2022.02.25
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-chip model construction, which is the combination of weight generation and “supermask” expansion, the Hiddenite chip drastically reduces external memory access for enhanced computational efficiency.
