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.

from News on Artificial Intelligence and Machine Learning https://ift.tt/D3lmIM6

SHARE SHARE SHARE