School of Engineering
School of Engineering

School of Engineering

Algorithms Artificial Intelligence Computer science and technology Electrical engineering and computer science (EECS) Faculty Game theory Human-computer interaction Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Profile School of Engineering

Games people — and machines — play: Untangling strategic reasoning to advance AI

Assistant Professor Gabriele Farina mines the foundations of decision-making in complex multi-agent scenarios.

Alumni/ae Alzheimer's Artificial Intelligence Brain and cognitive sciences Disease Harvard-MIT Health Sciences and Technology Health Care Health sciences and technology Innovation and Entrepreneurship (I&E) Institute for Medical Engineering and Science (IMES) machine learning Mental health Neuroscience Parkinson's School of Engineering School of Science Startups

Beacon Biosignals is mapping the brain during sleep

Founded by Jake Donoghue PhD ’19 and former MIT researcher Jarrett Revels, the company is creating an AI-driven platform to help diagnose and treat disease.

Artificial Intelligence Computer science and technology computer-vision Jameel Clinic Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering Technology and society

Solving the “Whac-a-mole dilemma”: A smarter way to debias AI vision models

A new debiasing technique called WRING avoids creating or amplifying biases that can occur with existing debiasing approaches.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology cybersecurity Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing Mobile devices Privacy Research School of Engineering

Enabling privacy-preserving AI training on everyday devices

A new method could bring more accurate and efficient AI models to high-stakes applications like health care and finance, even in under-resourced settings.

Algorithms Artificial Intelligence Computer science and technology Data Electrical engineering and computer science (EECS) Energy Environment machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research School of Engineering Sustainability Sustainable computing Technology and society

A faster way to estimate AI power consumption

The “EnergAIzer” method generates reliable results in seconds, enabling data center operators to efficiently allocate resources and reduce wasted energy.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Contests and academic competitions Data Electrical engineering and computer science (EECS) machine learning Mathematics MIT Schwarzman College of Computing National Science Foundation (NSF) School of Engineering

MIT scientists build the world’s largest collection of Olympiad-level math problems, and open it to everyone

New dataset of 30,000-plus competition math problems from 47 countries gives AI researchers a harder test — and students worldwide a better training ground.

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

Teaching AI models to say “I’m not sure”

A new training method improves the reliability of AI confidence estimates without sacrificing performance, addressing a root cause of hallucination in reasoning models.

Artificial Intelligence Astronomy and astrophysics Awards, honors and fellowships chemistry Computer Science and Artificial Intelligence Laboratory (CSAIL) Education, teaching, academics Electrical engineering and computer science (EECS) Faculty machine learning MIT Schwarzman College of Computing Natural language processing School of Engineering School of Science

Jacob Andreas and Brett McGuire named Edgerton Award winners

The associate professors of EECS and chemistry, respectively, are honored for exceptional contributions to teaching, research, and service at MIT.

Alumni/ae Artificial Intelligence Bioengineering and biotechnology Biological engineering Drug development Innovation and Entrepreneurship (I&E) machine learning Proteins School of Engineering Startups

Bringing AI-driven protein-design tools to biologists everywhere

Founded by Tristan Bepler PhD ’20 and former MIT professor Tim Lu PhD ’07, OpenProtein.AI offers researchers open-source models and other tools for protein engineering.

Administration Artificial Intelligence Education, teaching, academics Ethics Faculty History History of MIT Human-computer interaction Interview MIT Schwarzman College of Computing Music technology Policy School of Engineering School of Humanities Arts and Social Sciences Technology and society

Q&A: MIT SHASS and the future of education in the age of AI

As the School of Humanities, Arts, and Social Sciences marks 75 years, Dean Agustín Rayo reflects on how AI is reshaping higher education and why SHASS disciplines continue to be central to MIT’s mission.