EP2825974A4 - Tag-basierte vorrichtung und verfahren für neuronale netzwerke - Google Patents

Tag-basierte vorrichtung und verfahren für neuronale netzwerke Download PDF

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Publication number
EP2825974A4
EP2825974A4 EP13760351.0A EP13760351A EP2825974A4 EP 2825974 A4 EP2825974 A4 EP 2825974A4 EP 13760351 A EP13760351 A EP 13760351A EP 2825974 A4 EP2825974 A4 EP 2825974A4
Authority
EP
European Patent Office
Prior art keywords
tag
methods
neural networks
based apparatus
neural
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.)
Ceased
Application number
EP13760351.0A
Other languages
English (en)
French (fr)
Other versions
EP2825974A1 (de
Inventor
Botond Szatmary
Eugene M. Izhikevich
Csaba Petre
Jayram Moorkanikara Nageswaran
Filip PIEKNIEWSKI
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.)
Qualcomm Inc
Original Assignee
Qualcomm Technologies 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 US13/385,933 external-priority patent/US10210452B2/en
Application filed by Qualcomm Technologies Inc filed Critical Qualcomm Technologies Inc
Publication of EP2825974A1 publication Critical patent/EP2825974A1/de
Publication of EP2825974A4 publication Critical patent/EP2825974A4/de
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/10—Interfaces, programming languages or software development kits, e.g. for simulating neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
    • G06N3/042—Knowledge-based neural networks; Logical representations of neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/0495—Quantised networks; Sparse networks; Compressed networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Stored Programmes (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
EP13760351.0A 2012-03-15 2013-03-15 Tag-basierte vorrichtung und verfahren für neuronale netzwerke Ceased EP2825974A4 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US13/385,933 US10210452B2 (en) 2011-09-21 2012-03-15 High level neuromorphic network description apparatus and methods
PCT/US2013/032546 WO2013138778A1 (en) 2012-03-15 2013-03-15 Tag-based apparatus and methods for neural networks

Publications (2)

Publication Number Publication Date
EP2825974A1 EP2825974A1 (de) 2015-01-21
EP2825974A4 true EP2825974A4 (de) 2017-04-05

Family

ID=49161874

Family Applications (1)

Application Number Title Priority Date Filing Date
EP13760351.0A Ceased EP2825974A4 (de) 2012-03-15 2013-03-15 Tag-basierte vorrichtung und verfahren für neuronale netzwerke

Country Status (3)

Country Link
EP (1) EP2825974A4 (de)
CN (2) CN106991475A (de)
WO (1) WO2013138778A1 (de)

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US10540588B2 (en) * 2015-06-29 2020-01-21 Microsoft Technology Licensing, Llc Deep neural network processing on hardware accelerators with stacked memory
CN121981182A (zh) 2015-10-23 2026-05-05 株式会社半导体能源研究所 半导体装置及电子设备
WO2017083399A2 (en) * 2015-11-09 2017-05-18 Google Inc. Training neural networks represented as computational graphs
US12430543B2 (en) 2017-04-04 2025-09-30 Hailo Technologies Ltd. Structured sparsity guided training in an artificial neural network
US11544545B2 (en) 2017-04-04 2023-01-03 Hailo Technologies Ltd. Structured activation based sparsity in an artificial neural network
US10387298B2 (en) 2017-04-04 2019-08-20 Hailo Technologies Ltd Artificial neural network incorporating emphasis and focus techniques
US11551028B2 (en) 2017-04-04 2023-01-10 Hailo Technologies Ltd. Structured weight based sparsity in an artificial neural network
US11238334B2 (en) 2017-04-04 2022-02-01 Hailo Technologies Ltd. System and method of input alignment for efficient vector operations in an artificial neural network
US11615297B2 (en) 2017-04-04 2023-03-28 Hailo Technologies Ltd. Structured weight based sparsity in an artificial neural network compiler
CN106970820B (zh) * 2017-04-26 2020-09-04 腾讯科技（深圳）有限公司 代码存储方法及代码存储装置
CN109492747A (zh) * 2017-09-13 2019-03-19 杭州海康威视数字技术股份有限公司 一种神经网络的网络结构生成方法及装置
CN108985448B (zh) * 2018-06-06 2020-11-17 北京大学 神经网络表示标准框架结构
CN110727462B (zh) * 2018-07-16 2021-10-19 上海寒武纪信息科技有限公司 数据处理器和数据处理方法
CN111104120B (zh) * 2018-10-29 2023-12-22 赛灵思公司 神经网络编译方法、系统及相应异构计算平台
CN109598332B (zh) * 2018-11-14 2021-04-09 北京市商汤科技开发有限公司 神经网络生成方法及装置、电子设备和存储介质
CN119883236A (zh) * 2019-06-28 2025-04-25 微软技术许可有限责任公司 用于深度学习的可视化编程
CN111339437B (zh) * 2020-02-14 2023-07-14 支付宝(杭州)信息技术有限公司 一种团伙成员角色的确定方法、装置及电子设备
US11811421B2 (en) 2020-09-29 2023-11-07 Hailo Technologies Ltd. Weights safety mechanism in an artificial neural network processor
US11874900B2 (en) 2020-09-29 2024-01-16 Hailo Technologies Ltd. Cluster interlayer safety mechanism in an artificial neural network processor
US11263077B1 (en) 2020-09-29 2022-03-01 Hailo Technologies Ltd. Neural network intermediate results safety mechanism in an artificial neural network processor
US12248367B2 (en) 2020-09-29 2025-03-11 Hailo Technologies Ltd. Software defined redundant allocation safety mechanism in an artificial neural network processor
US11237894B1 (en) 2020-09-29 2022-02-01 Hailo Technologies Ltd. Layer control unit instruction addressing safety mechanism in an artificial neural network processor
US11221929B1 (en) 2020-09-29 2022-01-11 Hailo Technologies Ltd. Data stream fault detection mechanism in an artificial neural network processor
CN116205276B (zh) * 2021-11-30 2026-04-21 北京灵汐科技有限公司 多房室神经元模型运算的装置和方法、计算机可读介质
WO2023225566A1 (en) * 2022-05-19 2023-11-23 Onetrust Llc Managing the development and usage of machine-learning models and datasets via common data objects
CN116227588B (zh) * 2023-03-16 2025-08-15 东华大学 基于虚拟突触思想的大规模视觉皮层神经网络仿真方法

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US20070192262A1 (en) * 2006-02-10 2007-08-16 Numenta, Inc. Hierarchical Temporal Memory Based System Including Nodes with Input or Output Variables of Disparate Properties

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CN1216343C (zh) * 2003-07-24 2005-08-24 上海交通大学 基于旋转不变形态学神经网络的红外目标识别方法
JP2005352900A (ja) * 2004-06-11 2005-12-22 Canon Inc 情報処理装置、情報処理方法、パターン認識装置、及びパターン認識方法
EP1861814A2 (de) * 2005-03-14 2007-12-05 Stephen L. Thaler Instrument zur entwicklung neuronaler netzwerke und datenanalyse
US7849030B2 (en) * 2006-05-31 2010-12-07 Hartford Fire Insurance Company Method and system for classifying documents
CN105321108B (zh) * 2007-04-12 2019-10-18 克罗尔信息保证有限责任公司 一种用于在对等网络上创建共享信息列表的系统和方法
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Non-Patent Citations (5)

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Title
ALFRED STREY: "EpsiloNN - A Specification Language for the Efficient Parallel Simulation of Neural Networks", BIOLOGICAL AND ARTIFICIAL COMPUTATION: FROM NEUROSCIENCE TO TECHNOLOGY, 1 January 1997 (1997-01-01), pages 714 - 722, XP055350267, Retrieved from the Internet <URL:ftp://neuro.informatik.uni-ulm.de/ni/alfred/iwann97.ps.gz> [retrieved on 20170228] *
CORNELIS ET AL: "Neurospaces:Towards automated model partitioning for parallel computers", NEUROCOMPUTING, ELSEVIER, AMSTERDAM, NL, vol. 70, no. 10-12, 29 April 2007 (2007-04-29), pages 2117 - 2121, XP022053054, ISSN: 0925-2312, DOI: 10.1016/J.NEUCOM.2006.10.140 *
KORB T ET AL: "A declarative neural network description language", MICROPROCESSING AND MICROPROGRAMMING, ELSEVIER SCIENCE PUBLISHERS, BV., AMSTERDAM, NL, vol. 27, no. 1-5, 1 August 1989 (1989-08-01), pages 181 - 188, XP026658288, ISSN: 0165-6074, [retrieved on 19890801], DOI: 10.1016/0165-6074(89)90043-4 *
PADRAIG GLEESON ET AL: "NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail (w/ supporting information)", PLOS COMPUTATIONAL BIOLOGY, vol. 6, no. 6, 17 June 2010 (2010-06-17), pages e1000815, XP055179294, DOI: 10.1371/journal.pcbi.1000815 *
See also references of WO2013138778A1 *

Also Published As

Publication number Publication date
WO2013138778A1 (en) 2013-09-19
CN106991475A (zh) 2017-07-28
CN104620236A (zh) 2015-05-13
CN104620236B (zh) 2019-02-15
EP2825974A1 (de) 2015-01-21

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