Construction of stochastic superconductor neural networks towards ultra-low-power machine learning
About this project
- Japan Grant Number
- JP22H00220
- Funding Program
- Grants-in-Aid for Scientific Research
- Funding organization
- Japan Society for the Promotion of Science
- Project/Area Number
- 22H00220
- Research Category
- Grant-in-Aid for Scientific Research (A)
- Allocation Type
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- Single-year Grants
- Review Section / Research Field
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- Medium-sized Section 21:Electrical and electronic engineering and related fields
- Research Institution
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- National Institute of Advanced Industrial Science and Technology
- Project Period (FY)
- 2022-04-01 〜 2027-03-31
- Project Status
- Granted
- Budget Amount*help
- 41,470,000 Yen (Direct Cost: 31,900,000 Yen Indirect Cost: 9,570,000 Yen)
Research Abstract
人工知能が中核をなすSociety 5.0の実現には、従来コンピュータに比べて革新的にエネルギー効率の優れた機械学習用ハードウェアの開発が緊要である。そこで本研究は、低エネルギー超伝導集積回路技術をベースに、超伝導ニューロン回路、不揮発性超伝導メモリ、In-memory計算アーキテクチャ、確率的演算手法を融合させて、超低電力ニューラルネットワーク回路の基盤技術の創出を目指す。
Keywords
Details 詳細情報について
-
- CRID
- 1040573407541364736
-
- Text Lang
- ja
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- Data Source
-
- KAKEN
