NTT Corporation and the University of Tokyo have developed a new learning algorithm for multi-layered artificial neural networks that is suitable for analog operations and is expected to reduce power consumption and computation time for AI. This breakthrough was published in the British scientific journal Nature Communications on December 26 and demonstrated the world’s first efficient optical DNN learning.
