Toward sustainable decarbonization of aviation in Latin America
Special report describes targets for advancing technologically feasible and economically viable strategies.
Bryan Reimer named to FAA Rulemaking Committee
CTL research scientist will provide recommendations to the Federal Aviation Administration focused on the most significant human-factor risks to aviation safety.
The multifaceted challenge of powering AI
Providing electricity to power-hungry data centers is stressing grids, raising prices for consumers, and slowing the transition to clean energy.
Student Program for Innovation in Science and Engineering is a launching pad toward possibility
Gifted Caribbean high schoolers become SPISE alumni at MIT, and many go on to advanced academic and professional careers.
Explained: Generative AI’s environmental impact
Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.
MIT Global SCALE Network named No. 1 supply chain and logistics master’s program for 2024-25
Eighth consecutive top spot reflects global excellence in education and research.
Algorithms and AI for a better world
Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.
Making the art world more accessible
The startup NALA, which began as an MIT class project, directly matches art buyers with artists.
Karl Berggren named faculty head of electrical engineering in EECS
Professor who develops technologies to push the envelope of what is possible with photonics and electronic devices succeeds Joel Voldman.
Three MIT students named 2026 Schwarzman Scholars
Yutao Gong, Brandon Man, and Andrii Zahorodnii will spend 2025-26 at Tsinghua University in China studying global affairs.
This fast and agile robotic insect could someday aid in mechanical pollination
With a new design, the bug-sized bot was able to fly 100 times longer than prior versions.
Fast control methods enable record-setting fidelity in superconducting qubit
The advance holds the promise to reduce error-correction resource overhead.
New computational chemistry techniques accelerate the prediction of molecules and materials
With their recently-developed neural network architecture, MIT researchers can wring more information out of electronic structure calculations.
Designing tiny filters to solve big problems
By developing new materials for separating a mixture’s components, Zachary Smith hopes to reduce costs and environmental impact across many U.S. industries.
Minimizing the carbon footprint of bridges and other structures
MAD Design Fellow Zane Schemmer writes algorithms that optimize overall function, minimize carbon footprint, and produce a manufacturable design.