Electrical engineering and computer science (EECS)

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

3-D imaging, ai, AI (Artificial Intelligence), 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

Artificial intelligence models are jacks of many trades, including writing, generating images, and creating 3D models. But they aren’t as helpful when it comes to testing robots or designs for vehicles in diverse environments, since they don’t understand physics as well as they do pixels or text.To build an AI system that can reliably simulate […]

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The benefits of medical AI assistance vary based on user expertise

ai, AI (Artificial Intelligence), 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

A one-size-fits-all approach likely isn’t the best strategy when designing artificial intelligence systems that assist users in disease diagnosis.A new study by researchers at MIT and elsewhere found that, while AI assistance generally improved the accuracy of non-experts and clinicians in diagnosing skin diseases, AI explainability methods had different impacts depending on the users’ knowledge

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

ai, AI (Artificial Intelligence), 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 “Sasha” Rakhlin PhD ’06, the Distinguished Professor in Data, Systems, and Society at the MIT Institute for Data, Systems, and Society (IDSS); and a professor of brain and cognitive sciences at MIT, has been named the next director of the MIT Statistics and Data Science Center (SDSC). Rakhlin succeeds Ankur Moitra, the Norbert Wiener Professor of Mathematics,

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

ai, AI (Artificial Intelligence), 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, director of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Panasonic Professor of Computer Science, has received the 2026 High-Tech Prize of the Bavarian Minister-President for her contributions to robotics, artificial intelligence, and autonomous systems. Awarded jointly by the Bavarian State Government and the Bavarian Academy of Sciences and Humanities, it is

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

ai, AI (Artificial Intelligence), 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

Before the advancement of scientific data storage and collaboration via the cloud, medical investigators seeking health research breakthroughs had to overcome significant obstacles to collaboration and key clinical data gathering. Data were siloed and difficult to distribute, so those looking to undertake research had no option but to gather them themselves. This not only made research

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Professor Emeritus Dimitri Bertsekas, influential computer scientist and prolific author, dies at 83

ai, AI (Artificial Intelligence), Alumni/ae, Artificial Intelligence, Books and authors, Computer science and technology, Electrical engineering and computer science (EECS), Faculty, Laboratory for Information and Decision Systems (LIDS), MIT Schwarzman College of Computing, Networks, Obituaries, Photography, Programming, Research, School of Engineering

Dimitri Bertsekas PhD ’71, the Jerry McAfee (1940) Emeritus Professor in Engineering in the Department of Electrical Engineering and Computer Science (EECS), a principal investigator in the Laboratory for Information and Decision Systems (LIDS), and the Fulton Professor of Computational Decision Making at Arizona State University, died on June 3 at his home in Belmont,

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Following the questions where they lead

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Computer science and technology, Democracy, Electrical engineering and computer science (EECS), Faculty, government, Labor and jobs, Laboratory for Information and Decision Systems (LIDS), MIT Schwarzman College of Computing, Political science, Politics, Profile, Public health, School of Engineering, School of Humanities Arts and Social Sciences, Technology and society

Ever since she was a child playing on her family’s farmland in Wisconsin, Bailey Flanigan was guided by her own selective, yet wide-ranging, curiosity. Describing her young self as spirited and a bit unruly, she directed her energies to everything from building booby traps to doing experimental construction projects to exploring an intense interest in

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Helping AI models to meet the real world

ai, AI (Artificial Intelligence), 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

Systems using artificial intelligence to enhance forecasting, planning, and decision-making in businesses have been proliferating in recent years, but in many cases, they lack the detailed, specific information about the organization itself, limiting the usefulness of those tools. Devavrat Shah, a principal investigator at MIT’s Laboratory for Information and Decision Systems (LIDS), faculty member with the

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

3-D, ai, AI (Artificial Intelligence), 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

Robots walking down the street, surrounded by astounded onlookers, is an increasingly common sight. But these machines aren’t yet the do-it-all assistants you’d want working in a kitchen or factory, and a major bottleneck is data. Much like humans, robots learn best by experience. The challenge is that it’s labor-intensive and time-consuming to physically teach

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Tiny robot boats build floating structures

ai, AI (Artificial Intelligence), Architecture, 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

Most people think of the waterfront as the edge of the city. A team of MIT researchers sees it as a dynamic, Lego-like construction site.Their new system, called “FloatForm,” is a swarm of small square robotic boats that assemble themselves into larger structures on the water, break apart, and reassemble into something new, all with

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