MLSys Seminar Episode 81: Martin Maas [Mon, 10:30 am PT]

[Simran Arora]

Hi everyone, 

We're super excited to host Martin Maas for the 81^st MLSys Seminar episode tomorrow (October 16^th) at 10:30 am PT. 

YouTube Live link: https://www.youtube.com/watch?v=4_UdAR_5jqk

The talk details are as follows:

Title: A Taxonomy of Machine Learning for Systems Problems

Abstract: Machine learning has the potential to significantly improve computer systems. While recent research in this area has shown great promise, not all problems are equally well-suited for applying ML techniques, and some remaining challenges have prevented wider adoption of ML in systems. In this talk, I will introduce a taxonomy to classify machine learning for systems approaches, discuss how to identify cases that are a good fit for machine learning, and lay out a longer-term vision of how different systems can be improved using ML techniques, ranging from computer architecture to language runtimes.

Bio: Martin Maas is a Staff Research Scientist at Google DeepMind. His research interests are in language runtimes, computer architecture, systems, and machine learning, with a focus on applying machine learning to systems problems. Before joining Google, Martin completed his PhD in Computer Science at the University of California at Berkeley, where he worked on hardware support for managed languages and architectural support for memory-trace obliviousness.

See everyone there!!

Best,

Simran

[Simran Arora]

Reminder that this starts in 10 minutes!

YouTube Live link: https://www.youtube.com/watch?v=4_UdAR_5jqk

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From: Simran Arora
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Subject: MLSys Seminar Episode 81: Martin Maas [Mon, 10:30 am PT]