Proud to have contributed to the @UN @ScienceBoard_UN scientific brief on AI and climate modeling The last few years has seen tremendous progress in AI-weather modeling, starting with our launch of FourCastNet, the first high-resolution AI weather model. Climate modeling with
@animaanandkumar
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Paper on LLM Psychometric Evaluation Selected for Oral at ICML
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Our paper, “Rethinking Psychometric Evaluation of LLMs: When and Why Self-Reports Predict Behavior,” has been selected for Oral Presentation at CTB @icmlconf * Paper: https://
arxiv.org/abs/2606.12730
* Website: https://
psychology-of-ai.github.io/psychometric-e
valuation.html
… * Code: https://
github.com/psychology-of-
AI/Rethinking-Pyschometric-Eval-LLMs
… A central question -
Neural operator for end-to-end ultrasound lung aeration reconstruction
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Check out our work on end-to-end ultrasound using neural operator for lung aeration https://t.co/CV3Qnh3qCk
— Prof. Anima Anandkumar (@AnimaAnandkumar) 18 juin 2026
We directly reconstructs lung aeration maps from RF data, bypassing the need for traditional beamformers and indirect interpretation of B-mode images. https://t.co/FDSFaOpYOhCheck out our work on end-to-end ultrasound using neural operator for lung aeration https://
pmc.ncbi.nlm.nih.gov/articles/PMC11
722513/
… We directly reconstructs lung aeration maps from RF data, bypassing the need for traditional beamformers and indirect interpretation of B-mode images. -
Neural Operators advance from fluid dynamics to weather and fusion
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This is something I have been emphasizing since we started our work on Neural Operators. We very quickly went from simple fluid dynamics benchmarks to hard problems like building the first high-resolution AI-weather model, FourCastNet, and modeling turbulence in nuclear fusion.
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TorchLean Framework Released for Verified Neural Network Software
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TorchLean codebase is now available! TorchLean is a Lean 4 framework for verified neural-network software. It supports typed tensors, runnable training, graph IRs, verified autograd, Float32/IEEE semantics, CROWN / IBP-style verification, certificate checking, PyTorch interop,
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Physics-Informed Neural Operators: Learning General PDE Solvers
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Physics-Informed Neural Operators: Learning The Solver, Not Just One Solution
— Mathelirium (@mathelirium) 23 mars 2026
Our PINN scene learned one solution field for one PDE setup. A Physics-Informed Neural Operator learns the map from input fields, like material coefficients or source terms, to the full solution across… pic.twitter.com/bAtfX2ashePhysics-Informed Neural Operators: Learning The Solver, Not Just One Solution Our PINN scene learned one solution field for one PDE setup. A Physics-Informed Neural Operator learns the map from input fields, like material coefficients or source terms, to the full solution across a whole family of PDE problems. So, the goal is no longer just one approximate answer, but a reusable solver-shaped object guided by the physics itself.
→ View original post on X — @animaanandkumar, 2026-03-23 14:45 UTC
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AI Applications in Weather, Climate, Food, and Disease Modeling
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🔬 Weekly Science Long Read 🌍 🤖 @Caltech with @AnimaAnandkumar, new @ScienceBoard_UN member: AI can model weather, climate, food, and disease. For more, read the Board's Brief on Verification of Frontier AI. 🌐 Article: tinyurl.com/y2b24hbk 📘 Brief: tinyurl.com/4239b9fn
→ View original post on X — @animaanandkumar, 2026-03-19 13:00 UTC
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Anima Anandkumar Appointed to UN Scientific Advisory Board
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My interview with @Caltech news after being selected for UN scientific advisory board caltech.edu/about/news/anima…
→ View original post on X — @animaanandkumar, 2026-03-16 18:36 UTC
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Anima Anandkumar Joins UN Scientific Advisory Board
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✨ Introducing the members of @ScienceBoard_UN! 🌍 @AnimaAnandkumar is the Bren Professor at @Caltech, previously at @nvidia and @awscloud. She is a leading voice on artificial intelligence, machine learning, and AI-for-science. 📣 Read more: tinyurl.com/2nb4w55s
→ View original post on X — @animaanandkumar, 2026-03-12 13:00 UTC
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Anima Anandkumar elected to UN Secretary-General’s Scientific Advisory Board
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AI2050 Fellow @AnimaAnandkumar was elected to the @UN Secretary-General’s Scientific Advisory Board, advising UN leadership on emerging science & technology. She joins @Yoshua_Bengio and @DAcemogluMIT—three Schmidt Sciences–supported researchers now serve: buff.ly/1rxWqYa
→ View original post on X — @animaanandkumar, 2026-03-10 11:45 UTC