Electrical engineering and computer science (EECS)
Electrical engineering and computer science (EECS)

Q&A: What is agentic AI today, and what do we want it to be?

Computer scientist Phillip Isola cuts through the hype to explain how AI agents work and what the future might hold for this rapidly advancing technology.

Inaugural Music Technology Research Showcase celebrates work of new graduate program’s initial students

Associate Professor Anna Huang delivers the keynote address, “In Search of Human-AI Resonance,” to a capacity crowd.

LLMs help robots understand vague instructions and focus on key details

To help robots do chores in places like homes and factories, a new approach from MIT uses one language model to clarify users’ instructions, then another to ignore irrelevant info.

Improving the speed and energy-efficiency of AI agents

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

Exploring the societal impacts of AI

During the AI and Society Forum, leading MIT researchers examined critical questions about AI’s influence on employment and democracy.

New chip could help tiny robots traverse complex environments

Researchers combined an efficient algorithm with dedicated hardware to rapidly generate 3D maps for navigation using minimal memory and power.

In game theory, generalists sometimes win out over specialists

Researchers show that for certain kinds of games, an overlooked class of algorithms performs much better than expected.

Could AI tell you where you left your keys?

A new spatial memory system for robots efficiently captures details about the objects they see while exploring their environment.

When it comes to predicting people’s preferences, it pays to consider “the power of three”

MIT researchers provide a major upgrade to the nearly century-old idea of random utility models.

MIT affiliates win 2026 Hertz Foundation Fellowships

The fellowships in applied sciences, engineering, and mathematics recognize doctoral students who are pursuing solutions to the most pressing challenges in science and technology.