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@stanford-mast
Stanford MAST stanford-mast
The Stanford Multi-scale Architectures & Systems Team

Stanford University

@ml-explore
ml-explore ml-explore
Machine learning research on your laptop or in a data center - by Apple
@awni
Awni Hannun awni
Research at Anthropic. Prev: co-created MLX at Apple, trained neural nets at FAIR, Baidu, Stanford PhD

United States

@songhan
Song songhan
Song Han is an associate professor at MIT EECS and distinguished scientist at NVIDIA. His research interest is efficient AI computing.

MIT, NVIDIA

@mit-han-lab
MIT HAN Lab mit-han-lab
Efficient AI Computing. PI: Song Han

MIT

@jph00
Jeremy Howard jph00
CEO / R&D @ answer.ai; Founder fast.ai

@answerdotai Brisbane, Australia

@geohot
George Hotz geohot
We will commoditize the petaflop.

@commaai @tinygrad San Diego, CA

@karpathy
Andrej karpathy
I like to train Deep Neural Nets on large datasets.

Stanford