School of Engineering
School of Engineering

School of Engineering

Artificial Intelligence Computer science and technology Electrical engineering and computer science (EECS) Ethics Faculty Health Care Health sciences and technology Institute for Medical Engineering and Science (IMES) Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Profile Race and gender School of Engineering

Improving health, one machine learning system at a time

Marzyeh Ghassemi works to ensure health-care models are trained to be robust and fair.

Aeronautical and astronautical engineering Artificial Intelligence Climate change computer-vision Disaster response EAPS Earth and atmospheric sciences Environment Hurricanes Imaging machine learning Media Lab NASA Research Satellites School of Engineering School of Science Science communications Weather

New AI tool generates realistic satellite images of future flooding

The method could help communities visualize and prepare for approaching storms.

Algorithms Artificial Intelligence Civil and environmental engineering Computer science and technology IDSS Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering

MIT researchers develop an efficient way to train more reliable AI agents

The technique could make AI systems better at complex tasks that involve variability.

Algorithms Artificial Intelligence Climate change Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Environment MIT Schwarzman College of Computing Plants Research School of Engineering Sustainability Urban studies and planning

Advancing urban tree monitoring with AI-powered digital twins

The Tree-D Fusion system integrates generative AI and genus-conditioned algorithms to create precise simulation-ready models of 600,000 existing urban trees across North America.

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

Can robots learn from machine dreams?

MIT CSAIL researchers used AI-generated images to train a robot dog in parkour, without real-world data. Their LucidSim system demonstrates generative AI’s potential for creating robotics training data.

Alumni/ae Artificial Intelligence Awards, honors and fellowships Brain and cognitive sciences Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Education, teaching, academics Electrical engineering and computer science (EECS) Global Mathematics McGovern Institute Mechanical engineering MIT Schwarzman College of Computing MIT Sloan School of Management School of Engineering School of Humanities Arts and Social Sciences School of Science Students

Four from MIT named 2025 Rhodes Scholars

Yiming Chen ’24, Wilhem Hector, Anushka Nair, and David Oluigbo will start postgraduate studies at Oxford next fall.

Artificial Intelligence Chemical engineering Cleaner industry Climate change Department of Energy (DoE) DMSE Energy Energy storage Faculty Fusion Government MIT Energy Initiative Nuclear power and reactors Policy Renewable energy School of Architecture and Planning School of Engineering Special events and guest speakers Startups Students Sustainability Urban studies and planning

Ensuring a durable transition

Progress on the energy transition depends on collective action benefiting all stakeholders, agreed participants in MITEI’s annual research conference.

Artificial Intelligence Arts Civil and environmental engineering Computer science and technology Design machine learning Materials science and engineering Mechanical engineering Research School of Engineering

Graph-based AI model maps the future of innovation

An AI method developed by Professor Markus Buehler finds hidden links between science and art to suggest novel materials.

Algorithms Artificial Intelligence Computer science and technology Data Design Human-computer interaction Interview machine learning Mechanical engineering MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research School of Engineering

3 Questions: Inverting the problem of design

MIT and IBM researchers are creating linkage mechanisms to innovate human-AI kinematic engineering.

Algorithms Artificial Intelligence Biological engineering Broad Institute Cells Computer science and technology Data Electrical engineering and computer science (EECS) Genetic engineering Genetics IDSS Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research School of Engineering

A causal theory for studying the cause-and-effect relationships of genes

By sidestepping the need for costly interventions, a new method could potentially reveal gene regulatory programs, paving the way for targeted treatments.