Bridging space research and policy
PhD student Carissma McGee studies exoplanets and examines intellectual property frameworks for space collaborations.
PhD student Carissma McGee studies exoplanets and examines intellectual property frameworks for space collaborations.
Researchers use control theory to shed unnecessary complexity from AI models during training, cutting compute costs without sacrificing performance.
Faculty member in civil and environmental engineering will advance research and entrepreneurial initiatives across the School of Engineering.
Startup accelerator program grows to over 30 companies, almost half of them with MIT pedigrees.
Graduate engineering program is No. 1 in the nation; MIT Sloan is No. 6.
Researchers developed a system that intelligently balances workloads to improve the efficiency of flash storage hardware in a data center.
Dean Price, assistant professor in the Department of Nuclear Science and Engineering, sees a bright future for nuclear power, and believes AI can help us realize that vision.
Co-founded by Dan Sobek ’88, SM ’92, PhD ’97, 1s1 Energy has developed electrochemical cell materials for hydrogen electrolyzers that it says reduces energy use by 30 percent.
MIT researchers developed a testing framework that pinpoints situations where AI decision-support systems are not treating people and communities fairly.
By quickly generating aesthetically accurate previews of fabricated objects, the VisiPrint system could make prototyping faster and less wasteful.
Computational biologist Sergei Kotelnikov is working to develop new methods in protein modeling as part of the School of Science Dean’s Postdoctoral Fellowship.
A new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.
Build for Ukraine 2.0 united students, researchers, and Ukrainian collaborators to prototype solutions shaped by wartime conditions.
Mariano Salcedo ’25, a master’s student in the new Music Technology and Computation Graduate Program, is designing an AI to visualize and express music and other sounds.
An AI model generates novel proteins based on how they vibrate and move, opening new possibilities for dynamic biomaterials and adaptive therapeutics.