental growth with continual learning in deep neural networks

Номер патента: US20240202498A1. Автор: James K. Baker,Bradley J. Baker. Владелец: D5AI LLC. Дата публикации: 2024-06-20.

Secure Training of Multi-Party Deep Neural Network

Номер патента: US20200349435A1. Автор: Ramesh Raskar,Otkrist Gupta. Владелец: Massachusetts Institute of Technology. Дата публикации: 2020-11-05.

Compound function prediction method based on neural network and connectivity map algorithm

Номер патента: US20240233878A9. Автор: Jie Zhu,Jingxiang Wang,Zhengwei XIE,Mingjing GAO,Zhurui LIU. Владелец: Beijing Gigaceuticals Tech Co Ltd. Дата публикации: 2024-07-11.

Surface defect detection method based on augmentation training of deep neural network

Номер патента: AU2021106389A4. Автор: Ying Zhang,Zesheng Lin,Hongxia Ye. Владелец: FUDAN UNIVERSITY. Дата публикации: 2021-11-04.

Efficient neural networks

Номер патента: US20230219601A1. Автор: Vidya Nariyambut murali,Francois Charette,Nikhil Nagraj Rao,Sandhya Sridhar,Shruthi Venkat. Владелец: FORD GLOBAL TECHNOLOGIES LLC. Дата публикации: 2023-07-13.

Physics-informed attention-based neural network

Номер патента: US20220414429A1. Автор: Ruben Rodriguez Torrado,Pablo Ruiz MATARAN. Владелец: Origen. Дата публикации: 2022-12-29.

Method and System for Graph-to-graph Prediction Based on Recurrent Neural Network

Номер патента: US20240176990A1. Автор: Guan Wang. Владелец: Electronic Science And Technology Of China Yangtze River Delta Research Institute Huzhou, University of. Дата публикации: 2024-05-30.

Dynamical model compression for deep neural networks

Номер патента: EP4455945A1. Автор: designation of the inventor has not yet been filed The. Владелец: UNIVERSITY COLLEGE DUBLIN. Дата публикации: 2024-10-30.

Deep neural network slimming device and operating method thereof

Номер патента: US20230334321A1. Автор: SEUNGJAE LEE,Su Woong Lee,Yongsik Lee,Wonyoung Yoo,Jong-Gook Ko,Juwon LEE,Da-Un JUNG. Владелец: Electronics and Telecommunications Research Institute ETRI. Дата публикации: 2023-10-19.

Low displacement rank based deep neural network compression

Номер патента: EP3939301A1. Автор: Shahab Hamidi-Rad,Fabien Racape,Swayambhoo JAIN,Dimitris Papadimitriou. Владелец: InterDigital VC Holdings Inc. Дата публикации: 2022-01-19.

Method and apparatus for processing data associated with a neural network

Номер патента: US20230086617A1. Автор: Jens Eric Markus Mehnert,Alexandru Paul Condurache,Paul Wimmer. Владелец: ROBERT BOSCH GMBH. Дата публикации: 2023-03-23.

Deep neural network based non-autoregressive speech synthesizer method and system using multiple decoder

Номер патента: US12033613B2. Автор: Joon-Hyuk Chang,Moa LEE. Владелец: Industry University Cooperation Foundation IUCF HYU. Дата публикации: 2024-07-09.

Method for Operating a Deep Neural Network

Номер патента: US20220222537A1. Автор: Peter Schlicht,Nico Maurice SCHMIDT. Владелец: VOLKSWAGEN AG. Дата публикации: 2022-07-14.

Deep neural network-based real-time inference method, and cloud device and edge device performing deep neural network-based real-time inference method

Номер патента: US20230386192A1. Автор: Jong Hwan KO,Joo Chan LEE. Владелец: Sungkyunkwan University Research and Business Foundation. Дата публикации: 2023-11-30.

Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications

Номер патента: US12050285B2. Автор: David Nister,Shane Murray,Sangmin Oh,Nikolai Smolyanskiy,Tilman WEKEL,Ruchi Bhargava,Joachim Pehserl,Ryan Oldja,Alexander Popov. Владелец: Nvidia Corp. Дата публикации: 2024-07-30.

Second-order optimization methods for avoiding saddle points during the training of deep neural networks

Номер патента: WO2019199307A1. Автор: Xi He,Amit Chakraborty,Ioannis Akrotirianakis. Владелец: SIEMENS AKTIENGESELLSCHAFT. Дата публикации: 2019-10-17.

Systems and methods for cooperative machine learning across multiple client computing platforms and the cloud enabling off-line deep neural network operations on client computing platforms

Номер патента: US10867241B1. Автор: John Rogers,Matthew Zeiler,Kevin Most. Владелец: Clarifai Inc. Дата публикации: 2020-12-15.

Dynamic neural network surgery

Номер патента: US12093813B2. Автор: Yan Li,Anbang YAO,Yiwen Guo,Yurong Chen. Владелец: Intel Corp. Дата публикации: 2024-09-17.

Methods and apparatus for high-fidelity vision tasks using deep neural networks

Номер патента: US12125212B2. Автор: Ke Ding,Manan Goel,Anthony Rhodes. Владелец: Intel Corp. Дата публикации: 2024-10-22.

Base station-user equipment messaging regarding deep neural networks

Номер патента: US11928587B2. Автор: Jibing Wang,Erik Richard Stauffer. Владелец: Google LLC. Дата публикации: 2024-03-12.

Base station-user equipment messaging regarding deep neural networks

Номер патента: EP4014166A1. Автор: Jibing Wang,Erik Richard Stauffer. Владелец: Google LLC. Дата публикации: 2022-06-22.

Improving a deep neural network with node-to-node relationship regularization

Номер патента: US11948063B2. Автор: James K. Baker,Bradley J. Baker. Владелец: D5AI LLC. Дата публикации: 2024-04-02.

Wireless network energy saving with graph neural networks

Номер патента: US20240023028A1. Автор: Hosein Nikopour,Oner Orhan,Vasuki Narasimha Swamy. Владелец: Intel Corp. Дата публикации: 2024-01-18.

A Text Line Recognition Method in Chinese Scenes Based on Residual Convolutional and Recurrent Neural Networks

Номер патента: AU2020101229A4. Автор: FAN YANG,Huiyun Mao,Lianwen Jin,Zhaohai LI,Canjie LUO,Weiying ZHOU. Владелец: Zhuhai Institute of Modern Industrial Innovation of South China University of Technology. Дата публикации: 2020-08-06.

Asynchronous Evaluation Strategy For Evolution Of Deep Neural Networks

Номер патента: US20180260713A1. Автор: Babak Hodjat,Hormoz Shahrzad,Risto Miikkulainen,Jason Zhi Liang. Владелец: Sentient Technologies Barbados Ltd. Дата публикации: 2018-09-13.

Patient-specific uncertainty and bias quantification and decision support for deep neural networks used in clinical x-ray computed tomography exams

Номер патента: WO2024112970A1. Автор: Hao Gong,Cynthia H. McCollough,Shuai Leng,Lifeng Yu. Владелец: Mayo Foundation for Medical Education and Research. Дата публикации: 2024-05-30.

Neighborhood Distillation of Deep Neural Networks

Номер патента: US20230092147A1. Автор: Yair Alon,Elad Edwin Tzvi Eban,Laetitia SHAO. Владелец: Google LLC. Дата публикации: 2023-03-23.

Method and apparatus for quantizing deep neural network

Номер патента: US12099915B2. Автор: Yoonho BOO. Владелец: Rebellions Inc. Дата публикации: 2024-09-24.

Neighborhood distillation of deep neural networks

Номер патента: EP4088225A1. Автор: Yair Alon,Elad Edwin Tzvi Eban,Laetitia SHAO. Владелец: Google LLC. Дата публикации: 2022-11-16.

Neighborhood distillation of deep neural networks

Номер патента: WO2021262150A1. Автор: Yair MOVSHOVITZ-ATTIAS,Elad Edwin Tzvi Eban,Laetitia SHAO. Владелец: Google LLC. Дата публикации: 2021-12-30.

Low-rank hidden input layer for speech recognition neural network

Номер патента: US09646634B2. Автор: Tara N. Sainath,Maria Carolina Parada SAN MARTIN. Владелец: Google LLC. Дата публикации: 2017-05-09.

Training deep neural network acoustic models using distributed hessian-free optimization

Номер патента: US09390370B2. Автор: Brian E. D. Kingsbury. Владелец: International Business Machines Corp. Дата публикации: 2016-07-12.

Evolutionary architectures for evolution of deep neural networks

Номер патента: WO2019118290A1. Автор: Elliot Meyerson,Risto Miikkulainen,Jason Zhi Liang. Владелец: Sentient Technologies (Barbados) Limited. Дата публикации: 2019-06-20.

Asynchronous agents with learning coaches and structurally modifying deep neural networks without performance degradation

Номер патента: US11392832B2. Автор: James K. Baker. Владелец: D5AI LLC. Дата публикации: 2022-07-19.

Apparatus and computer-implemented method for determining at least one solver-based estimate, and apparatus and computer-implemented method for training a deep neural network

Номер патента: EP3772021A1. Автор: Uwe Iben,Aaron Doerr,Nikita ASTRAKHANTSEV,Efim Boeru. Владелец: ROBERT BOSCH GMBH. Дата публикации: 2021-02-03.

Method for learning and device for reviewing insurance review claim statement on basis of deep neural network

Номер патента: US20210366049A1. Автор: Yong Hyun Cho,Cin Young HUR. Владелец: Linewalks Inc. Дата публикации: 2021-11-25.

Method for automated monitoring of a deep neural network, computing system and vehicle

Номер патента: EP4322062A1. Автор: Gesina Schwalbe,Dario Mendoza Gallegos. Владелец: Continental Automotive Technologies GmbH. Дата публикации: 2024-02-14.

Method and apparatus for neural network model compression with micro-structured weight pruning and weight unification

Номер патента: EP4022527A1. Автор: Wei Wang,Wei Jiang,Sheng Lin,Shan Liu. Владелец: Tencent America LLC. Дата публикации: 2022-07-06.

Method based on deep neural network to extract appearance and geometry features for pulmonary textures classification

Номер патента: US20200258218A1. Автор: Lin Lin,Xin Fan,Rui Xu,Haojie Li,Zhongxuan LUO,Xinchen YE. Владелец: Dalian University of Technology. Дата публикации: 2020-08-13.

Adding a split detector compound node to a deep neural network

Номер патента: US12061986B2. Автор: James K. Baker. Владелец: D5AI LLC. Дата публикации: 2024-08-13.

Computer-aided diagnostics using deep neural networks

Номер патента: CA3072380A1. Автор: Mark-Jan HARTE. Владелец: Aidence BV. Дата публикации: 2019-02-14.

Evolutionary architectures for evolution of deep neural networks

Номер патента: CA3085897C. Автор: Elliot Meyerson,Risto Miikkulainen,Jason Zhi Liang. Владелец: Cognizant Technology Solutions US Corp. Дата публикации: 2023-03-14.

Variant calling in single molecule sequencing using a convolutional neural network

Номер патента: US11842794B2. Автор: Ruibang LUO,Tak-Wah LAM,Chi-Man LIU. Владелец: University of Hong Kong HKU. Дата публикации: 2023-12-12.

Computer-aided diagnostics using deep neural networks

Номер патента: US11783936B2. Автор: Mark-Jan HARTE. Владелец: Aidence BV. Дата публикации: 2023-10-10.

Sparsity and quantization for deep neural networks

Номер патента: US20230316039A1. Автор: Douglas Christopher Burger,Eric S. Chung,Ritchie Zhao,Ming Gang Liu,Bita DARVISH ROUHANI,Rasoul SHAFIPOUR. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2023-10-05.

Deep neural network based user segmentation

Номер патента: US11954577B2. Автор: Runhua ZHAO. Владелец: Intuit Inc. Дата публикации: 2024-04-09.

Apparatus and method for training binary deep neural networks

Номер патента: WO2023217370A1. Автор: Van Minh Nguyen,Louis LECONTE. Владелец: Huawei Technologies Co., Ltd.. Дата публикации: 2023-11-16.

3-branch deep neural network

Номер патента: US20230244906A1. Автор: Pierre-Emmanuel Gaillardon,Thomas Becnel. Владелец: University of Utah Research Foundation UURF. Дата публикации: 2023-08-03.

Sparsity and quantization for deep neural networks

Номер патента: WO2023196033A1. Автор: Douglas Christopher Burger,Eric S. Chung,Ritchie Zhao,Ming Gang Liu,Bita DARVISH ROUHANI,Rasoul SHAFIPOUR. Владелец: Microsoft Technology Licensing, LLC. Дата публикации: 2023-10-12.

System and method for discriminative training of regression deep neural networks

Номер патента: WO2019209841A1. Автор: Friedrich Faubel,Jonas Sautter. Владелец: NUANCE COMMUNICATIONS, INC.. Дата публикации: 2019-10-31.

Geological feature detection using generative adversarial neural networks

Номер патента: WO2021050122A1. Автор: Fan Jiang. Владелец: Landmark Graphics Corporation. Дата публикации: 2021-03-18.

System and method for discriminative training of regression deep neural networks

Номер патента: EP3785189A1. Автор: Friedrich Faubel,Jonas Sautter. Владелец: Cerence Operating Co. Дата публикации: 2021-03-03.

System and Method for Improving Generalization in Neural Networks Using Selective Reinitialization

Номер патента: US20240127066A1. Автор: Elahe Arani,Bahram Zonooz,Vijaya Raghavan Thiruvengadathan RAMKUMAR. Владелец: Navinfo Europe BV. Дата публикации: 2024-04-18.

Stochastic Gradient Boosting For Deep Neural Networks

Номер патента: US20210232925A1. Автор: Christopher Larson,Erik T. Mueller,Oluwatobi Olabiyi. Владелец: Capital One Services LLC. Дата публикации: 2021-07-29.

Methods and algorithms of reducing computation for deep neural networks via pruning

Номер патента: US20190050735A1. Автор: Zhengping Ji,Georgios GEORGIADIS,Weiran DENG,John Wakefield BROTHERS. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2019-02-14.

Distributed clinical workflow training of deep learning neural networks

Номер патента: EP3545471A1. Автор: Oliver Schreck,Osama Masoud. Владелец: Vital Images Inc. Дата публикации: 2019-10-02.

Physics-informed attention-based neural network

Номер патента: WO2022241137A1. Автор: Ruben Rodriguez Torrado,Pablo Ruiz MATARAN. Владелец: Origen. Дата публикации: 2022-11-17.

Method and device for encoding/decoding deep neural network model

Номер патента: US20230008124A1. Автор: Byeong Ho Choi,Jae Gon Kim,Sang Seol LEE,Hyeon Cheol Moon,Sung Joon Jang,Sung Jei Kim. Владелец: Industry University Cooperation Foundation Koaea Aerospace University. Дата публикации: 2023-01-12.

Stochastic gradient boosting for deep neural networks

Номер патента: US11941523B2. Автор: Christopher Larson,Erik T. Mueller,Oluwatobi Olabiyi. Владелец: Capital One Services LLC. Дата публикации: 2024-03-26.

Secure training of multi-party deep neural network

Номер патента: US11669737B2. Автор: Ramesh Raskar,Otkrist Gupta. Владелец: Massachusetts Institute of Technology. Дата публикации: 2023-06-06.

Compound function prediction method based on neural network and connectivity map algorithm

Номер патента: US20240136025A1. Автор: Jie Zhu,Jingxiang Wang,Zhengwei XIE,Mingjing GAO,Zhurui LIU. Владелец: Beijing Gigaceuticals Tech Co Ltd. Дата публикации: 2024-04-25.

Stochastic Gradient Boosting For Deep Neural Networks

Номер патента: US20240185063A1. Автор: Christopher Larson,Erik T. Mueller,Oluwatobi Olabiyi. Владелец: Capital One Services LLC. Дата публикации: 2024-06-06.

Classification of transport layer security certificates using artificial neural networks

Номер патента: WO2020106579A1. Автор: Alejandro CORREA BAHNSEN,Ivan Dario TORROLEDO PENA,Luis David CAMACHO GONZALEZ. Владелец: Easy Solutions Enterprises Corp.. Дата публикации: 2020-05-28.

System and method for improving generalization in neural networks using selective reinitialization

Номер патента: EP4343629A1. Автор: Elahe Arani,Bahram Zonooz,Vijaya Raghavan Thiruvengadathan RAMKUMAR. Владелец: Navinfo Europe BV. Дата публикации: 2024-03-27.

Voice activity detection method and system based on joint deep neural network

Номер патента: US11830521B2. Автор: Lulu SHA. Владелец: Eeasy Technology Co Ltd. Дата публикации: 2023-11-28.

Architecture Optimization of Deep Neural Networks by Capacity Adjustment of the Network Graph

Номер патента: US20240020512A1. Автор: Jens Eric Markus Mehnert. Владелец: ROBERT BOSCH GMBH. Дата публикации: 2024-01-18.

Method to add inductive bias into deep neural networks to make them more shape-aware

Номер патента: NL2031495B1. Автор: Arani Elahe,Zonooz Bahram,Gowda Shruthi. Владелец: Navinfo Europe B V. Дата публикации: 2023-09-08.

Method to add inductive bias into deep neural networks to make them more shape-aware

Номер патента: EP4239523A1. Автор: Elahe Arani,Shruthi Gowda,Bahram Zonooz. Владелец: Navinfo Europe BV. Дата публикации: 2023-09-06.

Low displacement rank based deep neural network compression

Номер патента: WO2020190696A1. Автор: Shahab Hamidi-Rad,Fabien Racape,Swayambhoo JAIN,Dimitris Papadimitriou. Владелец: InterDigital VC Holdings, Inc.. Дата публикации: 2020-09-24.

Predicting received signal strength in a telecommunication network using deep neural networks

Номер патента: WO2019096173A1. Автор: Jin Yang,Xin Zhang,Xufeng Chen,Jie Ren,Xie Wang,Ruilin Liu,Qitao Song,Lizhou ZHOU,Xiujun Shu. Владелец: Huawei Technologies Co., Ltd.. Дата публикации: 2019-05-23.

Apparatus and method for training deep neural network

Номер патента: US20210125057A1. Автор: Jong-Won Choi,Ji-Hoon Kim,Young-Joon Choi,Byoung-Jip Kim,Seong-Won Bak. Владелец: Samsung SDS Co Ltd. Дата публикации: 2021-04-29.

Real-time motion monitoring using deep neural network

Номер патента: US20210057083A1. Автор: Martin Emile Lachaine,Silvain Bériault. Владелец: Elekta Inc. Дата публикации: 2021-02-25.

Real-time motion monitoring using deep neural network

Номер патента: WO2020102544A1. Автор: Martin Emile Lachaine,Silvain Bériault. Владелец: ELEKTA, INC.. Дата публикации: 2020-05-22.

Method to Add Inductive Bias into Deep Neural Networks to Make Them More Shape-Aware

Номер патента: US20230281978A1. Автор: Elahe Arani,Shruthi Gowda,Bahram Zonooz. Владелец: Navinfo Europe BV. Дата публикации: 2023-09-07.

A method for training a robust deep neural network model

Номер патента: NL2025214B1. Автор: Arani Elahe,Sarfraz Fahad,Zonooz Bahram. Владелец: Navinfo Europe B V. Дата публикации: 2021-08-31.

Systems and methods for accelerating hessian-free optimization for deep neural networks by implicit preconditioning and sampling

Номер патента: US20170092263A1. Автор: Tara N. Sainath,Lior Horesh,Brian E.D. Kingsbury. Владелец: International Business Machines Corp. Дата публикации: 2017-03-30.

Deep neural networks for estimating polygenic risk scores

Номер патента: US20230162004A1. Автор: Chongle Pan,Adrien BADRÉ. Владелец: University of Oklahoma . Дата публикации: 2023-05-25.

Functional deep neural network for high-dimensional data analysis

Номер патента: US20210313065A1. Автор: Qing Lu,Shan ZHANG,Tingting HOU. Владелец: University of Florida Research Foundation Inc. Дата публикации: 2021-10-07.

Augmenting deep neural networks with residual memorization

Номер патента: WO2024159171A1. Автор: Zonglin Li,Ankit Singh Rawat,Manzil Zaheer,Aditya Krishna Menon,Zitong Yang,Vaishnavh Nagarajan,Michal Mateusz Lukasik. Владелец: Google LLC. Дата публикации: 2024-08-02.

System and method for recommending contents based on deep neural network

Номер патента: US20230169330A1. Автор: Hyeonwoo AN,DaeYeol KIM,Kwangkee LEE. Владелец: TVSTORM CO Ltd. Дата публикации: 2023-06-01.

System and methods for medical image quality assessment using deep neural networks

Номер патента: EP4184433A3. Автор: Eric Hart,Katelyn Rose Nye,Prabhu Rajasekaran,Alec Joseph Baenen,Gireesha Chinthamani Rao,Scott Schubert,Raghu Prasad,Keval Harishabhai Jagatiya,Aishwarya Seth,Adam Pluim. Владелец: GE Precision Healthcare LLC. Дата публикации: 2023-09-13.

Functional deep neural network for high-dimensional data analysis

Номер патента: US12080426B2. Автор: Qing Lu,Shan ZHANG,Tingting HOU. Владелец: University of Florida Research Foundation Inc. Дата публикации: 2024-09-03.

Self-supervised deep neural network reconstruction for cardiac magnetic resonance fingerprinting

Номер патента: US20230245354A1. Автор: Jesse Hamilton. Владелец: University of Michigan. Дата публикации: 2023-08-03.

Dynamically predicting shot type using a personalized deep neural network

Номер патента: US12100210B2. Автор: Patrick Joseph LUCEY,Paul David Power,Aditya Cherukumudi,Daniel Richard Dinsdale,William Thomas Gurpinar-Morgan,Joe Dominic Gallagher. Владелец: STATS LLC. Дата публикации: 2024-09-24.

Method and system for selection and monitoring of a steam trap using deep neural network

Номер патента: US20240310217A1. Автор: Mateusz Smiechowicz,Andrzej Grzebielec,Miroslaw Seredynski,Piotr Lapka,Emil Gromadzki. Владелец: Eneon Sp Z OO. Дата публикации: 2024-09-19.

Techniques for deep neural network based inter- frame prediction in video coding

Номер патента: US12095983B2. Автор: Wei Wang,Wei Jiang,Shan Liu,Xiaozhong Xu,Byeongdoo CHOI,Zeqiang Li. Владелец: Tencent America LLC. Дата публикации: 2024-09-17.

Dynamical model compression for deep neural networks

Номер патента: WO2024223921A1. Автор: Antoine Frappe,Deepu John,Barry Cardiff,Qingyuan Wang,Benoit Larras. Владелец: UNIVERSITY COLLEGE DUBLIN. Дата публикации: 2024-10-31.

Reinforcement learning using baseline and policy neural networks

Номер патента: US20240362481A1. Автор: Adria Puigdomenech BADIA,David Silver,Volodymyr Mnih,Koray Kavukcuoglu,Timothy James Alexander Harley,Alexander Benjamin GRAVES. Владелец: DeepMind Technologies Ltd. Дата публикации: 2024-10-31.

Multilingual deep neural network

Номер патента: US09842585B2. Автор: Dong Yu,Li Deng,Yifan Gong,Jinyu Li,Jui-Ting Huang. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2017-12-12.

Systems and methods for accelerating hessian-free optimization for deep neural networks by implicit preconditioning and sampling

Номер патента: US09601109B2. Автор: Tara N. Sainath,Lior Horesh,Brian E. D. Kingsbury. Владелец: International Business Machines Corp. Дата публикации: 2017-03-21.

Visualizing deep neural networks

Номер патента: US9934462B1. Автор: Saratendu Sethi,Christopher Graham Healey,Samuel Paul Leeman-Munk,Shaoliang Nie,Kalpesh Padia,Ravinder Devarajan,David James Caira,Jordan Riley Benson,James Allen Cox,Lawrence E. Lewis. Владелец: SAS Institute Inc. Дата публикации: 2018-04-03.

System and methods for inferring thickness of anatomical classes of interest in two-dimensional medical images using deep neural networks

Номер патента: US11842485B2. Автор: Gopal Avinash,Rakesh Mullick,Tao Tan,Pal Tegzes,Ravi Soni,Krishna Seetharam Shriram,Vikram MELAPUDI,Bipul Das,Lehel Ferenczi,Máté Fejes. Владелец: GE Precision Healthcare LLC. Дата публикации: 2023-12-12.

Inversion method for readily available nutrients of soil based on deep neural network

Номер патента: LU501248B1. Автор: Wei Zhang,Xiaowei Wu. Владелец: Anhui Zhongke Intelligent Perception Industrial Tech Research Institute Co Ltd. Дата публикации: 2022-01-26.

Normalization in deep convolutional neural networks

Номер патента: US20230237309A1. Автор: XU Lan,Zhenguo Li,Xiaoyun Zhou,Zewei Chen,Jiacheng Sun,Nanyang Ye,Qijun Luo,Pedro Esperanca,Fabio Maria CARLUCCI. Владелец: Huawei Technologies Co Ltd. Дата публикации: 2023-07-27.

System and methods for inferring thickness of object classes of interest in two-dimensional medical images using deep neural networks

Номер патента: US20240078669A1. Автор: Gopal Avinash,Rakesh Mullick,Tao Tan,Pal Tegzes,Ravi Soni,Krishna Seetharam Shriram,Vikram MELAPUDI,Bipul Das,Lehel Ferenczi,Máté Fejes. Владелец: GE Precision Healthcare LLC. Дата публикации: 2024-03-07.

System and methods for inferring thickness of object classes of interest in two-dimensional medical images using deep neural networks

Номер патента: WO2022187768A9. Автор: Gopal Avinash,Rakesh Mullick,Tao Tan,Pal Tegzes,Ravi Soni,Krishna Seetharam Shriram,Vikram MELAPUDI,Bipul Das,Lehel Ferenczi,Máté Fejes. Владелец: GE Precision Healthcare LLC. Дата публикации: 2023-06-01.

System and methods for inferring thickness of object classes of interest in two-dimensional medical images using deep neural networks

Номер патента: EP4302268A1. Автор: Gopal Avinash,Rakesh Mullick,Tao Tan,Pal Tegzes,Ravi Soni,Krishna Seetharam Shriram,Vikram MELAPUDI,Bipul Das,Lehel Ferenczi,Máté Fejes. Владелец: GE Precision Healthcare LLC. Дата публикации: 2024-01-10.

System and methods for inferring thickness of object classes of interest in two-dimensional medical images using deep neural networks

Номер патента: WO2022187768A1. Автор: Gopal Avinash,Rakesh Mullick,Tao Tan,Pal Tegzes,Ravi Soni,Krishna Seetharam Shriram,Vikram MELAPUDI,Bipul Das,Lehel Ferenczi,Máté Fejes. Владелец: GE Precision Healthcare LLC. Дата публикации: 2022-09-09.

Номер патента: EP4184433A2. Автор: Eric Hart,Katelyn Rose Nye,Prabhu Rajasekaran,Alec Joseph Baenen,Gireesha Chinthamani Rao,Scott Schubert,Raghu Prasad,Keval Harishabhai Jagatiya,Aishwarya Seth,Adam Pluim. Владелец: GE Precision Healthcare LLC. Дата публикации: 2023-05-24.

Progressively-trained scale-invariant and boundary-aware deep neural network for the automatic 3D segmentation of lung lesions

Номер патента: US11776130B2. Автор: Bo Zhou,Antong Chen,Gregory Goldmacher. Владелец: Merck Sharp and Dohme LLC. Дата публикации: 2023-10-03.

Systems and methods for accelerating hessian-free optimization for deep neural networks by implicit preconditioning and sampling

Номер патента: US10056075B2. Автор: Tara N. Sainath,Lior Horesh,Brian E. D. Kingsbury. Владелец: International Business Machines Corp. Дата публикации: 2018-08-21.

System and methods for medical image quality assessment using deep neural networks

Номер патента: US12020428B2. Автор: Eric Hart,Katelyn Rose Nye,Prabhu Rajasekaran,Alec Joseph Baenen,Gireesha Chinthamani Rao,Scott Schubert,Raghu Prasad,Keval Harishabhai Jagatiya,Aishwarya Seth,Adam Pluim. Владелец: GE Precision Healthcare LLC. Дата публикации: 2024-06-25.

Using neural networks for 3d surface structure estimation based on real-world data for autonomous systems and applications

Номер патента: US20240273926A1. Автор: Yue Wu,Gang Pan,Minwoo Park,Kang Wang. Владелец: Nvidia Corp. Дата публикации: 2024-08-15.

Using neural networks for 3D surface structure estimation based on real-world data for autonomous systems and applications

Номер патента: US12100230B2. Автор: Yue Wu,Gang Pan,Minwoo Park,Kang Wang. Владелец: Nvidia Corp. Дата публикации: 2024-09-24.

Method and system for analyzing live broadcast video content with a machine learning model implementing deep neural networks to quantify screen time of displayed brands to the viewer

Номер патента: US12141842B2. Автор: Avinash Chandra Lohumi,Arun Lokman Gangotri. Владелец: Dish Network Technologies India Pvt Ltd. Дата публикации: 2024-11-12.

Method for assessing test adequacy of neural network based on element decomposition

Номер патента: US20240095159A1. Автор: PING Yang,Long Zhang,Yifei LIU,Jing Sun,Yinxiao MIAO,Yijia DING,Haoyi Chen,Xiujian ZHANG,Zhonghao CHENG,Tianqi WAN. Владелец: Beijing Aerospace Institute for Metrology and Measurement Technology. Дата публикации: 2024-03-21.

Method and system for analyzing live broadcast video content with a machine learning model implementing deep neural networks to quantify screen time of displayed brands to the viewer

Номер патента: US11748785B2. Автор: Avinash Chandra Lohumi,Arun Lokman Gangotri. Владелец: Dish Network Technologies India Pvt Ltd. Дата публикации: 2023-09-05.

Training a neural network for a predictive aortic aneurysm detection system

Номер патента: WO2023132846A1. Автор: Yupeng Li,Hieu Duc Nguyen,Shao TANG. Владелец: ROWAN UNIVERSITY. Дата публикации: 2023-07-13.

Method and system for analyzing live broadcast video content with a machine learning model implementing deep neural networks to quantify screen time of displayed brands to the viewer

Номер патента: US20230368248A1. Автор: Avinash Chandra Lohumi,Arun Lokman Gangotri. Владелец: Dish Network Technologies India Pvt Ltd. Дата публикации: 2023-11-16.

전자의무기록(Electronic Medical Record, EMR) 시스템과 연계된 심층 신경망 네트워크(Deep Neural Network, DNN) 모델을 이용한 저밀도 지질단백질 콜레스테롤(Low Density Lipoprotein Cholesterol, LDL-C) 예측 방법 및 예측 시스템

Номер патента: KR20220164363A. Автор: 황상원,서동민,권찬우,어영. Владелец: 연세대학교 원주산학협력단. Дата публикации: 2022-12-13.

System and method for determining anisomelia condition of a subject using image analysis and deep neural network learning

Номер патента: US20210233643A1. Автор: Seshadri Paravastu,Radha Samavedam Paravastu. Владелец: Individual. Дата публикации: 2021-07-29.

Deep neural network a posteriori probability detectors and media noise predictors for one- and two-dimensional magnetic recording

Номер патента: US11438014B2. Автор: Krishnamoorthy Sivakumar,Benjamin Joseph BELZER,Jinlu SHEN,Ahmed ABOUTALEB,Amirhossein SAYYAFAN. Владелец: Washington State University WSU. Дата публикации: 2022-09-06.

Combined learning method and apparatus using deepening neural network based feature enhancement and modified loss function for speaker recognition robust to noisy environments

Номер патента: US12067989B2. Автор: Joon-Hyuk Chang,JoonYoung Yang. Владелец: Industry University Cooperation Foundation IUCF HYU. Дата публикации: 2024-08-20.

Methods and systems for magnetic resonance image reconstruction using an extended sensitivity model and a deep neural network

Номер патента: US20200249300A1. Автор: Joseph Yitan Cheng,Peng Lai,Shreyas Vasanawala,Christopher Michael Sandino. Владелец: Leland Stanford Junior University. Дата публикации: 2020-08-06.

Deep neural network for ct metal artifact reduction

Номер патента: US20210000438A1. Автор: Ge Wang,Hongming Shan,Lars Arne GJESTEBY,Qingsong Yang. Владелец: RENSSELAER POLYTECHNIC INSTITUTE. Дата публикации: 2021-01-07.

System and methods for reconstructing medical images using deep neural networks and recursive decimation of measurement data

Номер патента: US12087433B2. Автор: Dattesh Dayanand Shanbhag,Hariharan RAVISHANKAR. Владелец: GE Precision Healthcare LLC. Дата публикации: 2024-09-10.

Methods and system for selective removal of streak artifacts and noise from images using deep neural networks

Номер патента: US12125175B2. Автор: Ersin Bayram,Xinzeng WANG,Graeme Colin McKinnon,Sagar Mandava,Daniel Vance Litwiller,Robert Marc Lebel. Владелец: GE Precision Healthcare LLC. Дата публикации: 2024-10-22.

Systems and methods for multi-label segmentation of cardiac computed tomography and angiography images using deep neural networks

Номер патента: US12112471B2. Автор: Celine Pruvot,Mario Viti,Faycal El Hanchi El Amrani,Nicolas Gogin. Владелец: GE Precision Healthcare LLC. Дата публикации: 2024-10-08.

Trajectory optimization using neural networks

Номер патента: US20240342909A1. Автор: Xi Chen,Yan Duan,Nikhil Mishra,Haoran TANG,Maximilian Sieb,Yide SHENTU,Shiyao WU. Владелец: Embodied Intelligence Inc. Дата публикации: 2024-10-17.

Method and apparatus for combined learning using feature enhancement based on deep neural network and modified loss function for speaker recognition robust to noisy environments

Номер патента: US20220199095A1. Автор: Joon-Hyuk Chang,JoonYoung Yang. Владелец: Industry University Cooperation Foundation IUCF HYU. Дата публикации: 2022-06-23.

Method and apparatus for combined learning using feature enhancement based on deep neural network and modified loss function for speaker recognition robust to noisy environments

Номер патента: US11854554B2. Автор: Joon-Hyuk Chang,JoonYoung Yang. Владелец: Industry University Cooperation Foundation IUCF HYU. Дата публикации: 2023-12-26.

Method, device and computer-readable medium for automatically classifying coronary lesion according to CAD-RADS classification by a deep neural network

Номер патента: US12033323B2. Автор: Jean-François Paul. Владелец: Spimed Ai. Дата публикации: 2024-07-09.

System and methods for reconstructing medical images using deep neural networks and recursive decimation of measurement data

Номер патента: US20230290487A1. Автор: Dattesh Dayanand Shanbhag,Hariharan RAVISHANKAR. Владелец: GE Precision Healthcare LLC. Дата публикации: 2023-09-14.

System and methods for reconstructing medical images using deep neural networks and recursive decimation of measurement data

Номер патента: EP3825712A1. Автор: Dattesh Dayanand Shanbhag,Hariharan RAVISHANKAR. Владелец: GE Precision Healthcare LLC. Дата публикации: 2021-05-26.

System and methods for reconstructing medical images using deep neural networks and recursive decimation of measurement data

Номер патента: US20210158935A1. Автор: Dattesh Dayanand Shanbhag,Hariharan RAVISHANKAR. Владелец: GE Precision Healthcare LLC. Дата публикации: 2021-05-27.

Номер патента: US20210065354A1. Автор: Balamuralidhar Purushothaman,Jayavardhana Rama GUBBI LAKSHMINARASIMHA,Akshaya RAMASWAMY,Ram Prabhakar KATHIRVEL,Venkatesh Babu RADHAKRISHNAN. Владелец: Tata Consultancy Services Ltd. Дата публикации: 2021-03-04.

Systems and methods for a deep neural network with combined cross-entropy and focal loss for covid-19 detection in audio samples

Номер патента: US20230062528A1. Автор: Michael Esposito,Sunil Rao,Andreas Spanias,Vivek Sivaraman Narayanaswamy. Владелец: Arizona State University ASU. Дата публикации: 2023-03-02.

A method of training an artificial deep neural network for estimation of hemodynamic parameter, a method of estimation of hemodynamic parameter, computer program products and computer systems

Номер патента: EP4428871A1. Автор: Pawel Pluszka,Maciej ZIĘBA,Tomasz KONOPCZYŃSKI,Patryk RYGIEL. Владелец: Hemolens Diagnostics Spółka Z Ograniczoną Odpowiedzialnością. Дата публикации: 2024-09-11.

A method of training an artificial deep neural network for estimation of hemodynamic parameter, a method of estimation of hemodynamic parameter, computer program products and computer systems

Номер патента: WO2024184690A1. Автор: Pawel Pluszka,Maciej ZIĘBA,Tomasz KONOPCZYŃSKI,Patryk RYGIEL. Владелец: Hemolens Diagnostics Spółka Z Ograniczoną Odpowiedzialnością. Дата публикации: 2024-09-12.

Method and system for estimating physiological parameters utilizing a deep neural network to build a calibrated parameter model

Номер патента: WO2024047621A1. Автор: Daniel H. Lange. Владелец: ChroniSense Medical Ltd.. Дата публикации: 2024-03-07.

Systems and methods for optimizing solar power using array topology reconfiguration through a regularized deep neural network

Номер патента: US20230291203A1. Автор: Andreas Spanias,Cihan Tepedelenlioglu,Rajapandian Ayyanar,Vivek Sivaraman Narayanaswamy. Владелец: Arizona State University ASU. Дата публикации: 2023-09-14.

Method for reduction of excessive elastic energy in deep seismic dangerous segments of fractures

Номер патента: RU2740630C1. Автор: Андрей Гелиевич Вахромеев,Владимир Мирославович Иванишин,Ренат Хасанович Акчурин,Сергей Александрович Сверкунов,Валерий Васильевич Ружич,Евгений Викторович Шилько. Владелец: Федеральное государственное бюджетное учреждение науки Институт земной коры Сибирского отделения Российской академии наук (ИЗК СО РАН). Дата публикации: 2021-01-18.

Reduced-scale model experimental device of coupling responses in deep-water J-Lay operation and experimental method

Номер патента: GB2627552A. Автор: Han Duanfeng,Yuan Lihao,Zan Yingfei,Huang Kuo,Ding Tianbao. Владелец: Harbin Engineering University. Дата публикации: 2024-08-28.

Reduced-scale model experimental device of coupling responses in deep-water j-lay operation and experimental method

Номер патента: US20240290226A1. Автор: Kuo Huang,Yingfei ZAN,Lihao YUAN,Duanfeng HAN,Tianbao DING. Владелец: Harbin Engineering University. Дата публикации: 2024-08-29.

Method of navigation and positioning of underwater objects in deep-water channel at large distance and system for its implementation

Номер патента: RU2674404C1. Автор: Юрий Александрович Половинка,Алексей Олегович Максимов. Владелец: Федеральное государственное бюджетное учреждение науки Тихоокеанский океанологический институт им. В.И. Ильичева Дальневосточного отделения Российской академии наук (ТОИ ДВО РАН). Дата публикации: 2018-12-07.

Номер патента: RU2661925C1. Автор: Дамир Азатович Ишкинеев,Денис Владимирович Иванов,Раиль Гусманович Заббаров,Олег Ривнерович Ганиев,Николай Александрович Шамов,Игорь Георгиевич Устенко. Владелец: Публичное акционерное общество "МАКойл" (ПАО "МАКойл"). Дата публикации: 2018-07-23.

Method of fuel heating reduction in the fuel system of a gas turbine engine in deep choke modes

Номер патента: RU2622220C1. Автор: Сергей Петрович Пашков,Евгения Борисовна Тарасова (умер),Борис Александрович Пугачев,Виктория Викторовна Суздалева,Андрей Александрович Добрынин (умер). Владелец: Открытое акционерное общество "Научно-производственное предприятие "Темп" им. Ф. Короткова. Дата публикации: 2017-06-13.

Method of constructing passages in deep level underground railway pylon stations

Номер патента: RU2691420C1. Автор: Александр Николаевич Коньков,Антон Александрович Сокорнов,Дмитрий Петрович Самокутяев. Владелец: Федеральное государственное бюджетное образовательное учреждение высшего образования "Петербургский государственный университет путей сообщения Императора Александра I". Дата публикации: 2019-06-13.

Kernel Decomposition and Activation Broadcasting in Deep Neural Networks (DNNs)

Вам могут быть интересны следующие патенты

Главная

Проекты и услуги

Контакты