26 Aug '16, 8pm

@eetimes picks up @movidius call to action on power efficiency in CNNs

@eetimes picks up @movidius call to action on power efficiency in CNNs

(Image: Movidius) Click here for larger image The intense effort around perfecting convolutional neural networks for machine learning needs to start taking power efficiency into account, said David Moloney, chief technology officer at Movidius. He showed the chart above under the title “Is it Worth It,” noting incremental gains in accuracy are coming at the cost of performance/watt. The current focus on training neural networks is driving demand for power-hogging servers packing multiple GPUs like one Facebook recently announced . Moloney made the case that in many applications, more gains in performance, latency and power are won in inference engines like Movidius’ chips placed on the edge of the network close to sensors. Clearly, his call to action served his company’s agenda, but it also seemed to have in mind the best interests of the machine-learning sector which is r...

Full article: http://www.eetimes.com/document.asp?doc_id=1330362&page_n...

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