JP2022534380A5 - - Google Patents
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- JP2022534380A5 JP2022534380A5 JP2021569493A JP2021569493A JP2022534380A5 JP 2022534380 A5 JP2022534380 A5 JP 2022534380A5 JP 2021569493 A JP2021569493 A JP 2021569493A JP 2021569493 A JP2021569493 A JP 2021569493A JP 2022534380 A5 JP2022534380 A5 JP 2022534380A5
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Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16/427,559 | 2019-05-31 | ||
| US16/427,559 US11361218B2 (en) | 2019-05-31 | 2019-05-31 | Noise and signal management for RPU array |
| PCT/IB2020/053407 WO2020240288A1 (en) | 2019-05-31 | 2020-04-09 | Noise and signal management for rpu array |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2022534380A JP2022534380A (ja) | 2022-07-29 |
| JP2022534380A5 true JP2022534380A5 (https=) | 2022-09-15 |
| JP7357080B2 JP7357080B2 (ja) | 2023-10-05 |
Family
ID=73550855
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021569493A Active JP7357080B2 (ja) | 2019-05-31 | 2020-04-09 | Ｒｐｕアレイのためのノイズおよび信号管理 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US11361218B2 (https=) |
| JP (1) | JP7357080B2 (https=) |
| CN (1) | CN113841164B (https=) |
| DE (1) | DE112020002547T5 (https=) |
| GB (1) | GB2597232B (https=) |
| WO (1) | WO2020240288A1 (https=) |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11482133B2 (en) * | 2019-09-04 | 2022-10-25 | Optum Services (Ireland) Limited | Automatically modifying display presentations to programmatically accommodate for visual impairments |
| DE102019213898A1 (de) * | 2019-09-11 | 2021-03-11 | Robert Bosch Gmbh | Robustes und besser trainierbares künstliches neuronales Netzwerk |
| US12488250B2 (en) | 2020-11-02 | 2025-12-02 | International Business Machines Corporation | Weight repetition on RPU crossbar arrays |
| US12169534B2 (en) * | 2020-12-07 | 2024-12-17 | International Business Machines Corporation | Worst case noise and bound management for RPU crossbar arrays |
| US12112264B2 (en) | 2020-12-15 | 2024-10-08 | International Business Machines Corporation | Dynamic configuration of readout circuitry for different operations in analog resistive crossbar array |
| US12585940B2 (en) * | 2021-09-25 | 2026-03-24 | International Business Machines Corporation | Learning static bound management parameters for analog resistive processing unit system |
| US20240086677A1 (en) * | 2022-09-12 | 2024-03-14 | International Business Machines Corporation | Learned column-weights for rapid-estimation of properties of an entire excitation vector |
| CN118487605B (zh) * | 2024-05-08 | 2025-10-14 | 北京犀灵视觉科技有限公司 | 感存算融合处理场景的模拟域信号归一化方法及装置 |
Family Cites Families (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5500905A (en) | 1991-06-12 | 1996-03-19 | Microelectronics And Computer Technology Corporation | Pattern recognition neural network with saccade-like operation |
| CA2081036C (en) | 1991-12-19 | 1999-08-03 | Ahmed Hashem Abdelmonem | Method and apparatus for predicting transmission system errors and failures |
| US6078843A (en) | 1997-01-24 | 2000-06-20 | Honeywell Inc. | Neural network including input normalization for use in a closed loop control system |
| US6054710A (en) | 1997-12-18 | 2000-04-25 | Cypress Semiconductor Corp. | Method and apparatus for obtaining two- or three-dimensional information from scanning electron microscopy |
| EP3483795B1 (en) * | 2015-01-28 | 2021-03-10 | Google LLC | Batch normalization layers |
| US10373054B2 (en) | 2015-04-19 | 2019-08-06 | International Business Machines Corporation | Annealed dropout training of neural networks |
| JP6523815B2 (ja) * | 2015-06-22 | 2019-06-05 | 株式会社日立製作所 | プラント診断装置及びプラント診断方法 |
| US10248907B2 (en) * | 2015-10-20 | 2019-04-02 | International Business Machines Corporation | Resistive processing unit |
| WO2017214507A1 (en) * | 2016-06-09 | 2017-12-14 | Progress, Inc. | Neural network and method of neural network training |
| US9646243B1 (en) | 2016-09-12 | 2017-05-09 | International Business Machines Corporation | Convolutional neural networks using resistive processing unit array |
| US10755170B2 (en) * | 2017-03-01 | 2020-08-25 | International Business Machines Corporation | Resistive processing unit with hysteretic updates for neural network training |
| US10325007B2 (en) | 2017-04-05 | 2019-06-18 | International Business Machines Corporation | Noise and bound management for RPU array |
| US10990874B2 (en) | 2017-05-22 | 2021-04-27 | Sap Se | Predicting wildfires on the basis of biophysical indicators and spatiotemporal properties using a convolutional neural network |
| US10192161B1 (en) | 2017-12-13 | 2019-01-29 | International Business Machines Corporation | Lithium-drift based resistive processing unit for accelerating machine learning training |
| US11947668B2 (en) * | 2018-10-12 | 2024-04-02 | Sophos Limited | Methods and apparatus for preserving information between layers within a neural network |
| EP3921796B1 (en) * | 2019-02-06 | 2026-04-08 | The University of British Columbia | Neural network image analysis |
-
2019
- 2019-05-31 US US16/427,559 patent/US11361218B2/en active Active
-
2020
- 2020-04-09 CN CN202080037034.1A patent/CN113841164B/zh active Active
- 2020-04-09 WO PCT/IB2020/053407 patent/WO2020240288A1/en not_active Ceased
- 2020-04-09 JP JP2021569493A patent/JP7357080B2/ja active Active
- 2020-04-09 DE DE112020002547.0T patent/DE112020002547T5/de active Pending
- 2020-04-09 GB GB2116922.2A patent/GB2597232B/en active Active
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