NTT Corporation and the University of Tokyo have developed a new learning algorithm inspired by the information processing of the brain that is suitable for multi-layered artificial neural networks (DNN) using analog operations. This breakthrough will lead to a reduction in power consumption and computation time for AI. The research was published in the British scientific journal Nature Communications on December 26th and achieved the world’s first demonstration of efficiently executed optical DNN learning. It is expected to enable high-speed, low-power machine learning devices, as well as the world’s highest performance of a multi-layered artificial neural network that uses analog operations.
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