MIT News Artificial Intelligence

FragFold, developed by MIT Biology researchers, is a computational method with potential for impact on biological research and therapeutic applications.

ReviveMed uses AI to gather large-scale data on metabolites — molecules like lipids, cholesterol, and sugar — to match patients with therapeutics.

A new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.

Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.

Alumnus is the first major donor to support the building since Stephen A. Schwarzman’s foundational gift.

In a new MIT course co-taught by EECS and philosophy professors, students tackle moral dilemmas of the digital age.

Accenture Fellow Shreyaa Raghavan applies machine learning and optimization methods to explore ways to reduce transportation sector emissions.

A deep neural network called CHAIS may soon replace invasive procedures like catheterization as the new gold standard for monitoring heart health.

New faculty member Kaiming He discusses AI’s role in lowering barriers between scientific fields and fostering collaboration across scientific disciplines.

MIT researchers developed a new approach for assessing predictions with a spatial dimension, like forecasting weather or mapping air pollution.

Assistant Professor Sara Beery is using automation to improve monitoring of migrating salmon in the Pacific Northwest.

“We need to both ensure humans reap AI’s benefits and that we don’t lose control of the technology,” says senior Audrey Lorvo.

The consortium will bring researchers and industry together to focus on impact.

By automatically generating code that leverages two types of data redundancy, the system saves bandwidth, memory, and computation.

A new approach, which takes minutes rather than days, predicts how a specific DNA sequence will arrange itself in the cell nucleus.

MIT CSAIL Principal Research Scientist Una-May O’Reilly discusses how she develops agents that reveal AI models’ security weaknesses before hackers do.

Projects from MIT course 4.043/4.044 (Interaction Intelligence) were presented at NeurIPS, showing how AI transforms creativity, education, and interaction in unexpected ways.

Sometimes, it might be better to train a robot in an environment that’s different from the one where it will be deployed.

Associate Professor Luca Carlone is working to give robots a more human-like awareness of their environment.

Station A, founded by MIT alumni, makes the process of buying clean energy simple for property owners.