Richard C. Larson, Mitsui Professor, explores the role of operations research in everyday life and the concept of model thinking ...

Higher education stands at a defining moment. For decades, universities have been shaped by a dual mission to disseminate knowledge through “teaching” and to create it through “research.” Too often, ...

The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...

An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new battery concepts. With information from just 50 cycles, the tool—developed at ...

In developing drugs using a platform that joins physics with machine learning, Schrödinger sees more than a passing resemblance to the studio whose Toy Story and other computer-generated movies ...

Image: John Tredennick, Merlin Search Technologies. Between November 12th and November 24th, all three major AI labs released new flagship models. OpenAI shipped GPT-5.1. Google launched Gemini 3 Pro.

Something to look forward to: A new tool could dramatically accelerate how scientists design and test batteries. Researchers at the University of Michigan have developed a machine-learning system that ...

Drug discovery pipelines are notorious for being costly, slow, and failure-prone, leading to AI and machine learning becoming more commonplace to accelerate progress and improve outcomes. Currently, ...