25 min listen
Brain-Inspired Hardware and Algorithm Co-Design with Melika Payvand - #585
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Brain-Inspired Hardware and Algorithm Co-Design with Melika Payvand - #585
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
ratings:
Length:
44 minutes
Released:
Aug 1, 2022
Format:
Podcast episode
Description
Today we continue our ICML coverage joined by Melika Payvand, a research scientist at the Institute of Neuroinformatics at the University of Zurich and ETH Zurich. Melika spoke at the Hardware Aware Efficient Training (HAET) Workshop, delivering a keynote on Brain-inspired hardware and algorithm co-design for low power online training on the edge. In our conversation with Melika, we explore her work at the intersection of ML and neuroinformatics, what makes the proposed architecture “brain-inspired”, and how techniques like online learning fit into the picture. We also discuss the characteristics of the devices that are running the algorithms she’s creating, and the challenges of adapting online learning-style algorithms to this hardware.
The complete show notes for this episode can be found at twimlai.com/go/585
The complete show notes for this episode can be found at twimlai.com/go/585
Released:
Aug 1, 2022
Format:
Podcast episode
Titles in the series (100)
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