ML on the edge: Hardware and Models for Machine Learning on Constrained Platforms

A talk by Matthew Mattina
Distinguished Engineer & Senior Director of Arm's Machine Learning Research Lab, ARM

08 March 2021, 12:00 PM

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About this talk

Deep neural networks are a key technology at the core of advanced audio and video applications. As these applications migrate from large servers executing in the cloud to mobile and embedded platforms, they place significant demands on the underlying hardware platform. This talk will review the key properties of these models and how these properties are leveraged to deliver efficient inference on energy, compute, and space-constrained platforms.

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