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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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Enhancing maritime cybersecurity with technology and policy

ai, AI (Artificial Intelligence), Artificial Intelligence, Collaboration, cybersecurity, Graduate, postdoctoral, IDSS, Laboratory for Information and Decision Systems (LIDS), MIT Schwarzman College of Computing, Oceanography and ocean engineering, Profile, Research, School of Engineering, School of Humanities Arts and Social Sciences, Security and military studies, Students, Technology and policy

Originally from the small Balkan country of Montenegro, Strahinja (Strajo) Janjusevic says his life has unfolded in unexpected ways, for which he is deeply grateful. After graduating from high school, he was selected to represent his country in the United States, studying cyber operations and computer science at the U.S. Naval Academy in Annapolis, Maryland.

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Accelerating science with AI and simulations

ai, AI (Artificial Intelligence), Artificial Intelligence, DMSE, Faculty, Machine Learning, Materials science and engineering, Profile, Research, School of Engineering

For more than a decade, MIT Associate Professor Rafael Gómez-Bombarelli has used artificial intelligence to create new materials. As the technology has expanded, so have his ambitions.Now, the newly tenured professor in materials science and engineering believes AI is poised to transform science in ways never before possible. His work at MIT and beyond is

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Decoding the Arctic to predict winter weather

ai, AI (Artificial Intelligence), Artificial Intelligence, Civil and environmental engineering, Climate, Computer science and technology, Earth and atmospheric sciences, Machine Learning, Natural disasters, Profile, Research, School of Engineering, Staff, Technology and society, Weather

Every autumn, as the Northern Hemisphere moves toward winter, Judah Cohen starts to piece together a complex atmospheric puzzle. Cohen, a research scientist in MIT’s Department of Civil and Environmental Engineering (CEE), has spent decades studying how conditions in the Arctic set the course for winter weather throughout Europe, Asia, and North America. His research

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Using design to interpret the past and envision the future

ai, AI (Artificial Intelligence), Architecture, Artificial Intelligence, Design, Graduate, postdoctoral, history, MISTI, Profile, School of Architecture and Planning, Students, Urban studies and planning

Some of designer C Jacob Payne’s projects present new, futuristic products — such as zero-gravity footwear for astronauts, and electronic-embedded ceramics — using technological tools and processes of digital fabrication, material innovation, and interactive interfaces. Other projects travel back in time to past centuries, considering the challenge of preserving and reconstructing Black architectural heritage.Payne graduated

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Working to eliminate barriers to adopting nuclear energy

Algorithms, Artificial Intelligence, Civil and environmental engineering, Computer modeling, Department of Energy (DoE), Energy, Graduate, postdoctoral, Nuclear power and reactors, Nuclear science and engineering, Nuclear security and policy, Profile, School of Engineering, Students

What if there were a way to solve one of the most significant obstacles to the use of nuclear energy — the disposal of high-level nuclear waste (HLW)? Dauren Sarsenbayev, a third-year doctoral student at the MIT Department of Nuclear Science and Engineering (NSE), is addressing the challenge as part of his research.Sarsenbayev focuses on one

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Exploring how AI will shape the future of work

Artificial Intelligence, Graduate, postdoctoral, Labor and jobs, MIT Sloan School of Management, Profile, Students, Technology and society

“MIT hasn’t just prepared me for the future of work — it’s pushed me to study it. As AI systems become more capable, more of our online activity will be carried out by artificial agents. That raises big questions: How should we design these systems to understand our preferences? What happens when AI begins making

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The brain power behind sustainable AI

Artificial Intelligence, Community, Computer science and technology, DMSE, Energy, Energy efficiency, Graduate, postdoctoral, Nuclear science and engineering, Profile, Research, School of Engineering, Science communications, Students, Sustainability

How can you use science to build a better gingerbread house?That was something Miranda Schwacke spent a lot of time thinking about. The MIT graduate student in the Department of Materials Science and Engineering (DMSE) is part of Kitchen Matters, a group of grad students who use food and kitchen tools to explain scientific concepts through short videos

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Understanding the nuances of human-like intelligence

Artificial Intelligence, Brain and cognitive sciences, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), Faculty, Machine Learning, MIT Schwarzman College of Computing, Profile, School of Engineering

What can we learn about human intelligence by studying how machines “think?” Can we better understand ourselves if we better understand the artificial intelligence systems that are becoming a more significant part of our everyday lives?These questions may be deeply philosophical, but for Phillip Isola, finding the answers is as much about computation as it

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Fighting for the health of the planet with AI

Algorithms, Artificial Intelligence, Climate change, Computer science and technology, Electric grid, Electrical engineering and computer science (EECS), Energy, Faculty, Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, Profile, Renewable energy, School of Engineering, Sustainability, Technology and policy

For Priya Donti, childhood trips to India were more than an opportunity to visit extended family. The biennial journeys activated in her a motivation that continues to shape her research and her teaching.Contrasting her family home in Massachusetts, Donti — now the Silverman Family Career Development Professor in the MIT Department of Electrical Engineering and

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