Neuromorphic system using thin-film devices

Conference Dates

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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