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The Case for Hardware-ML Model Co-design with Diana Marculescu - #391
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Sam Charrington

· 46 Minutes

PodcastThe TWIML AI Podcast

The Case for Hardware-ML Model Co-design with Diana Marculescu - #391

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Today we’re joined by Diana Marculescu, Professor of Electrical and Computer Engineering at UT Austin. We caught up with Diana to discuss her work on hardware-aware machine learning. In particular, we explore her keynote, “Putting the “Machine” Back in Machine Learning: The Case for Hardware-ML Model Co-design” from CVPR 2020. We explore how her research group is focusing on making models more efficient so that they run better on current hardware systems, and how they plan on achieving true co

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This story was published by The TWIML AI Podcast and written by Sam Charrington. SyncAI.news shows a preview; the complete article is on the publisher's site.

Read the full story on twimlai.com

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