IN2014CN03106A - - Google Patents
Info
- Publication number
- IN2014CN03106A IN2014CN03106A IN3106CHN2014A IN2014CN03106A IN 2014CN03106 A IN2014CN03106 A IN 2014CN03106A IN 3106CHN2014 A IN3106CHN2014 A IN 3106CHN2014A IN 2014CN03106 A IN2014CN03106 A IN 2014CN03106A
- Authority
- IN
- India
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/047—Probabilistic or stochastic networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
- G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
-
- G—PHYSICS
- G11—INFORMATION STORAGE
- G11C—STATIC STORES
- G11C11/00—Digital stores characterised by the use of particular electric or magnetic storage elements; Storage elements therefor
- G11C11/02—Digital stores characterised by the use of particular electric or magnetic storage elements; Storage elements therefor using magnetic elements
- G11C11/16—Digital stores characterised by the use of particular electric or magnetic storage elements; Storage elements therefor using magnetic elements using elements in which the storage effect is based on magnetic spin effect
- G11C11/165—Auxiliary circuits
- G11C11/1673—Reading or sensing circuits or methods
-
- G—PHYSICS
- G11—INFORMATION STORAGE
- G11C—STATIC STORES
- G11C11/00—Digital stores characterised by the use of particular electric or magnetic storage elements; Storage elements therefor
- G11C11/54—Digital stores characterised by the use of particular electric or magnetic storage elements; Storage elements therefor using elements simulating biological cells, e.g. neuron
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- General Health & Medical Sciences (AREA)
- Evolutionary Computation (AREA)
- Data Mining & Analysis (AREA)
- Computational Linguistics (AREA)
- Artificial Intelligence (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Neurology (AREA)
- Probability & Statistics with Applications (AREA)
- Computer Hardware Design (AREA)
- Semiconductor Memories (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US13/292,161 US9111222B2 (en) | 2011-11-09 | 2011-11-09 | Method and apparatus for switching the binary state of a location in memory in a probabilistic manner to store synaptic weights of a neural network |
| PCT/US2012/063719 WO2013070612A1 (en) | 2011-11-09 | 2012-11-06 | Method and apparatus for using memory in probabilistic manner to store synaptic weights of neural network |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| IN2014CN03106A true IN2014CN03106A (en) | 2015-08-14 |
Family
ID=47459084
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| IN3106CHN2014 IN2014CN03106A (en) | 2011-11-09 | 2014-04-24 |
Country Status (8)
| Country | Link |
|---|---|
| US (1) | US9111222B2 (en) |
| EP (1) | EP2776988B1 (en) |
| JP (1) | JP5989790B2 (en) |
| KR (1) | KR101611222B1 (en) |
| CN (1) | CN103917992B (en) |
| IN (1) | IN2014CN03106A (en) |
| TW (1) | TWI480813B (en) |
| WO (1) | WO2013070612A1 (en) |
Families Citing this family (43)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9542643B2 (en) * | 2013-05-21 | 2017-01-10 | Qualcomm Incorporated | Efficient hardware implementation of spiking networks |
| US9305256B2 (en) * | 2013-10-02 | 2016-04-05 | Qualcomm Incorporated | Automated method for modifying neural dynamics |
| US10373050B2 (en) * | 2015-05-08 | 2019-08-06 | Qualcomm Incorporated | Fixed point neural network based on floating point neural network quantization |
| US10049322B2 (en) * | 2015-05-21 | 2018-08-14 | Google Llc | Prefetching weights for use in a neural network processor |
| US20170083813A1 (en) * | 2015-09-23 | 2017-03-23 | Charles Augustine | Electronic neural network circuit having a resistance based learning rule circuit |
| US10387778B2 (en) * | 2015-09-29 | 2019-08-20 | International Business Machines Corporation | Scalable architecture for implementing maximization algorithms with resistive devices |
| US9734880B1 (en) | 2016-04-01 | 2017-08-15 | Intel Corporation | Apparatuses, methods, and systems for stochastic memory circuits using magnetic tunnel junctions |
| CN107368888B (en) * | 2016-05-11 | 2021-05-25 | 上海磁宇信息科技有限公司 | Brain-like computing system and synapse thereof |
| GB2552014B (en) | 2016-07-07 | 2020-05-13 | Advanced Risc Mach Ltd | Reconfigurable artificial neural networks comprising programmable non-volatile memory elements |
| JP6724646B2 (en) * | 2016-08-10 | 2020-07-15 | Tdk株式会社 | Magnetoresistive element, thermal history sensor and magnetic memory using spin glass |
| US11263521B2 (en) | 2016-08-30 | 2022-03-01 | International Business Machines Corporation | Voltage control of learning rate for RPU devices for deep neural network training |
| JP6743641B2 (en) * | 2016-10-18 | 2020-08-19 | Tdk株式会社 | Magnetic field modulation mechanism, magnetic field modulation element, analog memory element, and high frequency filter |
| EP3324343A1 (en) * | 2016-11-21 | 2018-05-23 | Centre National de la Recherche Scientifique | Unsupervised detection of repeating patterns in a series of events |
| KR102656190B1 (en) | 2016-11-24 | 2024-04-11 | 삼성전자주식회사 | Storage device including nonvolatile memory device and access method for nonvolatile memory device |
| CN108154225B (en) * | 2016-12-06 | 2021-09-03 | 上海磁宇信息科技有限公司 | Neural network chip using analog computation |
| CN108154226B (en) * | 2016-12-06 | 2021-09-03 | 上海磁宇信息科技有限公司 | Neural network chip using analog computation |
| CN107103358A (en) * | 2017-03-24 | 2017-08-29 | 中国科学院计算技术研究所 | Processing with Neural Network method and system based on spin transfer torque magnetic memory |
| WO2018182694A1 (en) * | 2017-03-31 | 2018-10-04 | Intel Corporation | Methods and apparatus for magnetoelectric neurons in neural networks |
| US10552733B2 (en) * | 2017-04-03 | 2020-02-04 | Gyrfalcon Technology Inc. | Memory subsystem in CNN based digital IC for artificial intelligence |
| US10296824B2 (en) * | 2017-04-03 | 2019-05-21 | Gyrfalcon Technology Inc. | Fabrication methods of memory subsystem used in CNN based digital IC for AI |
| US10331368B2 (en) * | 2017-04-03 | 2019-06-25 | Gyrfalcon Technology Inc. | MLC based magnetic random access memory used in CNN based digital IC for AI |
| US10546234B2 (en) * | 2017-04-03 | 2020-01-28 | Gyrfalcon Technology Inc. | Buffer memory architecture for a CNN based processing unit and creation methods thereof |
| US10534996B2 (en) * | 2017-04-03 | 2020-01-14 | Gyrfalcon Technology Inc. | Memory subsystem in CNN based digital IC for artificial intelligence |
| US10331999B2 (en) * | 2017-04-03 | 2019-06-25 | Gyrfalcon Technology Inc. | Memory subsystem in CNN based digital IC for artificial intelligence |
| US10331367B2 (en) * | 2017-04-03 | 2019-06-25 | Gyrfalcon Technology Inc. | Embedded memory subsystems for a CNN based processing unit and methods of making |
| KR20180116671A (en) * | 2017-04-17 | 2018-10-25 | 에스케이하이닉스 주식회사 | Neuromorphic Device Including a Post-Synaptic Neuron Having A SUBTRACTOR AND A SYNAPSE NETWORK OF THE NEUROMORPHIC DEVICE |
| TWI625681B (en) | 2017-05-11 | 2018-06-01 | 國立交通大學 | Neural network processing system |
| KR102534917B1 (en) * | 2017-08-16 | 2023-05-19 | 에스케이하이닉스 주식회사 | Memory device comprising neural network processor and memory system including the same |
| TWI653584B (en) | 2017-09-15 | 2019-03-11 | 中原大學 | Method of judging neural network with non-volatile memory cells |
| US11556343B2 (en) | 2017-09-22 | 2023-01-17 | International Business Machines Corporation | Computational method for temporal pooling and correlation |
| US11301753B2 (en) | 2017-11-06 | 2022-04-12 | Samsung Electronics Co., Ltd. | Neuron circuit, system, and method with synapse weight learning |
| US11138493B2 (en) | 2017-12-22 | 2021-10-05 | International Business Machines Corporation | Approaching homeostasis in a binary neural network |
| CN108053029B (en) * | 2017-12-27 | 2021-08-27 | 上海闪易半导体有限公司 | Neural network training method based on storage array |
| US11321608B2 (en) | 2018-01-19 | 2022-05-03 | International Business Machines Corporation | Synapse memory cell driver |
| KR102117658B1 (en) | 2018-04-05 | 2020-06-01 | 광운대학교 산학협력단 | Memristor Applicable to Neuromorphic System and Method of Manufacturing Memristor Consisting of Metal-oxide Films Fabricated by Solution Process |
| US11200484B2 (en) | 2018-09-06 | 2021-12-14 | International Business Machines Corporation | Probability propagation over factor graphs |
| US11599785B2 (en) | 2018-11-13 | 2023-03-07 | International Business Machines Corporation | Inference focus for offline training of SRAM inference engine in binary neural network |
| CN110135571B (en) * | 2019-04-11 | 2023-09-29 | 上海集成电路研发中心有限公司 | Single-layer linear neural network based on cell synaptic structure |
| KR102314079B1 (en) * | 2019-05-23 | 2021-10-18 | 포항공과대학교 산학협력단 | Artificial Neural Network Hardware System using Fuse Device and Pruning Method Using the Same |
| JP7383528B2 (en) * | 2020-03-03 | 2023-11-20 | 株式会社東芝 | Spiking neural network device and learning method for spiking neural network device |
| CN113496273B (en) * | 2020-04-03 | 2024-05-14 | 中国科学院苏州纳米技术与纳米仿生研究所 | Magnetic tunnel junction and neuron nonlinear response device |
| US11556790B2 (en) | 2020-09-30 | 2023-01-17 | Micron Technology, Inc. | Artificial neural network training in memory |
| KR102515089B1 (en) * | 2020-10-22 | 2023-03-27 | 경북대학교 산학협력단 | Operation method of spiking neural network (snn) hardware for ultra-low power consumption, and circuit for performing the method |
Family Cites Families (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3341823A (en) | 1965-01-07 | 1967-09-12 | Melpar Inc | Simplified statistical switch |
| US4999525A (en) * | 1989-02-10 | 1991-03-12 | Intel Corporation | Exclusive-or cell for pattern matching employing floating gate devices |
| US4904881A (en) * | 1989-02-10 | 1990-02-27 | Intel Corporation | EXCLUSIVE-OR cell for neural network and the like |
| CA2112111A1 (en) * | 1991-06-21 | 1993-01-07 | Trevor Grant Clarkson | Devices for use in neural processing |
| WO1993018474A1 (en) | 1992-03-11 | 1993-09-16 | University College London | Devices for use in neural processing |
| US7034701B1 (en) | 2000-06-16 | 2006-04-25 | The United States Of America As Represented By The Secretary Of The Navy | Identification of fire signatures for shipboard multi-criteria fire detection systems |
| JP2005517330A (en) * | 2002-02-05 | 2005-06-09 | シーメンス アクチエンゲゼルシヤフト | Method for classifying traffic dynamics of network communication using a network with pulse neurons |
| US6948102B2 (en) | 2002-04-29 | 2005-09-20 | International Business Machines Corporation | Predictive failure analysis for storage networks |
| US6844582B2 (en) | 2002-05-10 | 2005-01-18 | Matsushita Electric Industrial Co., Ltd. | Semiconductor device and learning method thereof |
| US6999953B2 (en) | 2002-07-03 | 2006-02-14 | Energy Conversion Devices, Inc. | Analog neurons and neurosynaptic networks |
| US7502769B2 (en) | 2005-01-31 | 2009-03-10 | Knowmtech, Llc | Fractal memory and computational methods and systems based on nanotechnology |
| US7930257B2 (en) | 2007-01-05 | 2011-04-19 | Knowm Tech, Llc | Hierarchical temporal memory utilizing nanotechnology |
| US7962429B2 (en) | 2007-05-24 | 2011-06-14 | Paul Adams | Neuromorphic device for proofreading connection adjustments in hardware artificial neural networks |
| TW200924426A (en) | 2007-11-26 | 2009-06-01 | Chunghwa Telecom Co Ltd | Intrusion detection method using multi-layer artificial neural network |
| TW200923803A (en) | 2007-11-26 | 2009-06-01 | Univ Nat Taipei Technology | Hardware neural network learning and recall architecture |
| EP2263165A4 (en) * | 2008-03-14 | 2011-08-24 | Hewlett Packard Development Co | Neuromorphic circuit |
| TW201010407A (en) | 2008-08-19 | 2010-03-01 | Univ Nat Kaohsiung Applied Sci | Color image noise reduction method using particle swarm optimization and cellular neural network |
| US7978510B2 (en) * | 2009-03-01 | 2011-07-12 | International Businesss Machines Corporation | Stochastic synapse memory element with spike-timing dependent plasticity (STDP) |
| US8250010B2 (en) * | 2009-05-21 | 2012-08-21 | International Business Machines Corporation | Electronic learning synapse with spike-timing dependent plasticity using unipolar memory-switching elements |
| US8200371B2 (en) | 2009-06-25 | 2012-06-12 | Qualcomm Incorporated | Prediction engine to control energy consumption |
| TWI391699B (en) | 2009-11-27 | 2013-04-01 | Univ Shu Te | Positioning method using modified probabilistic neural network |
| US9342780B2 (en) * | 2010-07-30 | 2016-05-17 | Hewlett Packard Enterprise Development Lp | Systems and methods for modeling binary synapses |
| US8856055B2 (en) | 2011-04-08 | 2014-10-07 | International Business Machines Corporation | Reconfigurable and customizable general-purpose circuits for neural networks |
-
2011
- 2011-11-09 US US13/292,161 patent/US9111222B2/en active Active
-
2012
- 2012-11-06 JP JP2014541162A patent/JP5989790B2/en not_active Expired - Fee Related
- 2012-11-06 CN CN201280054886.7A patent/CN103917992B/en not_active Expired - Fee Related
- 2012-11-06 KR KR1020147015253A patent/KR101611222B1/en not_active IP Right Cessation
- 2012-11-06 EP EP12808537.0A patent/EP2776988B1/en active Active
- 2012-11-06 WO PCT/US2012/063719 patent/WO2013070612A1/en active Application Filing
- 2012-11-08 TW TW101141569A patent/TWI480813B/en not_active IP Right Cessation
-
2014
- 2014-04-24 IN IN3106CHN2014 patent/IN2014CN03106A/en unknown
Also Published As
| Publication number | Publication date |
|---|---|
| CN103917992B (en) | 2017-10-20 |
| CN103917992A (en) | 2014-07-09 |
| JP5989790B2 (en) | 2016-09-07 |
| EP2776988A1 (en) | 2014-09-17 |
| US9111222B2 (en) | 2015-08-18 |
| KR20140092877A (en) | 2014-07-24 |
| KR101611222B1 (en) | 2016-04-11 |
| JP2015501972A (en) | 2015-01-19 |
| EP2776988B1 (en) | 2019-04-17 |
| TWI480813B (en) | 2015-04-11 |
| TW201329878A (en) | 2013-07-16 |
| US20130117209A1 (en) | 2013-05-09 |
| WO2013070612A1 (en) | 2013-05-16 |