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

Electrical engineering and computer science (EECS)

Artificial Intelligence Computer science and technology Data Electrical engineering and computer science (EECS) IDSS Laboratory for Information and Decision Systems (LIDS) machine learning Mathematics MIT Schwarzman College of Computing MIT-IBM Watson AI Lab National Science Foundation (NSF) Research School of Engineering

Study: Platforms that rank the latest LLMs can be unreliable

Removing just a tiny fraction of the crowdsourced data that informs online ranking platforms can significantly change the results.

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

Helping AI agents search to get the best results out of large language models

EnCompass executes AI agent programs by backtracking and making multiple attempts, finding the best set of outputs generated by an LLM. It could help coders work with AI agents more efficiently.

Administration Artificial Intelligence Computer science and technology Education, teaching, academics Electrical engineering and computer science (EECS) Ethics Faculty Humanities MIT Schwarzman College of Computing MIT Sloan School of Management Philosophy School of Engineering School of Humanities Arts and Social Sciences Technology and policy

Brian Hedden named co-associate dean of Social and Ethical Responsibilities of Computing

He joins Nikos Trichakis in guiding the cross-cutting initiative of the MIT Schwarzman College of Computing.

Alumni/ae Artificial Intelligence Awards, honors and fellowships Center for Brains Minds and Machines Computer graphics Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Electrical engineering and computer science (EECS) Faculty MIT Schwarzman College of Computing MIT Siegel Family Quest for Intelligence MIT-IBM Watson AI Lab School of Engineering

Antonio Torralba, three MIT alumni named 2025 ACM fellows

Torralba’s research focuses on computer vision, machine learning, and human visual perception.

Artificial Intelligence Classes and programs Collaboration Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Education, teaching, academics Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing Philosophy School of Engineering School of Humanities Arts and Social Sciences Technology and society

The philosophical puzzle of rational artificial intelligence

As AI technology advances, a new interdisciplinary course seeks to equip students with foundational critical thinking skills in computing.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Health Care Institute for Medical Engineering and Science (IMES) Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Research School of Engineering Technology and society

Why it’s critical to move beyond overly aggregated machine-learning metrics

New research detects hidden evidence of mistaken correlations — and provides a method to improve accuracy.

Artificial Intelligence Brain and cognitive sciences Center for Brains Minds and Machines Electrical engineering and computer science (EECS) Giving MIT Schwarzman College of Computing MIT Siegel Family Quest for Intelligence Neuroscience Research School of Engineering School of Science

At MIT, a continued commitment to understanding intelligence

With support from the Siegel Family Endowment, the newly renamed MIT Siegel Family Quest for Intelligence investigates how brains produce intelligence and how it can be replicated to solve problems.

3-D printing Artificial Intelligence Center for Bits and Atoms Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Design Electrical engineering and computer science (EECS) Fabrication Invention machine learning MIT Schwarzman College of Computing School of Engineering

Generative AI tool helps 3D print personal items that sustain daily use

“MechStyle” allows users to personalize 3D models, while ensuring they’re physically viable after fabrication, producing unique personal items and assistive technology.

Algorithms Alternative energy Artificial Intelligence Batteries Climate change Computer science and technology Electrical engineering and computer science (EECS) Energy Energy storage Faculty Interview Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Pollution Research School of Engineering Sustainability Sustainable computing

3 Questions: How AI could optimize the power grid

While the growing energy demands of AI are worrying, some techniques can also help make power grids cleaner and more efficient.

Artificial Intelligence Broad Institute Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology cybersecurity Electrical engineering and computer science (EECS) Ethics Health Care Health sciences and technology Human-computer interaction Institute for Medical Engineering and Science (IMES) Jameel Clinic Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Privacy Public health Research School of Engineering Technology and society

MIT scientists investigate memorization risk in the age of clinical AI

New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.