School of Engineering
School of Engineering

School of Engineering

Algorithms Artificial Intelligence Business and management Computer science and technology Data Electrical engineering and computer science (EECS) Faculty IDSS Innovation and Entrepreneurship (I&E) Laboratory for Information and Decision Systems (LIDS) MIT intellectual property MIT Schwarzman College of Computing Profile Research School of Engineering Startups

Helping AI models to meet the real world

Through research and entrepreneurship, Professor Devavrat Shah is helping to design methods that can handle constant decision-making using limited computational resources.

3-D printing Aeronautical and astronautical engineering Aircraft Artificial Intelligence Classes and programs Contests and academic competitions Design Education, teaching, academics Independent Activities Period Lincoln Laboratory Logistics machine learning Mechanical engineering Robotics School of Engineering STEM education Students Undergraduate

Can AI build a jet engine? JARVIS Challenge tests role of AI copilots in tough-tech engineering

MIT students designed, built, and tested a jet engine with AI copilots, assessing AI’s usefulness in developing high-performance aerospace systems.

3-D Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research Robotics School of Engineering Simulation

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

“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.

Algorithms Artificial Intelligence Computer science and technology Ethics Human-computer interaction Institute for Medical Engineering and Science (IMES) Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Privacy Public health Research School of Engineering

New method aims to keep kids safe from illegal AI-generated content

Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs.

Artificial Intelligence Autonomous vehicles Bioinspiration Cities Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Infrastructure machine learning MIT Schwarzman College of Computing MIT Sea Grant Research Robotics School of Architecture and Planning School of Engineering Senseable City Lab Transportation Urban studies and planning

Tiny robot boats build floating structures

MIT researchers developed FloatForm, a swarm of small aquatic robots that snap together like ants forming a raft, assembling into reconfigurable structures on the water.

Artificial Intelligence Awards, honors and fellowships chemistry Contests and academic competitions Electrical engineering and computer science (EECS) Ethics Harvard-MIT Health Sciences and Technology Human-computer interaction IDSS Law MIT Schwarzman College of Computing Neuroscience School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Students Technology and policy Technology and society

Toward a future that preserves benefits of neurotechnology for all

PhD student Rachel Sava, winner of the Envisioning the Future of Computing Prize, explores transformative improvements and dystopian risks of neural technology.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) Human-computer interaction Interview machine learning MIT Schwarzman College of Computing School of Engineering

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.

Artificial Intelligence Arts Electrical engineering and computer science (EECS) Electronics Graduate, postdoctoral Human-computer interaction machine learning Media Lab MIT Schwarzman College of Computing Music Music and theater arts Music technology Performances School of Engineering School of Humanities Arts and Social Sciences Special events and guest speakers

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.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Automation Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing Natural language processing Research Robotics School of Engineering

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.

Artificial Intelligence Bioengineering and biotechnology Brain and cognitive sciences Broad Institute Comparative Media Studies/Writing Computer Science and Artificial Intelligence Laboratory (CSAIL) Curiosity Funding Health sciences and technology Innovation and Entrepreneurship (I&E) Mathematics MIT Schwarzman College of Computing MIT Sloan School of Management Physics Picower Institute President Sally Kornbluth Quantum Computing Research School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Space exploration

MIT in the media: Exploring how curiosity-driven science is an essential ingredient in America’s success

“Scientific American” showcases the history and future of America’s scientific engine, highlighting promising young scientists and icons at MIT and beyond.