Toshiba Advances Deep Learning with Extremely Low Power Neuromorphic Processor

TOKYO–(BUSINESS WIRE)–Toshiba Corporation (TOKYO:6502) continues to build on its commitment to promoting the Internet of Things and Big Data analysis with development of a Time Domain Neural Network1 (TDNN) that uses 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. Deep learning requires massive numbers of calculations, typically executed on high performance processors that consume a lot of power. However, bringing the power of deep learning to IoT edge devices, such as sensors and smart phones requires highly energy…


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