Wondered what it would take for AI agents to design and test new theories for fundamental physics, just like a physicist? We show how, an example in neutrino model building! Paper with Jake, Max, Victoria, Jason, at UCI who led crucial aspects, & others. arxiv.org/html/2506.0808…

A new paper on an issue that has been discussed for more than a century -- how can fundamental biophysical constraints on nutrient transport be overcome to solve one of the most significant challenges associated with the evolution of multicellularity? science.org/doi/10.1126/sc…

How do animals learn new rules? By systematically testing diff. behavioral strategies, guided by selective attn. to rule-relevant cues: rdcu.be/etlRV Akin to in-context learning in AI, strategy selection depends on the animals' "training set" (prior experience).

A UT undergrad wrote a very interesting paper that uses neural cellular automata to solve some of the Abstraction and Reasoning Corpus (ARC) AGI benchmark problems. NaturalSciences @ UT arxiv.org/abs/2506.15746

Honored to attend Spain’s Premio Nacional de Investigación today as jury member, celebrating top scientific talent.Awards presented by King Felipe VI and the Ministry of Science. A proud day for 🇪🇸 research! #Science #Research #Spain Diana Morant Eva Ortega-Paíno Academia Joven de España

1/10 ML can solve PDEs – but precision🔬is still a challenge. Towards high-precision methods for scientific problems, we introduce BWLer 🎳, a new architecture for physics-informed learning achieving (near-)machine-precision (up to 10⁻¹² RMSE) on benchmark PDEs. 🧵How it works:

Excited to share that we have received significant funding from the Wellcome for a new interdisciplinary consortium project on #cilia coordination and function across scales and organisms! 🎉🥂 news.exeter.ac.uk/living-systems…