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MIT in the media: For the future of tech, “Massachusetts can absolutely lead”

ai, AI (Artificial Intelligence), Alumni/ae, Artificial Intelligence, Cambridge, Boston and region, Computer science and technology, Energy, Faculty, Innovation and Entrepreneurship (I&E), President Sally Kornbluth, Quantum Computing, Research, Startups, Technology and society

On June 9, The Boston Globe released its 2026 “Tech Power Players” list, recognizing 50 influential local leaders in technology and business across Massachusetts. The list includes eight MIT affiliates including President Sally Kornbluth, Prof. Daniela Rus (director of CSAIL), Prof. Regina Barzilay, Prof. Yet-Ming Chiang, Prof. Max Tegmark, Ana Bakshi (executive director of the Martin […]

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Jinhua Zhao named head of the Department of Urban Studies and Planning

ai, AI (Artificial Intelligence), Alumni/ae, Artificial Intelligence, Autonomous vehicles, Energy, Faculty, Global, infrastructure, Leadership, School of Architecture and Planning, Technology and policy, Technology and society, Traffic management, Transportation, Urban studies and planning

Jinhua Zhao MCP ’04, SM ’04, PhD ’09 has been appointed head of the Department of Urban Studies and Planning (DUSP), effective July 1. Zhao is the Class of 1941 Professor of Cities and Transportation at MIT.In making the announcement, dean of the MIT School of Architecture and Planning Hashim Sarkis noted that Zhao is a renowned

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MIT affiliates win 2026 Hertz Foundation Fellowships

ai, AI (Artificial Intelligence), Alumni/ae, Artificial Intelligence, Awards, honors and fellowships, Chemistry, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), Graduate, postdoctoral, Mechanical engineering, MIT Schwarzman College of Computing, Robotics, School of Engineering, School of Science, Students

The Hertz Foundation announced that it awarded 2026 fellowships to three current MIT students as well as an incoming graduate student. They are: Annika Marschner, Alvin Q. Meng, Zachary S. Siegel, and Matthew Wanta.The prestigious science and technology award provides each recipient with five years of financial support — a stipend and full tuition equivalent — which gives them

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Building AI models that understand chemical principles

ai, AI (Artificial Intelligence), Alumni/ae, Artificial Intelligence, Chemical engineering, Chemistry, Computer science and technology, Drug discovery, Electrical engineering and computer science (EECS), Faculty, Machine Learning, MIT Schwarzman College of Computing, Profile, School of Engineering

Among all of the possible chemical compounds, it’s estimated that between 1020 and 1060 may hold potential as small-molecule drugs.Evaluating each of those compounds experimentally would be far too time-consuming for chemists. So, in recent years, researchers have begun using artificial intelligence to help identify compounds that could make good drug candidates. One of those researchers is MIT

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Two from MIT named 2026 Knight-Hennessy Scholars

ai, AI (Artificial Intelligence), Alumni/ae, Artificial Intelligence, Awards, honors and fellowships, Economics, Electrical engineering and computer science (EECS), Graduate, postdoctoral, Mathematics, Physics, Robotics, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Students

MIT master’s student Sunshine Jiang ’25 and Rupert Li ’24 are recipients of this year’s Knight-Hennessy Scholarship. Now in its ninth year, the highly competitive scholarship provides up to three years of financial support for graduate studies at Stanford University. Sunshine Jiang  ’25Sunshine Jiang, from Hangzhou, China, graduated from MIT in 2025 with a bachelor’s degree

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Beacon Biosignals is mapping the brain during sleep

ai, AI (Artificial Intelligence), Alumni/ae, Alzheimer's, Artificial Intelligence, Brain and cognitive sciences, Disease, Harvard-MIT Health Sciences and Technology, Health care, Health sciences and technology, Innovation and Entrepreneurship (I&E), Institute for Medical Engineering and Science (IMES), Machine Learning, Mental health, Neuroscience, Parkinson's, School of Engineering, School of Science, Startups

The human brain remains one of the most fascinating and perplexing mysteries in medicine. Scientists still struggle to match neurological activity with brain function and detect problems early, slowing efforts to treat neurological disorders and other diseases.Beacon Biosignals is working to make sense of the brain by monitoring its activity while people sleep. The company,

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Bringing AI-driven protein-design tools to biologists everywhere

ai, AI (Artificial Intelligence), Alumni/ae, Artificial Intelligence, Bioengineering and biotechnology, Biological engineering, Drug development, Innovation and Entrepreneurship (I&E), Machine Learning, Proteins, School of Engineering, Startups

Artificial intelligence is already proving it can accelerate drug development and improve our understanding of disease. But to turn AI into novel treatments we need to get the latest, most powerful models into the hands of scientists.The problem is that most scientists aren’t machine-learning experts. Now the company OpenProtein.AI is helping scientists stay on the

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What’s the right path for AI?

ai, AI (Artificial Intelligence), Alumni/ae, Artificial Intelligence, School of Humanities Arts and Social Sciences, Special events and guest speakers, Technology and society, Women's and Gender Studies

Who benefits from artificial intelligence? This basic question, which has been especially salient during the AI surge of the last few years, was front and center at a conference at MIT on Wednesday, as speakers and audience members grappled with the many dimensions of AI’s impact.In one of the conferences’s keynote talks, journalist Karen Hao

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How Joseph Paradiso’s sensing innovations bridge the arts, medicine, and ecology

ai, AI (Artificial Intelligence), Alumni/ae, Artificial Intelligence, Digital technology, Ecology, Electronics, Environment, Faculty, Health, Internet of things, Machine Learning, Media Lab, Medicine, Physics, Profile, School of Architecture and Planning, School of Science, Sensors, Space, Wearable sensors, Wireless

Joseph Paradiso thinks that the most engaging research questions usually span disciplines. Paradiso was trained as a physicist and completed his PhD in experimental high-energy physics at MIT in 1981. His father was a photographer and filmmaker working at MIT, MIT Lincoln Laboratory, and the MITRE Corporation, so he grew up in a house where artists, scientists,

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3 Questions: Using AI to help Olympic skaters land a quint

ai, AI (Artificial Intelligence), Alumni/ae, Artificial Intelligence, data, IDSS, Interview, Literature, Mechanical engineering, MIT Sloan School of Management, Research, School of Engineering, Sports and fitness

Olympic figure skating looks effortless. Athletes sail across the ice, then soar into the air, spinning like a top, before landing on a single blade just 4-5 millimeters wide. To help figure skaters land quadruple axels, Salchows, Lutzes, and maybe even the elusive quintuple without looking the least bit stressed, Jerry Lu MFin ’24 developed

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