Deep computing for deep science. UChicago & Argonne Nat Lab. Work with amazing people. Globus. AI, HPC, robotics for discovery. And sailing. And books. And music. And beauty.
Ian Foster
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It's always a treat to read Ted Chiang's thoughts on AI.
www.theatlantic.com/philosophy/2...
Cartoon by Barry Blitt
The SciFM conversation is shifting from models to systems. The interesting questions this year were increasingly about how to connect agents, instruments, data, simulations, and compute into effective discovery ecosystems.
cs.uchicago.edu/news/scifm-2... @ramanathanlab.bsky.social
"Science is not simply a sequence of tasks that can be optimized....The scientific system thrives on inefficiency: redundant efforts, failed attempts, and divergent paths. These are not costs to be eliminated but sources of discovery."
Excellent essay!
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www.science.org/doi/10.1126/...
Taken to its logical conclusion, this line of thinking is absurd—and damning.
Life hack:
Who can afford monogramed shirts these days? Simply get your initials tattooed on your chest and cut a little hole out of all your shirts in the appropriate spot.
My god, Octavia Butler, just miss ONCE
Walking onto the University of Chicago campus this May, visitors to SciFM 2026 could sense the electric anticipation. As the third installment of the Scientific Foundation Models conference series unf...
Progress in the use of artificial intelligence (AI) to advance scientific discovery has made it increasingly realistic to envision automated “end-to-end science” (ETES) systems: integrated pipelines t...
AI-Accelerated Materials Discovery
Don’t miss this week’s entry in the AI & Scientific Discovery Online Seminar AI for Battery Series!
Featuring Rajeev Assary, Group Leader of the Chemist Molecular Materials Group at Argonne National Laboratory
ai-scientific-discovery.github.io
Econ Analytica
Melanie Mitchell
It took Globus 10+ years to surpass the 1 EB mark for data transfers. Well today we have now passed the 4 EB mark. Check it out on globus.org.
#research data management
Here’s one little-h hypothesis: even for folks doing reasonably well in this strange economy, they can see the worst people in the world just raking in money in the ugliest of ways; they know they’ll never be able to compete with that & that whatever they have will be worth less & less over time.
