CN111033522B - 用于人工智能的并行神经处理器 - Google Patents

用于人工智能的并行神经处理器 Download PDF

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CN111033522B
CN111033522B CN201880055138.8A CN201880055138A CN111033522B CN 111033522 B CN111033522 B CN 111033522B CN 201880055138 A CN201880055138 A CN 201880055138A CN 111033522 B CN111033522 B CN 111033522B
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CN111033522A (zh
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罗希特·塞思
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    • 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
    • G06N3/045—Combinations of 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
    • G06N3/06—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
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24133—Distances to prototypes
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/24323—Tree-organised classifiers
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G06N3/02—Neural networks
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    • G06N3/0499—Feedforward 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
    • G—PHYSICS
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    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/088—Non-supervised learning, e.g. competitive learning
    • G—PHYSICS
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    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/0895—Weakly supervised learning, e.g. semi-supervised or self-supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

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  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
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CN201880055138.8A 2017-09-08 2018-09-07 用于人工智能的并行神经处理器 Active CN111033522B (zh)

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US201762556312P 2017-09-08 2017-09-08
US62/556,312 2017-09-08
US16/124,104 US11507806B2 (en) 2017-09-08 2018-09-06 Parallel neural processor for Artificial Intelligence
US16/124,104 2018-09-06
PCT/IB2018/000994 WO2019048922A1 (en) 2017-09-08 2018-09-07 PARALLEL NEURONAL PROCESSOR FOR ARTIFICIAL INTELLIGENCE

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EP (1) EP3679522A4 (https=)
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CN (2) CN111033522B (https=)
AU (2) AU2018330840B2 (https=)
CA (1) CA3112064A1 (https=)
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US11138496B2 (en) 2021-10-05
JP2020533668A (ja) 2020-11-19
WO2019048922A1 (en) 2019-03-14
US20250217635A1 (en) 2025-07-03
CN111033522A (zh) 2020-04-17
AU2021240266A1 (en) 2021-10-28
TW201921296A (zh) 2019-06-01
TWI846192B (zh) 2024-06-21
JP7114694B2 (ja) 2022-08-08
US11507806B2 (en) 2022-11-22
KR20210018527A (ko) 2021-02-17
CA3112064A1 (en) 2019-03-14
AU2021240266B2 (en) 2024-02-29
EP3679522A1 (en) 2020-07-15
US20230316056A1 (en) 2023-10-05
US20190080227A1 (en) 2019-03-14
KR20200057707A (ko) 2020-05-26
CN117151177A (zh) 2023-12-01
TW202328982A (zh) 2023-07-16
KR20230154295A (ko) 2023-11-07
US12061974B2 (en) 2024-08-13
TWI789423B (zh) 2023-01-11
AU2018330840B2 (en) 2021-07-01
KR102598208B1 (ko) 2023-11-02
EP3679522A4 (en) 2021-06-09
AU2018330840A1 (en) 2020-02-27
KR102215619B1 (ko) 2021-02-15
US20190080228A1 (en) 2019-03-14

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