| Project/Area Number |
15K12107
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Soft computing
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| Research Institution | Osaka University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
浅井 哲也 北海道大学, 情報科学研究科, 教授 (00312380)
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| Project Period (FY) |
2015-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | ニューラルネットワーク / 人工知能 / ニューラルコンピューティング / ハードウェア / ポリマーワイヤー / PEDOT:PSS / 非ノイマン型 / 機械学習 / 導電性高分子 / 情報回路 / ポリマー / ディープラーニング / ソフトコンピューティング / 情報認識 |
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| Outline of Final Research Achievements |
We tried to create an informational circuit based on neural network consists of an organic polymer with plasticity which grows freely in a space filled by an electrolytic solution. The polymer growth forms the neural networks and changeable and holdable conductance of the wire realizes the memory function in the network.
In the research period, in situ measurement of wire conductance during the wire growth has become possible by making an especial electronic circuit design. By elaborating the growth condition of the wire, conductance change width was greatly improved from the original one digit to more than three orders of magnitude. As a result, we succeeded in automatically forming AND, OR, NOR and NAND gate within few minutes.
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