Neuromorphic system using thin-film devices
May 19-23, 2019
Artificial intelligences are essential concepts in smart societies, and neural networks are typical schemes that imitate human brains. However, conventionally, neural networks are realized using complicated software and high-spec hardware, whose machine size is large and power consumption is also huge. On the other hand, neuromorphic systems are composed only of customized hardware, whose machine size can be small and power consumption can be reduced.
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Mutsumi Kimura, "Neuromorphic system using thin-film devices" in "Semiconductor Technology for Ultra Large Scale Integrated Circuits and Thin Film Transistors VII", Yue Kuo, Texas A&M University, USA Junichi Murota, Tohoku University, Japan Yukiharu Uraoka, Nara Advanced Institute of Science and Technology, Japan Yasuhiro Fukunaka, Kyoto University, Japan Eds, ECI Symposium Series, (2019). https://dc.engconfintl.org/ulsic_tft_vii/21