Researchers introduced EquiFiLM, a lightweight extension that adds continuous external conditioning to equivariant foundation machine learning force fields via per-layer Feature-wise Linear Modulation…
ReactionAtlas, a machine-learned tool, constructs chemical reaction networks from seed molecules without traditional manual input, mapping approximately 47,000 reactions among 12,000 compounds. The to…
Researchers compared six offline reinforcement-learning methods for distilling reasoning from large language models into smaller ones, finding that SFT, RFT, and RIFT produce nearly identical weight u…
Ångstrom AI (YC S24), in collaboration with the University of Cambridge and AstraZeneca, released CSP-MACE-Å, a machine learning model that achieves DFT accuracy for crystal structure prediction with …
Distribution Fine Tuning (DFT) is a new post-training algorithm designed to correct the formulaic and repetitive writing patterns common in standard supervised fine-tuned (SFT) language models. The me…