CEVA Introduces Deep Neural Network Framework to Accelerate Machine Learning Deployment in …

SANTA CLARA, Calif., Oct. 7, 2015 /PRNewswire/ — Linley Processor Conference 2015 — CEVA, Inc. (NASDAQ: CEVA), the leading licensor of DSP IP platforms for cellular, multimedia and connectivity, has today introduced the CEVA Deep Neural Network (CDNN), a real-time neural network software framework, to streamline machine learning deployment in low-power embedded systems. Harnessing the processing power of the CEVA-XM4 imaging & vision DSP, the CDNN enables embedded systems to perform deep learning tasks 3x faster than the leading GPU-based systems while consuming 30x less power and requiring 15x less memory bandwidth*. For example, running a Deep Neural Network (DNN) based pedestrian detection algorithm at 28nm requires less than 30mW for a 1080p 30 frames per second video stream.Key to the performance, low power and low memory bandwidth capabilities of CDNN…


Link to Full Article: CEVA Introduces Deep Neural Network Framework to Accelerate Machine Learning Deployment in …

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