Technical Challenges and Opportunities in Embedded Machine Learning Processors

Technical Challenges and Opportunities in Embedded Machine Learning Processors

In December 2016, Vivienne Sze, Yu-Hsin Chen, and others (authors of Eyeriss) published a good review article titled “Hardware for Machine Learning: Challenges and Opportunities” on arXiv. Here, I would like to discuss my understanding of the “challenges” and “opportunities” in conjunction with this article [8] and the ISSCC2017 paper [1-7]. First, this discussion mainly … Read more

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