Mathematics

Artificial IntelligenceMachine Learning

Exposing biases, moods, personalities, and abstract concepts hidden in large language models

A new method developed at MIT could root out vulnerabilities and improve LLM safety and performance.

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Artificial IntelligenceMachine Learning

Study: Platforms that rank the latest LLMs can be unreliable

Removing just a tiny fraction of the crowdsourced data that informs online ranking platforms can significantly change the results.

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Artificial Intelligence

“This is science!” – MIT president talks about the importance of America’s research enterprise on GBH’s Boston Public Radio

MIT faculty join The Curiosity Desk to discuss football, math, Olympic figure skating, AI and the quest to cure ovarian cancer.

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Artificial Intelligence

Katie Spivakovsky wins 2026 Churchill Scholarship

The MIT senior will pursue a master’s degree at Cambridge University in the U.K. this fall.

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Artificial IntelligenceMachine Learning

The technique can help scientists in economics, public health, and other fields understand whether to trust the results of their experiments.

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Artificial Intelligence

MIT affiliates win AI for Math grants to accelerate mathematical discovery

Department of Mathematics researchers David Roe and Andrew Sutherland seek to advance automated theorem proving; four additional MIT alumni also awarded.

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Artificial IntelligenceMachine Learning

DOE selects MIT to establish a Center for the Exascale Simulation of Coupled High-Enthalpy Fluid–Solid Interactions

The research center, sponsored by the DOE’s National Nuclear Security Administration, will advance the simulation of extreme environments, such as those in hypersonic flight and atmospheric reentry.

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Artificial Intelligence

Researchers glimpse the inner workings of protein language models

A new approach can reveal the features AI models use to predict proteins that might make good drug or vaccine targets.

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Artificial Intelligence

MIT tool visualizes and edits “physically impossible” objects

By visualizing Escher-like optical illusions in 2.5 dimensions, the “Meschers” tool could help scientists understand physics-defying shapes and spark new designs.

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Artificial IntelligenceMachine Learning

The CodeSteer system could boost large language models’ accuracy when solving complex problems, such as scheduling shipments in a supply chain.

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