Toshiba advances deep learning with extremely low power neuromorphic processor
Monday, November 7, 2016 - 07:31
in Physics & Chemistry
Toshiba Corporation continues to build on its commitment to promoting the Internet of Things and Big Data analysis with development of a Time Domain Neural Network (TDNN) that sues an extremely low power consumption neuromorphic semiconductor circuit to perform processing for Deep Learning. TDNN is composed of a massive number of tiny processing units that use Toshiba's original analog technique, unlike conventional digital processors. TDNN was reported on November 8 at A-SSCC 2016 (Asian Solid-State Circuits Conference 2016), an IEEE-sponsored international conference on semiconductor circuit technology held in Japan.