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Tokyo Institute of Technology: Hiddenite: A New AI Processor for Reduced Computational Power Consumption Based on a Cutting-Edge Neural Network Theory

A new accelerator chip called "Hiddenite" that can achieve state-of-the-art accuracy in the calculation of sparse "hidden neural networks" with lower computational burdens has now been developed by Tokyo Tech researchers. By employing the proposed on

Jaehoon yuMasato motomuraTaiwan semiconductor manufacturing companyHidden neural network inference tensor engineTokyo institute of technology techInternational solidTokyo techTokyo instituteInternational solid state circuits conference

New AI processor for reduced computational power consumption based on cutting-edge neural network theory

New AI processor for reduced computational power consumption based on cutting-edge neural network theory
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Thiem van chuJunnosuke suzukiKazutoshi hiroseJaehoon yuKazushi kawamuraMasato motomuraKota andoYasuyuki okoshiHidden network inferenceTaiwan semiconductor manufacturing companyHidden neural network inference tensor engineTokyo institute of technology techTokyo institute of technologyInternational solidTokyo techTokyo institute