AI chip

A new architecture processor, called AI chip, performs a huge number of multiply-accumulation (MAC) for machine learning application, different from general-purpose CPU which is suitable for sequential processing.

We are studying processors, called AI chip, which executes machine learning at high speed and low power. One example is neuromorphic computing chip which mimics human neurons by using analog circuits. Up to now, time-domain multiply accumulation (MAC) operation is realized by flexibly controlling the on/off time of the novel oscillation circuit according to the inputs and the weights of neural network. The proposed MAC operation improves power efficiency by about 10 times.