Development of low-power and high-efficiency artificial sensory neurons

Currently, AI services spread rapidly in daily life and in all industries. These services are enabled by connecting AI centers and terminals, such as mobile devices, PCs, etc. This method, however, increases the burden on the environment by consuming a lot of power not only to drive the AI system but also to transmit data. In times of war or disasters, it may become useless due to power collapse and network failures, the consequences of which may be even more serious if it is an AI service in the life and safety field. As a next-generation artificial intelligence technology that can overcome these weaknesses, low-power and high-efficiency “in-sensor computing” technology that mimics the information processing mechanism of the human nervous system is drawing attention.


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