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

Electrical engineering and computer science (EECS)

Algorithms Alumni/ae Artificial Intelligence Careers Collaboration Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) Graduate, postdoctoral Industry machine learning MIT Schwarzman College of Computing MIT-IBM Computing Research Lab MIT-IBM Watson AI Lab Quantum Computing School of Engineering

From MIT to IBM, expediting AI and quantum deployment

MIT affiliates engage with the MIT-IBM Computing Research Lab to bring rigorous theory to production systems.

Aeronautical and astronautical engineering Artificial Intelligence Autonomous vehicles 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 Research Robotics School of Engineering

System helps humans predict when self-driving cars will make mistakes

A new method, called CW-Net, translates the reasoning process of an autonomous vehicle’s AI system into understandable concepts that explain its behavior.

Algorithms Artificial Intelligence Awards, honors and fellowships Biology chemistry DMSE Electrical engineering and computer science (EECS) Graduate, postdoctoral Lincoln Laboratory Materials science and engineering MIT Schwarzman College of Computing MIT-Harvard Center for Ultracold Atoms Physics Quantum Computing Quantum physics Research Research Laboratory of Electronics School of Engineering School of Science

MIT Quantum Initiative launches postdoctoral fellowship program

The Institute welcomes its first cohort of QMIT Fellows this fall to advance interdisciplinary quantum research.

Artificial Intelligence Arts Arts, Technology and society Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) Ethics Law machine learning MIT Schwarzman College of Computing Research School of Engineering Technology and policy Technology and society

When AI art has no author: Study finds generated images often can’t be traced to training data

A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.

Artificial Intelligence Arts Arts, Technology and society Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) Ethics Law machine learning MIT Schwarzman College of Computing Research School of Engineering Technology and policy Technology and society

When AI art has no author: Study finds generated images often can’t be traced to training data

A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.

3-D imaging Artificial Intelligence Computer graphics Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Design Electrical engineering and computer science (EECS) Human-computer interaction Manufacturing MIT Schwarzman College of Computing Research School of Engineering Simulation

With a feel for physics, AI models simulate a wider range of real-world scenarios

“GeoPT” helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.

Artificial Intelligence Computer science and technology Diagnostics Electrical engineering and computer science (EECS) Health Care Human-computer interaction Institute for Medical Engineering and Science (IMES) Jameel Clinic Laboratory for Information and Decision Systems (LIDS) machine learning Medicine Research Technology and society

The benefits of medical AI assistance vary based on user expertise

Study finds non-experts deferred to LLM-based diagnostic assistance, even when it was wrong, while clinicians caught AI errors.

Alumni/ae Artificial Intelligence Brain and cognitive sciences Computer science and technology Electrical engineering and computer science (EECS) Faculty IDSS Leadership machine learning MIT Schwarzman College of Computing School of Engineering School of Science Statistics

Alexander Rakhlin named director of the MIT Statistics and Data Science Center

An expert in machine learning, statistics, and computation, Rakhlin succeeds Professor Ankur Moitra.

Algorithms Artificial Intelligence Autonomous vehicles Awards, honors and fellowships Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Faculty Human-computer interaction MIT Schwarzman College of Computing Robotics School of Engineering

Daniela Rus receives Bavarian Minister-President’s High-Tech Prize

Director of CSAIL and MIT professor honored for her contributions to robotics, artificial intelligence, and autonomous systems.

Artificial Intelligence Data Electrical engineering and computer science (EECS) Harvard-MIT Health Sciences and Technology Health Care Health sciences and technology History History of MIT History of science Information systems Institute for Medical Engineering and Science (IMES) Internet Medicine Research Laboratory of Electronics School of Engineering

How a medical database developed at MIT evolved into a global standard of data-sharing

The visionary PhysioNet platform launched 25 years ago, based on a system developed at MIT in the 1970s. It has become one of the most comprehensive biomedical and clinical data repositories in existence.