Scientists use generative AI to answer complex questions in physics
A new technique that can automatically classify phases of physical systems could help scientists investigate novel materials.
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A new technique that can automatically classify phases of physical systems could help scientists investigate novel materials.
Tamara Broderick uses statistical approaches to understand and quantify the uncertainty that can affect study results.
The MIT seniors will pursue graduate studies at Cambridge University.
The MIT senior will pursue graduate studies in technology policy at Cambridge University.
MIT researchers propose “PEDS” method for developing models of complex physical systems in mechanics, optics, thermal transport, fluid dynamics, physical chemistry, climate, and more.
This new method draws on 200-year-old geometric foundations to give artists control over the appearance of animated characters.
MIT students share ideas, aspirations, and vision for how advances in computing stand to transform society in a competition hosted by the Social and Ethical Responsibilities of Computing.
The inaugural SERC Symposium convened experts from multiple disciplines to explore the challenges and opportunities that arise with the broad applicability of computing in many aspects of society.
By applying a language model to protein-drug interactions, researchers can quickly screen large libraries of potential drug compounds.
A new machine-learning model makes more accurate predictions about ocean currents, which could help with tracking plastic pollution and oil spills, and aid in search and rescue.