Microsoft Research Summit 2021
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Research talk: Computationally efficient large-scale AI

Today’s AI is too big. Deep neural networks demand extraordinary levels of computation, and therefore power and carbon, for training and inference. In this research talk, Song Han, MIT, presents TinyML and efficient deep learning techniques that make AI greener, smaller, faster, and deployable on IoT devices.

Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit

Track:
Deep Learning & Large-Scale AI
Date:
Speakers:
Song Han
Affiliation:
MIT

Deep Learning & Large-Scale AI