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EP4172874A4 - Neurone utilisant des postulats - Google Patents

Neurone utilisant des postulats Download PDF

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Publication number
EP4172874A4
EP4172874A4 EP21833644.4A EP21833644A EP4172874A4 EP 4172874 A4 EP4172874 A4 EP 4172874A4 EP 21833644 A EP21833644 A EP 21833644A EP 4172874 A4 EP4172874 A4 EP 4172874A4
Authority
EP
European Patent Office
Prior art keywords
postulates
neuron
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP21833644.4A
Other languages
German (de)
English (en)
Other versions
EP4172874A1 (fr
Inventor
Vijay S. Ramesh
Richard C. Murphy
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Micron Technology Inc
Original Assignee
Micron Technology Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US16/915,039 external-priority patent/US11636323B2/en
Priority claimed from US16/997,599 external-priority patent/US12159219B2/en
Application filed by Micron Technology Inc filed Critical Micron Technology Inc
Publication of EP4172874A1 publication Critical patent/EP4172874A1/fr
Publication of EP4172874A4 publication Critical patent/EP4172874A4/fr
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F7/00Methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F7/38Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation
    • G06F7/48Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using non-contact-making devices, e.g. tube, solid state device; using unspecified devices
    • G06F7/544Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using non-contact-making devices, e.g. tube, solid state device; using unspecified devices for evaluating functions by calculation
    • G06F7/5443Sum of products
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/049Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • GPHYSICS
    • G11INFORMATION STORAGE
    • G11CSTATIC STORES
    • G11C11/00Digital stores characterised by the use of particular electric or magnetic storage elements; Storage elements therefor
    • G11C11/54Digital stores characterised by the use of particular electric or magnetic storage elements; Storage elements therefor using elements simulating biological cells, e.g. neuron

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • General Health & Medical Sciences (AREA)
  • Mathematical Physics (AREA)
  • Artificial Intelligence (AREA)
  • Neurology (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Computational Linguistics (AREA)
  • Computer Hardware Design (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Memory System (AREA)
  • Microelectronics & Electronic Packaging (AREA)
  • Advance Control (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)
EP21833644.4A 2020-06-29 2021-06-28 Neurone utilisant des postulats Pending EP4172874A4 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US16/915,039 US11636323B2 (en) 2020-06-29 2020-06-29 Neuromorphic operations using posits
US16/997,599 US12159219B2 (en) 2020-08-19 2020-08-19 Neuron using posits
PCT/US2021/039326 WO2022005944A1 (fr) 2020-06-29 2021-06-28 Neurone utilisant des postulats

Publications (2)

Publication Number Publication Date
EP4172874A1 EP4172874A1 (fr) 2023-05-03
EP4172874A4 true EP4172874A4 (fr) 2024-07-17

Family

ID=79314886

Family Applications (2)

Application Number Title Priority Date Filing Date
EP21833816.8A Pending EP4172875A4 (fr) 2020-06-29 2021-06-01 Opérations neuromorphiques utilisant des positons
EP21833644.4A Pending EP4172874A4 (fr) 2020-06-29 2021-06-28 Neurone utilisant des postulats

Family Applications Before (1)

Application Number Title Priority Date Filing Date
EP21833816.8A Pending EP4172875A4 (fr) 2020-06-29 2021-06-01 Opérations neuromorphiques utilisant des positons

Country Status (4)

Country Link
EP (2) EP4172875A4 (fr)
KR (2) KR102813842B1 (fr)
CN (2) CN115668224B (fr)
WO (2) WO2022005673A1 (fr)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
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US12079733B2 (en) * 2020-06-23 2024-09-03 Sandisk Technologies Llc Multi-precision digital compute-in-memory deep neural network engine for flexible and energy efficient inferencing
CN116432711B (zh) * 2023-02-13 2023-12-05 杭州菲数科技有限公司 SiLU激活函数的硬件实现方法、装置及计算设备
KR102840183B1 (ko) * 2024-03-21 2025-08-01 경희대학교 산학협력단 인공 신경망을 위한 데이터 포맷을 처리하는 인공 신경망 연산 장치 및 인공신경망 연산 방법
CN120670371B (zh) * 2025-08-14 2025-11-04 西安电子科技大学杭州研究院 一种基于posit格式的存算一体处理器及处理方法

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US6795117B2 (en) * 2001-11-06 2004-09-21 Candela Microsystems, Inc. CMOS image sensor with noise cancellation
FR2983664B1 (fr) * 2011-12-05 2013-12-20 Commissariat Energie Atomique Convertisseur analogique-numerique et circuit neuromorphique utilisant un tel convertisseur
US9830999B2 (en) * 2014-06-05 2017-11-28 Micron Technology, Inc. Comparison operations in memory
US10169701B2 (en) * 2015-05-26 2019-01-01 International Business Machines Corporation Neuron peripheral circuits for neuromorphic synaptic memory array based on neuron models
US10885429B2 (en) * 2015-07-06 2021-01-05 University Of Dayton On-chip training of memristor crossbar neuromorphic processing systems
US10474627B2 (en) * 2015-10-08 2019-11-12 Via Alliance Semiconductor Co., Ltd. Neural network unit with neural memory and array of neural processing units that collectively shift row of data received from neural memory
US10360971B1 (en) 2015-11-02 2019-07-23 Green Mountain Semiconductor, Inc. Artificial neural network functionality within dynamic random-access memory
US10180808B2 (en) 2016-10-27 2019-01-15 Samsung Electronics Co., Ltd. Software stack and programming for DPU operations
US11222260B2 (en) * 2017-03-22 2022-01-11 Micron Technology, Inc. Apparatuses and methods for operating neural networks
KR20180111156A (ko) * 2017-03-31 2018-10-11 에스케이하이닉스 주식회사 피드-백 라인을 가진 포스트-시냅틱 뉴런을 포함하는 뉴로모픽 소자 및 뉴로모픽 소자의 동작 방법
KR101965850B1 (ko) * 2017-04-26 2019-04-05 광주과학기술원 인공 신경망에 사용되는 활성 함수의 확률적 구현 방법 및 그를 포함하는 시스템
US11354568B2 (en) * 2017-06-30 2022-06-07 Intel Corporation In-memory spiking neural networks for memory array architectures
US10956811B2 (en) * 2017-07-31 2021-03-23 Intel Corporation Variable epoch spike train filtering
JP2019057053A (ja) * 2017-09-20 2019-04-11 東芝メモリ株式会社 半導体記憶装置
KR102141385B1 (ko) * 2018-03-08 2020-08-05 포항공과대학교 산학협력단 전치 가능한 메모리와 가상 순람표를 이용한 뉴로모픽 시스템
KR102675781B1 (ko) * 2018-06-27 2024-06-18 삼성전자주식회사 뉴로모픽 프로세서 및 그것의 동작 방법
CN111310909B (zh) * 2020-02-24 2024-02-13 南京大学 一种浮点数转换电路

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
CHI PING ET AL: "PRIME: A Novel Processing-in-Memory Architecture for Neural Network Computation in ReRAM-Based Main Memory", 2013 21ST INTERNATIONAL CONFERENCE ON PROGRAM COMPREHENSION (ICPC); [INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE.(ISCA)], IEEE, US, 18 June 2016 (2016-06-18), pages 27 - 39, XP032950646, ISSN: 1063-6897, ISBN: 978-0-7695-3174-8, [retrieved on 20160824], DOI: 10.1109/ISCA.2016.13 *
HASAN GENC ET AL: "Gemmini: An Agile Systolic Array Generator Enabling Systematic Evaluations of Deep-Learning Architectures", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 22 November 2019 (2019-11-22), XP081547212 *
MIN CHUHAN ET AL: "NeuralHMC: An Efficient HMC-Based Accelerator for Deep Neural Networks", 2019 24TH ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE (ASP-DAC), ACM, 21 January 2019 (2019-01-21), pages 1 - 6, XP034592916, DOI: 10.1145/3287624.3287642 *
See also references of WO2022005944A1 *
ZACHARIAH CARMICHAEL ET AL: "Deep Positron: A Deep Neural Network Using the Posit Number System", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 5 December 2018 (2018-12-05), XP080989217 *

Also Published As

Publication number Publication date
KR102813842B1 (ko) 2025-05-28
KR102813843B1 (ko) 2025-05-28
EP4172874A1 (fr) 2023-05-03
CN115668224B (zh) 2024-06-11
EP4172875A1 (fr) 2023-05-03
EP4172875A4 (fr) 2024-08-14
WO2022005944A1 (fr) 2022-01-06
KR20230027250A (ko) 2023-02-27
CN115516463A (zh) 2022-12-23
WO2022005673A1 (fr) 2022-01-06
KR20230021140A (ko) 2023-02-13
CN115668224A (zh) 2023-01-31

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