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At MIT, a continued commitment to understanding intelligence

ai, AI (Artificial Intelligence), Artificial Intelligence, Brain and cognitive sciences, Center for Brains Minds and Machines, Electrical engineering and computer science (EECS), Giving, MIT Schwarzman College of Computing, MIT Siegel Family Quest for Intelligence, Neuroscience, Research, School of Engineering, School of Science

The MIT Siegel Family Quest for Intelligence (SQI), a research unit in the MIT Schwarzman College of Computing, brings together researchers from across MIT who combine their diverse expertise to understand intelligence through tightly coupled scientific inquiry and rigorous engineering. These researchers engage in collaborative efforts spanning science, engineering, the humanities, and more. SQI seeks to […]

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MIT in the media: 2025 in review

Administration, Alumni/ae, Artificial Intelligence, Cambridge, Boston and region, Climate change, Community, Computer science and technology, Education, teaching, academics, Equity and inclusion, Faculty, Global, government, Health sciences and technology, Innovation and Entrepreneurship (I&E), MIT Schwarzman College of Computing, MIT Sloan School of Management, Policy, President Sally Kornbluth, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Social justice, Space, Staff, Students

“At MIT, innovation ranges from awe-inspiring technology to down-to-Earth creativity,” noted Chronicle, during a campus visit this year for an episode of the program. In 2025, MIT researchers made headlines across print publications, podcasts, and video platforms for key scientific advances, from breakthroughs in quantum and artificial intelligence to new efforts aimed at improving pediatric health

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A “scientific sandbox” lets researchers explore the evolution of vision systems

Artificial Intelligence, Brain and cognitive sciences, Center for Brains Minds and Machines, Computer science and technology, Computer vision, Defense Advanced Research Projects Agency (DARPA), Imaging, Machine Learning, Media Lab, Research, School of Architecture and Planning, School of Science, Sensors

Why did humans evolve the eyes we have today?While scientists can’t go back in time to study the environmental pressures that shaped the evolution of the diverse vision systems that exist in nature, a new computational framework developed by MIT researchers allows them to explore this evolution in artificial intelligence agents.The framework they developed, in

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3 Questions: Using computation to study the world’s best single-celled chemists

Artificial Intelligence, Bacteria, Biology, Electrical engineering and computer science (EECS), Evolution, Faculty, Genetics, Interview, Machine Learning, Microbes, MIT Schwarzman College of Computing, School of Engineering, School of Science

Today, out of an estimated 1 trillion species on Earth, 99.999 percent are considered microbial — bacteria, archaea, viruses, and single-celled eukaryotes. For much of our planet’s history, microbes ruled the Earth, able to live and thrive in the most extreme of environments. Researchers have only just begun in the last few decades to contend

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Enabling small language models to solve complex reasoning tasks

Algorithms, Artificial Intelligence, Brain and cognitive sciences, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Defense Advanced Research Projects Agency (DARPA), Electrical engineering and computer science (EECS), Machine Learning, MIT Schwarzman College of Computing, MIT Siegel Family Quest for Intelligence, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, School of Engineering, School of Science

As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that human-like reasoning is around the corner. In reality, they still trail us by a wide margin on complex tasks. Try playing Sudoku with one, for instance, where you fill in numbers one through nine in such

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Five with MIT ties elected to National Academy of Medicine for 2025

Alumni/ae, Artificial Intelligence, Awards, honors and fellowships, Biology, Computer Science and Artificial Intelligence Laboratory (CSAIL), Disease, Electrical engineering and computer science (EECS), Faculty, Harvard-MIT Health Sciences and Technology, Health care, Health sciences and technology, Koch Institute, Mechanical engineering, MIT Schwarzman College of Computing, Physics, Ragon Institute, School of Engineering, School of Science, Vaccines, Wireless

On Oct. 20 during its annual meeting, the National Academy of Medicine announced the election of 100 new members, including MIT faculty members Dina Katabi and Facundo Batista, along with three additional MIT alumni.Election to the National Academy of Medicine (NAM) is considered one of the highest honors in the fields of health and medicine,

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MIT Energy Initiative conference spotlights research priorities amidst a changing energy landscape

Artificial Intelligence, Batteries, Carbon dioxide, Chemistry, Cleaner industry, Climate change, Collaboration, DMSE, Electric grid, Energy, Energy storage, Faculty, government, infrastructure, Innovation and Entrepreneurship (I&E), Investments, Mechanical engineering, MIT Energy Initiative, Policy, Renewable energy, School of Engineering, School of Science, Special events and guest speakers, Startups, Students, Sustainability, The Engine, Transportation

“We’re here to talk about really substantive changes, and we want you to be a participant in that,” said Desirée Plata, the School of Engineering Distinguished Professor of Climate and Energy in MIT’s Department of Civil and Environmental Engineering, at Energizing@MIT: the MIT Energy Initiative’s (MITEI) Annual Research Conference that was held on Sept. 9-10.Plata’s

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The cost of thinking

Artificial Intelligence, Brain and cognitive sciences, Computer science and technology, Machine Learning, McGovern Institute, Neuroscience, Research, School of Science

Large language models (LLMs) like ChatGPT can write an essay or plan a menu almost instantly. But until recently, it was also easy to stump them. The models, which rely on language patterns to respond to users’ queries, often failed at math problems and were not good at complex reasoning. Suddenly, however, they’ve gotten a

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Blending neuroscience, AI, and music to create mental health innovations

Artificial Intelligence, Brain and cognitive sciences, Graduate, postdoctoral, Media Lab, Mental health, MIT Schwarzman College of Computing, Music, Music and theater arts, Neuroscience, Profile, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Students, Undergraduate Research Opportunities Program (UROP)

Computational neuroscientist and singer/songwriter Kimaya (Kimy) Lecamwasam, who also plays electric bass and guitar, says music has been a core part of her life for as long as she can remember. She grew up in a musical family and played in bands all through high school.“For most of my life, writing and playing music was

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DOE selects MIT to establish a Center for the Exascale Simulation of Coupled High-Enthalpy Fluid–Solid Interactions

Aeronautical and astronautical engineering, Artificial Intelligence, Computer modeling, Computer science and technology, Department of Energy (DoE), DMSE, Electrical engineering and computer science (EECS), Machine Learning, Mathematics, Mechanical engineering, MIT Schwarzman College of Computing, Research, School of Engineering, School of Science, Security studies and military, Space, Supercomputing

The U.S. Department of Energy’s National Nuclear Security Administration (DOE/NNSA) recently announced that it has selected MIT to establish a new research center dedicated to advancing the predictive simulation of extreme environments, such as those encountered in hypersonic flight and atmospheric re-entry. The center will be part of the fourth phase of NNSA’s Predictive Science Academic Alliance

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