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Paper Abstract and Keywords
Presentation 2023-10-13 09:30
[Invited Talk] Material reservoir computing devices for robot applications, such as in-sensor tactile computing devices
Hirofumi Tanaka (Kyutech)
Abstract (in Japanese) (See Japanese page) 
(in English) Reservoir arithmetic elements, which are expected to be used as lighter-task AI hardware systems, were fabricated in random networks of various nanomaterials (material reservoir) and their performance was compared. Benchmark tasks used were waveform generation, memory capacity, and speech recognition. The pressure sensor was fabricated with a nanomaterial sponge structure, and since it has a random structure of nanomaterials inside, it can be directly mounted on a robot hand as a reservoir device (in-sensor computing device). The device successfully classified nine types of different grasped objects. The result is expected to lead to the realization of low power consumption AI systems.
Keyword (in Japanese) (See Japanese page) 
(in English) Neuromorphic (Brainmorphic) / In-Material Reservoir Computing / Recurrent Neural Network / Randomness / / / /  
Reference Info. ITE Tech. Rep.
Paper #  
Date of Issue  
ISSN Online edition: ISSN 2424-1970
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Conference Information
Committee IEICE-SIS BCT  
Conference Date 2023-10-12 - 2023-10-13 
Place (in Japanese) (See Japanese page) 
Place (in English) HISTORIA UBE 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IEICE-SIS 
Conference Code 2023-10-SIS-BCT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Material reservoir computing devices for robot applications, such as in-sensor tactile computing devices 
Sub Title (in English)  
Keyword(1) Neuromorphic (Brainmorphic)  
Keyword(2) In-Material Reservoir Computing  
Keyword(3) Recurrent Neural Network  
Keyword(4) Randomness  
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1st Author's Name Hirofumi Tanaka  
1st Author's Affiliation Kyushu Institute of Technology (Kyutech)
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Speaker Author-1 
Date Time 2023-10-13 09:30:00 
Presentation Time 60 minutes 
Registration for IEICE-SIS 
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Volume (vol) vol.47 
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