I think you’re right about the goal. I question whether it’s a good goal. I think a lot about overly-automated science. Too many papers that too few people read, and a loss of science as a process rather than a series of outcomes. I agree with the Field medalists’ take: mathan…
Who's Who of AI
Michelle Greene
Why they matter
Researcher with public evidence across AI research.
- AI signals
- 1 past 30d
- Sources
- 1 distinct domains
- Discussões
- 4 past 30d
- Latest signal
- 9d ago
Cognitive scientist at Barnard College; visual categorization; EEG; eye movements; machine learning; childless cat fae; will ask to see a picture of your pet. Opinions my own. They/she. 🏳️🌈
What they're sharing
Declaration — Math and AI mathandai.org
Places in the Wild: A Large, High-Resolution RAW Photograph Dataset for Ecologically Valid Vision Research arxiv.org
Articles & links
🚨New dataset just dropped🚨 Introducing Places in the Wild: 67,000 RAW-format photographs (45 mpix) densely sampled from 810 places (260 basic-level categories). This is 11x the number of pixels in ImageNet! Preprint is here: arxiv.org/abs/2606.02481 1/
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