“Our group is on the hunt for dark matter and the reasons neural networks work.”In its own words: kahn-group.physics.utoronto.ca
A theoretical physics group at the University of Toronto working on dark matter detection and on the theoretical physics of why neural networks work.
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Received $119k from 1 funder
Led by Yonatan (Yoni) Kahn (PI)Checked 26 Oct 2026
Money flows
Where its money came from and where it went. Pick years and what to show; hover a box or ribbon for details, click one to focus it, click the background to see everything.
All grants
1 grant totalling $119k, newest first.
2026 1 grant · $119k
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| Feb 2026 | Canadian AI Safety Institute (CAISI) Research Program at CIFAR | $119k | CAISI co-funding of an Alignment Project round 1 grant: Scaling laws, data distributions, and learning dynamics: simulated high-energy physics data as a benchmark for data in the wild. CA$165,000 for one year (possible second year), at CA$1 = US$0.72; CIFAR's share only, the Alig source |