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"Software/Hardware Co-design for Tiny AI Systems" Yiran Chen Chair ACM SIGDA The advancement of Artificial Intelligence (AI) ... "Efficient AI for Wildlife Conservation" Sara M. Beery Visiting Researcher, Google Assistant Professor, MIT CSAIL We require ... "Processing-In-Memory for Efficient AI Inference at the In today's competitive market, engineers face increasing challenges in developing embedded products with ML chips that have ...
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tinyML Talks: Efficient AI for Wildlife Conservation
tinyML Talks - Daniel Situnayake: How to train and deploy tinyML models for three common sensor...
tinyML Talks - Pete Warden: No-Code Edge ML
tinyML Talks local Seattle: An Introduction to Optimizing ML Models with TVMC
tinyML Talks: Processing-In-Memory for Efficient AI Inference at the Edge
tinyML Summit 2022: Building data-centric AI tooling for embedded engineers
tinyML TALKS - Solving Edge ML Challenges with Custom Chips featuring Andrew Wright of Efabless
tinyML Talks: Empowering the Edge: Practical Applications of Embedded Machine Learning on MCUs