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Walter Torous named executive director of MIT Center for Real Estate

ai, AI (Artificial Intelligence), Architecture, Artificial Intelligence, Center for Real Estate, Civil and environmental engineering, Education, teaching, academics, Leadership, Machine Learning, Media Lab, MIT Sloan School of Management, Real Estate, School of Architecture and Planning, School of Engineering, Urban studies and planning

Walter Torous, senior lecturer in the MIT Department of Urban Studies and Planning (DUSP) and the MIT Sloan School of Management, and director of the Master of Science in Real Estate Development Program (MSRED), was recently named executive director of the MIT Center for Real Estate (CRE) — effective July 1, 2026.In announcing Torous’ appointment, School of Architecture […]

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Ila Kumar: Innovating with communities

ai, AI (Artificial Intelligence), Artificial Intelligence, Assistive technology, Engineering systems, Graduate, postdoctoral, Media Lab, Mental health, Profile, School of Architecture and Planning, Students, Technology and society

Before Ila Kumar thinks about how to build technology, she asks a different question: What is the context that technology will operate in, and who needs to be involved in the design? For Kumar, meaningful innovation doesn’t result from engineers or designers working in isolation. Instead, she believes the best innovations emerge when the people who

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3 Questions: Neural transparency and the future of AI design

ai, AI (Artificial Intelligence), Algorithms, Apps, Artificial Intelligence, Computer science and technology, data, ethics, Faculty, Human-computer interaction, Interview, Machine Learning, Media Lab, Mental health, Research, Safety, School of Architecture and Planning, Technology and society

Millions of people are now designing their own personalized artificial intelligence companions, yet most have little idea how those creations will actually behave. In a new paper, MIT Media Lab Assistant Professor Pat Pataranutaporn and his graduate student researchers Anthony Baez and Sheer Karny introduce “neural transparency,” a tool that lets everyday users glimpse inside

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Inaugural Music Technology Research Showcase celebrates work of new graduate program’s initial students

ai, AI (Artificial Intelligence), Artificial Intelligence, Arts, Electrical engineering and computer science (EECS), Electronics, Graduate, postdoctoral, Human-computer interaction, Machine Learning, Media Lab, MIT Schwarzman College of Computing, Music, Music and theater arts, Music technology, Performances, School of Engineering, School of Humanities Arts and Social Sciences, Special events and guest speakers

The MIT Music Technology and Computation (MTC) Graduate Program — launched in fall 2024 as a collaboration between the Music and Theater Arts Section in the School of Humanities, Arts, and Social Sciences (SHASS), and the School of Engineering (SoE) — presented its inaugural MIT Music Technology Research Showcase on May 13. The event played

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The consequences of relying on AI for accurate news

ai, AI (Artificial Intelligence), Artificial Intelligence, Journalism, Media Lab, MIT Sloan School of Management, Research, School of Architecture and Planning, Tata Center

It’s no secret that the last few years have seen a massive explosion in the use of artificial intelligence for general information-gathering. An even more recent trend, though, is how large language models (LLMs) like ChatGPT, Claude, and Gemini are increasingly being used for verifying and consuming news; reports from the Pew Research Center over the

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The crucial human component in computing and AI

Aeronautical and astronautical engineering, ai, AI (Artificial Intelligence), Artificial Intelligence, Comparative Media Studies/Writing, Education, teaching, academics, Electrical engineering and computer science (EECS), ethics, Human-computer interaction, IDSS, Media Lab, MIT Schwarzman College of Computing, MIT Sloan School of Management, Music and theater arts, Philosophy, Political science, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Special events and guest speakers, Technology and society

On April 30, the MIT Schwarzman College of Computing’s Social and Ethical Responsibilities of Computing (SERC) initiative hosted a full-day research symposium examining how artificial intelligence is shaping the world and its implications for society. The symposium included research talks by SERC’s latest seed grant recipients on topics such as air pollution forecasting and responsible computer vision deployment, panels on AI alignment

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PATH to boost AI training and career opportunities for industry-aligned jobs

ai, AI (Artificial Intelligence), Artificial Intelligence, Careers, Collaboration, Education, teaching, academics, Industry, Labor and jobs, Media Lab, MIT Sloan School of Management, School of Architecture and Planning, STEM education, Technology and society

MIT, in collaboration with Georgia State University and a growing network of educational institutions, has announced expanded work under PATH (Pathways for AI Training and Hiring) — a multiyear initiative designed to scale effective, affordable, industry-aligned AI training for entry-level and current workers, with a particular focus on transforming community colleges into engines powering an

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Tod Machover receives George Peabody Medal for contributions to music and technology

ai, AI (Artificial Intelligence), Artificial Intelligence, Arts, Awards, honors and fellowships, Faculty, Media Lab, Music, Music technology, School of Architecture and Planning

Tod Machover, the Muriel R. Cooper Professor of Music and Media, faculty director of the MIT Media Lab, and director of the Opera of the Future research group, will receive the George Peabody Medal for Outstanding Contributions to Music and Dance in America — the highest honor bestowed by the Peabody Institute of the Johns

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Generative AI improves a wireless vision system that sees through obstructions

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer science and technology, data, Electrical engineering and computer science (EECS), Electronics, Imaging, Machine Learning, Media Lab, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Robotics, School of Architecture and Planning, School of Engineering, Sensors, Wireless

MIT researchers have spent more than a decade studying techniques that enable robots to find and manipulate hidden objects by “seeing” through obstacles. Their methods utilize surface-penetrating wireless signals that reflect off concealed items.Now, the researchers are leveraging generative artificial intelligence models to overcome a longstanding bottleneck that limited the precision of prior approaches. The

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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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