Q&A: Climate Grand Challenges finalists on new pathways to decarbonizing industry
Faculty leaders detail promising technologies, materials, and methods that could help unlock a low-carbon future in sectors where emissions are hardest to cut.
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Faculty leaders detail promising technologies, materials, and methods that could help unlock a low-carbon future in sectors where emissions are hardest to cut.
Veteran and PhD student Andrea Henshall has used MIT Open Learning to soar from the Air Force to multiple aeronautics degrees.
In collaboration with industry representatives, Momentum students tackle wildfire suppression and search-and-rescue missions while building soft skills.
The computer-vision technique behind these maps could help avoid contrail production, reducing aviation’s climate impact.
Faculty leaders discuss the opportunities and obstacles in developing, scaling, and implementing their work rapidly.
Gordon Engineering Leadership Program revamps IAP course, with focus on building products and systems, working in diverse teams, testing to requirements, and competing for contracts and market share.
Theories from cognitive science and psychology could help humans learn to collaborate with robots faster and more effectively, scientists find.
Seventeen new professors join the MIT community, with research areas ranging from robotics and machine learning to health care and agriculture.
Experiments aboard International Space Station demonstrate a potential solution for cleaning up orbital debris and repairing damaged satellites.
Prestigious fellowship connects students with mentors and internships to help launch their careers in aerospace.
John L. "Jack" Swigert, Jr. Award for Space Exploration honors project team’s success harvesting a sample from asteroid Bennu.
New fellows are working on electronic health record algorithms, remote sensing data related to environmental health, and neural networks for the development of antibiotics.
Gilda Barabino, president of Olin College of Engineering and professor of biomedical and chemical engineering, inaugurates the new series.
Researchers develop a way to test whether popular methods for understanding machine-learning models are working correctly.
Seniors David Darrow and Tara Venkatadri and HST student James Diao will pursue master’s programs at Cambridge University.