DataDIVER is a new method described in a preprint from Google DeepMind Neuroscience Lab and collaborators that aims to automatically discover concise computational models from data, surface mechanistic hypotheses, and produce clear, testable experimental predictions; the preprint was announced on Twitter/X by @kevinjmiller10 on 2026-06-03.
DataDIVER is presented as a method that discovers concise computational models from data, surfacing new mechanistic ideas and generating clear, testable predictions for future experiments.
Computational models are a key part of science but discovering new ones is hard!
DataDIVER discovers concise models from data, surfacing new mechanistic ideas and generating clear predictions for future experiments
Preprint from @GoogleDeepMind Neuroscience Lab + collaborators