MIT Schwarzman College of Computing

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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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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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A better way to turn 2D designs into 3D models for rapid prototyping

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Engineers often use vision-language models to produce new designs, such as for airplane or automobile components. To simulate how those components will perform in realistic situations, they’ll use tried-and-true computer-aided design (CAD) software to generate 3D models of those designs, which they can put through virtual crash or durability tests. Researchers from MIT and elsewhere have

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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

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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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New method aims to keep kids safe from illegal AI-generated content

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With the exploding popularity of generative artificial intelligence, many open-source models are now available online for anyone to adapt for their task, such as generating product renderings in a certain artistic style. But these models also find their way into the hands of nefarious actors who may optimize them to produce illegal content, like hate speech

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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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Toward a future that preserves benefits of neurotechnology for all

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As advanced medical technology gets closer to hitting consumer markets, the need for guardrails on protected usage should increase. What might begin as a neural implant to aid in communication could become a device used to police one’s innermost thoughts.Intrigued by the far-reaching benefits and risks of neural implants, Rachel Sava, a PhD candidate in

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