Research overviews, technical explainers, and longer-form updates from the group.
An overview of In-Context Operator Networks (ICON), why we view them as a path toward scientific foundation models, and how the recent papers in the group fit together.
Sharing our observations on how AI is reshaping the software development paradigm, along with our reflections and practices within this wave.
AI can do more and more computation for us, but computation is not the same as information. The value of humans will increasingly concentrate on collecting information that AI cannot easily obtain, and compressing that information into problems that AI can use.
A short account of the research path leading to the current work, from uncertainty quantification and Bayesian inference for PDEs, to optimal transport, particle dynamics, and eventually ICON.