Physics-informed learning by IITM professor slashes AI simulation compute costs
ravi_iitm · x · 2026-11-12
IITM's WSAI program highlights Prof. Balaji Srinivasan's research: by embedding physics into the learning process, he achieves identical simulation results at a fraction of the compute and energy. The work has 400+ citations and growing industry adoption, positioned as a cost saver amid skyrocketing AI compute prices.
More from Infra
- Baidu ships Kunlunxin M100 inference chip, M300 flagship slated for 2027 — Baidu_Inc · 2026-11-12
- Latent Sparse Attention clusters KV values for 70x speedup over full attention — bendee983 · 2026-11-12
- e-means beats k-means in 1.4 epochs, delivering 10-45x GPU speedups on embeddings — pmttyji · 2026-11-12
- Five AWS re:Invent Predictions: Bedrock Agents and Trainium Take Center Stage — DavidLinthicum · 2026-11-12
- FlagOS × MiniCPM5-2B inference throughput challenge opens with ¥30K prizes — _jaydeepkarale · 2026-11-12
- Vera Rubin servers start shipping as Foxconn posts record NT$77.5B Q3 profit — ns123abc · 2026-11-12