William Gilpin

We present Panda: a foundation model for nonlinear dynamics pretrained on 20,000 chaotic ODE discovered via evolutionary search. Panda zero-shot forecasts unseen ODE best-in-class, and can forecast PDE despite having never seen them during training (1/8) arxiv.org/abs/2505.13755

Our new preprint compares naïve baselines, network models (incl. PLRNN-based SSMs), and Transformers on 3x40‑day EMA+EMI datasets. PLRNNs gave the most accurate forecasts, yielded interpretable networks, and flagged “sad” & “down” as top leverage points. doi.org/10.1101/2025.0…

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

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:

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 @DianaMorantR @EvaOrtegaPaino @academia_joven

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. @TexasScience arxiv.org/abs/2506.15746

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 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…