Jan 23, 2020

Machine learning on the edge

Posted by in category: robotics/AI

In a recent IEEE Spectrum article, learn how engineers are taking machine learning to the smallest microprocessors, while facing challenges in energy consumption, compressing neural networks, and privacy practices. #tinyML #neuralnetworks #machinelearning

IN FEBRUARY, a group of researchers from Google, Microsoft, Qualcomm, Samsung, and half a dozen universities will gather in San Jose, Calif., to discuss the challenge of bringing machine learning to the farthest edge of the network, specifically microprocessors running on sensors or other battery-powered devices.

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