Neuromorphic Computing could play a major role in Artificial Intelligence : A recent study by Applied Brain Research

Posted by MarketsandMarkets on Dec 13, 2018 6:22:35 PM

On 6th December 2018, Applied Brain Research Inc. (Canada), a neuromorphic computing software developing company, released the results of a study that evaluated the performance of their Nengo Deep Learning Toolkit, running an audio keyword spotting deep learning network on Intel's Loihi neuromorphic research chip and compared the energy efficiency to traditional hardware.
 
The benchmarking results show that Nengo DL on Intel Loihi uses 38x less energy per inference than an architecturally identical network running on an NVIDIA Quadro K4000 GPU. The study also compared the dynamic energy cost per inference performance of the same deep network on several other platforms. In each case, the Nengo DL on Loihi network consumed significantly less power. In comparison, the NVIDIA Jetson TX1 edge GPU consumed 7.3x more energy, the Intel Xeon E5-2630 CPU consumed 8.2x more energy, and the Movidius Neural Compute Stick consumed 1.9x more energy.

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Topics: Semiconductor and Electronics, Artificial Intelligence, Neuromorphic Computing

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