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Regina Barzilay and Jim Collins win Pritzker Prize for AI and Science Research Excellence for work in AI-enabled antibiotic discovery

ai, AI (Artificial Intelligence), Antibiotics, Artificial Intelligence, Awards, honors and fellowships, Bacteria, Biological engineering, Collaboration, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Disease, Drug discovery, Electrical engineering and computer science (EECS), Faculty, Harvard-MIT Health Sciences and Technology, Health sciences and technology, Institute for Medical Engineering and Science (IMES), Jameel Clinic, Koch Institute, Medicine, Microbes, MIT Schwarzman College of Computing, School of Engineering

Regina Barzilay, MIT’s School of Engineering Distinguished Professor of AI and Health, and James Collins, MIT’s Termeer Professor of Medical Engineering and Science, are the recipients of the 2026 Pritzker Prize for AI in Science Research Excellence. The award recognizes their joint work in “pioneering AI-enabled antibiotic discovery, integrating deep learning, bioengineering, and experimental validation to

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MIT affiliates named 2026 Schmidt Sciences AI2050 Fellows

Abdul Latif Jameel Poverty Action Lab (J-PAL), ai, AI (Artificial Intelligence), Alumni/ae, Artificial Intelligence, Awards, honors and fellowships, Biology, Computer science and technology, Economics, Electrical engineering and computer science (EECS), Faculty, Laboratory for Information and Decision Systems (LIDS), Mathematics, MIT Schwarzman College of Computing, MIT Sloan School of Management, Political science, School of Engineering, School of Science

Five MIT faculty members and two additional alumni were recently named to the 2026 cohort of AI2050 Fellows. The honor is announced annually by Schmidt Sciences, Eric and Wendy Schmidt’s philanthropic initiative that aims to accelerate scientific innovation. Conceived and co-chaired by Eric Schmidt and James Manyika, AI2050 is a philanthropic initiative aimed at helping to solve hard

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3 Questions: Why infrastructure is entering a defining era

ai, AI (Artificial Intelligence), Artificial Intelligence, Civil and environmental engineering, Cleaner industry, Climate change, Electric grid, Energy, Faculty, Global, government, Industry, infrastructure, International initiatives, Internet, Interview, School of Engineering, Supply chains, Sustainability, Technology and policy, Transportation

For centuries, infrastructure has evolved alongside technology. New materials and engineering techniques enabled taller buildings, longer bridges, and larger cities. Computing and digital technologies later transformed how infrastructure was designed, monitored, and operated.Now, the pace of change is accelerating, and challenges are arriving simultaneously. Climate change is increasing pressure on water, energy, and other resources.

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Making machines that can listen

ai, AI (Artificial Intelligence), Artificial Intelligence, Arts, Computer science and technology, Electrical engineering and computer science (EECS), Faculty, Machine Learning, MIT Schwarzman College of Computing, Music, Music technology, Profile, School of Engineering, School of Humanities Arts and Social Sciences

The crack of a bat accompanied by a roar from the crowd can capture a baseball fan’s attention, even if they miss seeing the home run. Humans may be visual creatures, but we also perceive the world around us by listening to it. To improve artificial perception, MIT Professor Paris Smaragdis SM ’97, PhD ’01 seeks

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Reinforcing the value of human understanding at MIT

ai, AI (Artificial Intelligence), Alumni/ae, Anthropology, Artificial Intelligence, Arts, Classes and programs, Comparative Media Studies/Writing, Economics, Education, teaching, academics, Faculty, history, History of MIT, Human-computer interaction, Humanities, Linguistics, Literature, MISTI, Music and theater arts, Philosophy, Political science, Program in STS, School of Humanities Arts and Social Sciences, Social sciences, Special events and guest speakers, Technology and society

At the MIT School of Humanities, Arts, and Social Sciences (SHASS) 75th Anniversary Symposium, speakers celebrated the school’s value and contributions, while exploring how artificial intelligence is transforming many aspects of teaching, research, and society.The symposium was held Sept. 24-25 in the Linde Music Building’s Thomas Tull Concert Hall. Scholars, students, staff, and alumni from

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Q&A: How AI came to model the “messy” human mind

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer science and technology, Electrical engineering and computer science (EECS), Faculty, history, History of science, Interview, Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, Research, School of Engineering, School of Humanities Arts and Social Sciences, Technology and society

Generative artificial intelligence models are rooted in ideas of mid-20th century engineers who thought some amount of irrationality was essential for a machine that could think like a human, contends Benjamin Lindquist, an assistant professor in the MIT History Section, who holds an MIT Schwarzman College of Computing shared position with the Department of Electrical

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Q&A: The “collision” between AI, your brain, and society

ai, AI (Artificial Intelligence), Artificial Intelligence, Books and authors, Faculty, Interview, MIT Sloan School of Management, Research, Technology and society

As artificial intelligence use becomes more widespread, scholars are working to understand its effects on the people who use it. MIT Professor Eric So offers one of the most complete syntheses yet, in his new book, “The Collision: What AI Does to Us,” published this month by W.W. Norton. Recognizing that AI offers opportunities to

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Q&A: Building accountability behind our words — and AI’s — in civic conversations

ai, AI (Artificial Intelligence), Artificial Intelligence, Faculty, Interview, Media Lab, School of Architecture and Planning, Social media, Technology and society

When government officials craft policies, there is often a comment period for public feedback. Lawmakers have long had to sort through fake feedback that is mass-produced in an effort to sway policy, but they’ve generally gotten used to detecting it. With, artificial intelligence, however, people can submit realistic-seeming comments, which are harder to dismiss as

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3 Questions: What is the best path forward for AI in academia?

ai, AI (Artificial Intelligence), Artificial Intelligence, Brain and cognitive sciences, Computer science and technology, Education, teaching, academics, Faculty, IDSS, Interview, MIT Schwarzman College of Computing, School of Engineering, School of Science, Technology and society

With artificial intelligence capabilities continuing to expand, universities now face complex, urgent questions about how to navigate increasing challenges, as well as new opportunities. Much attention is now directed toward this, including an MIT report on AI and education published this summer. A new essay from MIT Statistics and Data Science Center Director Sasha Rakhlin, the Distinguished Professor

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3 Questions: What is the best path forward for AI in academics?

3 Questions: What is the best path forward for AI in academics? Read More »