MIT News Artificial Intelligence

The Institute welcomes its first cohort of QMIT Fellows this fall to advance interdisciplinary quantum research.

With millions of users across the world, Julia has been used to conduct cutting-edge research and to design new drugs, jet engines, heat pumps, and more.

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

The “CrysVCD” tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs.

A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.

New MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that’s essential to fertilizer and other products.

A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.

In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.

“GeoPT” helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.

By focusing on electrolytes, MIT scientists are making sodium-metal batteries a more practical energy storage option.

Study finds non-experts deferred to LLM-based diagnostic assistance, even when it was wrong, while clinicians caught AI errors.

An expert in machine learning, statistics, and computation, Rakhlin succeeds Professor Ankur Moitra.

Director of CSAIL and MIT professor honored for her contributions to robotics, artificial intelligence, and autonomous systems.

MIT students and postdocs discussed science funding and research with policymakers in Washington during the MIT Science Policy Initiative’s annual Congressional Visit Days.

The visionary PhysioNet platform launched 25 years ago, based on a system developed at MIT in the 1970s. It has become one of the most comprehensive biomedical and clinical data repositories in existence.

Initial research projects advance national priorities across natural resources, manufacturing, nuclear physics, and more.

Known for his clear and elegant writing style, Bertsekas shaped fields from control and optimization to large-scale computation and artificial intelligence.

Assistant Professor Bailey Flanigan has arrived at complex computational methods for helping democracy thrive.

Researchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.

Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI’s neural network before their chatbot ever says a word.