School of Engineering

Auto Added by WPeMatico

Katie Spivakovsky wins 2026 Churchill Scholarship

ai, AI (Artificial Intelligence), Artificial Intelligence, Awards, honors and fellowships, Biological engineering, Biology, Mathematics, MIT Schwarzman College of Computing, School of Engineering, School of Science, Students, Undergraduate

MIT senior Katie Spivakovsky has been selected as a 2026-27 Churchill Scholar and will undertake an MPhil in biological sciences at the Wellcome Sanger Institute at Cambridge University in the U.K. this fall.Spivakovsky, who is double-majoring in biological engineering and artificial intelligence, with minors in mathematics and biology, aims to integrate computation and bioengineering in […]

Katie Spivakovsky wins 2026 Churchill Scholarship Read More »

SMART launches new Wearable Imaging for Transforming Elderly Care research group

3-D printing, Aging, ai, AI (Artificial Intelligence), Artificial Intelligence, Civil and environmental engineering, Collaboration, Global, Health care, Health sciences and technology, Imaging, International initiatives, Invention, Mechanical engineering, Research, School of Engineering, Singapore-MIT Alliance for Research and Technology (SMART), Wearable sensors

What if ultrasound imaging is no longer confined to hospitals? Patients with chronic conditions, such as hypertension and heart failure, could be monitored continuously in real-time at home or on the move, giving health care practitioners ongoing clinical insights instead of the occasional snapshots — a scan here and a check-up there. This shift from

SMART launches new Wearable Imaging for Transforming Elderly Care research group Read More »

SMART launches new Wearable Imaging for Transforming Elderly Care research group

3-D printing, Aging, ai, AI (Artificial Intelligence), Artificial Intelligence, Civil and environmental engineering, Collaboration, Global, Health care, Health sciences and technology, Imaging, International initiatives, Invention, Mechanical engineering, Research, School of Engineering, Singapore-MIT Alliance for Research and Technology (SMART), Wearable sensors

What if ultrasound imaging is no longer confined to hospitals? Patients with chronic conditions, such as hypertension and heart failure, could be monitored continuously in real-time at home or on the move, giving health care practitioners ongoing clinical insights instead of the occasional snapshots — a scan here and a check-up there. This shift from

SMART launches new Wearable Imaging for Transforming Elderly Care research group Read More »

How generative AI can help scientists synthesize complex materials

ai, AI (Artificial Intelligence), Artificial Intelligence, Chemical engineering, Computer science and technology, DMSE, Machine Learning, Materials science and engineering, National Science Foundation (NSF), Research, School of Engineering

Generative artificial intelligence models have been used to create enormous libraries of theoretical materials that could help solve all kinds of problems. Now, scientists just have to figure out how to make them.In many cases, materials synthesis is not as simple as following a recipe in the kitchen. Factors like the temperature and length of

How generative AI can help scientists synthesize complex materials Read More »

The philosophical puzzle of rational artificial intelligence

ai, AI (Artificial Intelligence), Artificial Intelligence, Classes and programs, Collaboration, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Education, teaching, academics, Electrical engineering and computer science (EECS), Machine Learning, MIT Schwarzman College of Computing, Philosophy, School of Engineering, School of Humanities Arts and Social Sciences, Technology and society

To what extent can an artificial system be rational?A new MIT course, 6.S044/24.S00 (AI and Rationality), doesn’t seek to answer this question. Instead, it challenges students to explore this and other philosophical problems through the lens of AI research. For the next generation of scholars, concepts of rationality and agency could prove integral in AI

The philosophical puzzle of rational artificial intelligence Read More »

Why it’s critical to move beyond overly aggregated machine-learning metrics

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), Health care, Institute for Medical Engineering and Science (IMES), Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, Research, School of Engineering, Technology and society

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to test whenever a model is deployed in a new setting.“We demonstrate that even when you train models on large amounts of data, and choose the

Why it’s critical to move beyond overly aggregated machine-learning metrics Read More »

Generative AI tool helps 3D print personal items that sustain daily use

3-D printing, ai, AI (Artificial Intelligence), Artificial Intelligence, Center for Bits and Atoms, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Design, Electrical engineering and computer science (EECS), Fabrication, Invention, Machine Learning, MIT Schwarzman College of Computing, School of Engineering

Generative artificial intelligence models have left such an indelible impact on digital content creation that it’s getting harder to recall what the internet was like before it. You can call on these AI tools for clever projects such as videos and photos — but their flair for the creative hasn’t quite crossed over into the

Generative AI tool helps 3D print personal items that sustain daily use Read More »

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

At MIT, a continued commitment to understanding intelligence Read More »

3 Questions: How AI could optimize the power grid

ai, AI (Artificial Intelligence), Algorithms, Alternative energy, Artificial Intelligence, Batteries, Climate change, Computer science and technology, Electrical engineering and computer science (EECS), Energy, Energy storage, Faculty, Interview, Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, Pollution, Research, School of Engineering, Sustainability, Sustainable computing

Artificial intelligence has captured headlines recently for its rapidly growing energy demands, and particularly the surging electricity usage of data centers that enable the training and deployment of the latest generative AI models. But it’s not all bad news — some AI tools have the potential to reduce some forms of energy consumption and enable cleaner grids.One

3 Questions: How AI could optimize the power grid Read More »

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

Decoding the Arctic to predict winter weather Read More »