Article 2APZX Intel FPGAs Break Record for Deep Learning Facial Recognition

Intel FPGAs Break Record for Deep Learning Facial Recognition

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from High-Performance Computing News Analysis | insideHPC on (#2APZX)
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Today Intel announced record results on a new benchmark in deep learning and convolutional neural networks (CNN). ZTE's engineers used Intel's midrange Arria 10 FPGA for a cloud inferencing application using a CNN algorithm. "ZTE has achieved a new record - beyond a thousand images per second in facial recognition - with what is known as "theoretical high accuracy" achieved for their custom topology. Intel's Arria 10 FPGA accelerated the raw design performance more than 10 times while maintaining the accuracy."

The post Intel FPGAs Break Record for Deep Learning Facial Recognition appeared first on insideHPC.

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