Exploring new sides of climate and sustainability research
With the support of each other and MIT faculty, students in the MCSC’s Climate and Sustainability Scholars Program are making their impact on real-world climate challenges.
With the support of each other and MIT faculty, students in the MCSC’s Climate and Sustainability Scholars Program are making their impact on real-world climate challenges.
These tunable proteins could be used to create new materials with specific mechanical properties, like toughness or flexibility.
The award recognizes exceptional distinction in teaching, research, and service at MIT.
MIT researchers exhibit a new advancement in autonomous drone navigation, using brain-inspired liquid neural networks that excel in out-of-distribution scenarios.
The MIT EECS adjunct associate professor and CSAIL member has been recognized for her outstanding contributions to cryptography.
MIT political scientist In Song Kim shines a bright light on the dark art of political lobbying.
Now in its sixth year, The Standard provides the tools, support, and camaraderie for undergraduate men of color to thrive at MIT — and beyond.
Experts convene to peek under the hood of AI-generated code, language, and images as well as its capabilities, limitations, and future impact.
Developed at MIT, D2X is a new tool that makes it easy to debug any domain-specific programming language.
Set to retire this spring, Staton has made an indelible mark on graduate student living and learning over a quarter century at the Institute.
Principal Research Scientist Audun Botterud tackles a range of cross-cutting problems — from energy market interactions to designing batteries — to get closer to a decarbonized power grid.
Expert in computational reactor physics to succeed Professor Anne White as department head.
Award is given each year by the School of Engineering to an outstanding educator up for promotion to associate professor without tenure.
The three-fingered robotic gripper can “feel” with great sensitivity along the full length of each finger – not just at the tips.
“DribbleBot” can maneuver a soccer ball on landscapes such as sand, gravel, mud, and snow, using reinforcement learning to adapt to varying ball dynamics.