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Putting the "Machine" Back in Machine Learning: The Case for Hardware-ML Model Co-design
Putting the “Machine” Back in Machine Learning: The Case for Hardware-ML Model Co-design
The Case for Hardware-ML Model Co-design with Diana Marculescu - #391
tinyML Talks: Software/Hardware Co-design for Tiny AI Systems
Keynote: The Potential of Machine Learning for Hardware Design - Jeff Dean
SDS 575: Optimizing Computer Hardware with Deep Learning — with Magnus Ekman
Vincent Vanhoucke - Learning to Co-Design
GODFATHER OF AI: MIGHT THE ROBOTS TAKE OVER?
FlashInfer
CFU Playground: Model-specific Acceleration on FPGAs - Timothy Callahan & Alan V. Green, Google
tinyML Summit 2021: Edge ML hardware for every application
From Integrated Circuits to AI at the Edge: Fundamentals of Deep Learning & Data-Driven Hardware
