OpenThoughts: Training Highly Capable Open-Source Agentic Models
A collaborative effort led by IFML researchers has produced an open dataset, language model, and training pipeline designed to help scientists build more capable and transparent AI agents—systems that can reason through complex tasks, use software tools, and interact with digital environments.
News
IFML Researcher Jerry Li Awarded 2026 Gödel Prize for Landmark Machine Learning Breakthrough
IFML researcher Jerry Li has been awarded the 2026 Gödel Prize, one of the highest honors in theoretical computer science, for foundational work that changed how modern machine learning systems handle imperfect, noisy, and corrupted data.
Patented Protein Design
Finding new designs for medications involves years of trial and error in labs, but now artificial intelligence models developed at UT are helping scientists arrive at viable solutions much faster by eliminating guesswork.
IFML's signature Seminar Series: Spring 2026 Recap
This spring 2026, IFML hosted its Semester Seminar Series given by speakers from four academic institutions, including two from Yale, and one research laboratory.