JPWO2022014500A1 - - Google Patents
Info
- Publication number
- JPWO2022014500A1 JPWO2022014500A1 JP2022536329A JP2022536329A JPWO2022014500A1 JP WO2022014500 A1 JPWO2022014500 A1 JP WO2022014500A1 JP 2022536329 A JP2022536329 A JP 2022536329A JP 2022536329 A JP2022536329 A JP 2022536329A JP WO2022014500 A1 JPWO2022014500 A1 JP WO2022014500A1
- Authority
- JP
- Japan
- 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.)
- Abandoned
Links
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
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
- G06N3/0455—Auto-encoder networks; Encoder-decoder networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/15—Correlation function computation including computation of convolution operations
- G06F17/153—Multidimensional correlation or convolution
-
- 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
- G06N3/0464—Convolutional networks [CNN, ConvNet]
-
- 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
- G06N3/06—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
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Databases & Information Systems (AREA)
- Algebra (AREA)
- Artificial Intelligence (AREA)
- Computational Linguistics (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Neurology (AREA)
- Compression, Expansion, Code Conversion, And Decoders (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2020123312 | 2020-07-17 | ||
| PCT/JP2021/025989 WO2022014500A1 (ja) | 2020-07-17 | 2021-07-09 | ニューラルネットワーク処理装置、情報処理装置、情報処理システム、電子機器、ニューラルネットワーク処理方法およびプログラム |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| JPWO2022014500A1 true JPWO2022014500A1 (enExample) | 2022-01-20 |
Family
ID=79555419
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022536329A Abandoned JPWO2022014500A1 (enExample) | 2020-07-17 | 2021-07-09 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US20230267310A1 (enExample) |
| EP (1) | EP4184392A4 (enExample) |
| JP (1) | JPWO2022014500A1 (enExample) |
| KR (1) | KR20230038509A (enExample) |
| CN (1) | CN115843365A (enExample) |
| WO (1) | WO2022014500A1 (enExample) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2023128263A (ja) * | 2022-03-03 | 2023-09-14 | ソニーグループ株式会社 | 情報処理装置及び情報処理方法 |
Family Cites Families (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015079946A1 (ja) | 2013-11-29 | 2015-06-04 | ソニー株式会社 | 周波数帯域拡大装置および方法、並びにプログラム |
| US10891538B2 (en) * | 2016-08-11 | 2021-01-12 | Nvidia Corporation | Sparse convolutional neural network accelerator |
| CN107239823A (zh) * | 2016-08-12 | 2017-10-10 | 北京深鉴科技有限公司 | 一种用于实现稀疏神经网络的装置和方法 |
| US10360163B2 (en) * | 2016-10-27 | 2019-07-23 | Google Llc | Exploiting input data sparsity in neural network compute units |
| US10175980B2 (en) * | 2016-10-27 | 2019-01-08 | Google Llc | Neural network compute tile |
| US10795836B2 (en) * | 2017-04-17 | 2020-10-06 | Microsoft Technology Licensing, Llc | Data processing performance enhancement for neural networks using a virtualized data iterator |
| US20180330235A1 (en) * | 2017-05-15 | 2018-11-15 | National Taiwan University | Apparatus and Method of Using Dual Indexing in Input Neurons and Corresponding Weights of Sparse Neural Network |
| US11481218B2 (en) * | 2017-08-02 | 2022-10-25 | Intel Corporation | System and method enabling one-hot neural networks on a machine learning compute platform |
| WO2019053835A1 (ja) * | 2017-09-14 | 2019-03-21 | 三菱電機株式会社 | 演算回路、演算方法、およびプログラム |
| US20210150322A1 (en) * | 2018-01-23 | 2021-05-20 | Sony Corporation | Neural network processing apparatus, neural network processing method, and program |
| US11966835B2 (en) * | 2018-06-05 | 2024-04-23 | Nvidia Corp. | Deep neural network accelerator with fine-grained parallelism discovery |
| US10644721B2 (en) * | 2018-06-11 | 2020-05-05 | Tenstorrent Inc. | Processing core data compression and storage system |
| JP7340926B2 (ja) * | 2018-12-14 | 2023-09-08 | 日本光電工業株式会社 | 生体情報処理装置、生体情報センサ及び生体情報システム |
| US11625584B2 (en) * | 2019-06-17 | 2023-04-11 | Intel Corporation | Reconfigurable memory compression techniques for deep neural networks |
-
2021
- 2021-07-09 JP JP2022536329A patent/JPWO2022014500A1/ja not_active Abandoned
- 2021-07-09 EP EP21842420.8A patent/EP4184392A4/en active Pending
- 2021-07-09 US US18/010,377 patent/US20230267310A1/en active Pending
- 2021-07-09 KR KR1020237004217A patent/KR20230038509A/ko not_active Abandoned
- 2021-07-09 WO PCT/JP2021/025989 patent/WO2022014500A1/ja not_active Ceased
- 2021-07-09 CN CN202180049508.9A patent/CN115843365A/zh not_active Withdrawn
Also Published As
| Publication number | Publication date |
|---|---|
| EP4184392A1 (en) | 2023-05-24 |
| US20230267310A1 (en) | 2023-08-24 |
| CN115843365A (zh) | 2023-03-24 |
| WO2022014500A1 (ja) | 2022-01-20 |
| KR20230038509A (ko) | 2023-03-20 |
| EP4184392A4 (en) | 2024-01-10 |
Similar Documents
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20240625 |
|
| A762 | Written abandonment of application |
Free format text: JAPANESE INTERMEDIATE CODE: A762 Effective date: 20250418 |