~/talk

AI in the physical world: from observation to discovery

on YouTube 20m
Talkat Berlin Buzzwords 2026 · 2026-06-07..06-09· [machine-learning]

speakers

name:Dmitriy Kostunin
links:none on file
name:Julian von Hoerschelmann-Schliwinski
links:none on file

resources

video:https://youtu.be/Tufem7WA7T4
slides:none on file

summary

Next‑generation gamma‑ray array spans 50 telescopes in two hemispheres, producing 10 ns camera exposures and about 6 PB/year of raw data; engineers use deep learning to reconstruct air‑shower events and LLMs/agents for code, documentation and pipeline design. A reproduction experiment replaces a human pipeline with an agent that iterates models (random forests baseline then agent improved classifier), showing stronger automated tuning but persistent simulation‑to‑real mismatches and brittle operational integration.

AI-written summary · about

chapters (6)

  1. 0:00Introduction and background
  2. 2:13AI in scientific process
  3. 10:42LLMs in physics research
  4. 14:40AI replacing scientists
  5. 16:49Future of AI in science
  6. 19:01Q&A

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