Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits, and suddenly, a molecule makes a promising new medicine. Normally, creating better ...
The GPCRact AI model goes beyond AlphaFold3 by predicting whether drugs functionally activate G-protein-coupled receptors ...
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 ...
Machine learning, a type of artificial intelligence, has many applications in science, from finding gravitational lenses in the distant universe to predicting virus evolution. Hubble Space Telescope ...
Machine learning is a significant component of artificial intelligence (AI), integrated into many fields, including data analytics and technology. The drug discovery and development field has been ...
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, ...
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.
Richard C. Larson, Mitsui Professor, explores the role of operations research in everyday life and the concept of model ...
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 ...
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 ...
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