FILTER
Selected:

Using AI to mitigate the growing environmental threat of data centers

October 14, 2026

By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.

MIT named the nation’s top university by U.S. News for 2026-27

September 22, 2026

The Institute’s undergraduate engineering, computer science, and economics programs are No. 1; its business program is No. 2.

Systems of success

September 17, 2026

In “Hack Yourself”, students apply computer science strategies to personal growth goals.

When AI art has no author: Study finds generated images often can’t be traced to training data

August 19, 2026

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.

Solving AI’s ‘Last Mile’ Problem

August 5, 2026

Before joining MIT in 2025, Assistant Professor Omar Khattab had already created several transformative tools that made their mark on industry.

Daniela Rus receives Bavarian Minister-President’s High-Tech Prize

July 28, 2026

Awarded jointly by the Bavarian State Government and the Bavarian Academy of Sciences and Humanities, it is the most highly endowed award for technology and engineering in Germany.

AI agents create virtual playgrounds to help robots get crucial training data

July 14, 2026

“SceneSmith” system uses collaborative AI agents to create realistic 3D environments of places like kitchens, hotels, and living rooms, where robots can simulate everyday chores.

Improving the speed and energy-efficiency of AI agents

July 2, 2026

A new system, known as Murakkab, optimizes the design and deployment of multistep workflows that power AI applications.

Startup helps retailers track their products in real-time

June 11, 2026

Using technology invented at MIT, Cartesian’s system for locating objects could also find uses in manufacturing, logistics, and robotics.

Student Spotlight: Nathaniel Morgan

June 3, 2026

A seasoned undergraduate researcher, Nathaniel Morgan has participated in UROP since his first year, and is now working with Omar Khattab on improving the capabilities of large language models.