Designing a new way to optimize complex coordinated systems
Using diagrams to represent interactions in multipart systems can provide a faster way to design software improvements.
A faster way to solve complex planning problems
By eliminating redundant computations, a new data-driven method can streamline processes like scheduling trains, routing delivery drivers, or assigning airline crews.
MIT affiliates named 2024 AAAS Fellows
The American Association for the Advancement of Science recognizes six current affiliates and 27 additional MIT alumni for their efforts to advance science and related fields.
MIT Maritime Consortium sets sail
A new international collaboration unites MIT and maritime industry leaders to develop nuclear propulsion technologies, alternative fuels, data-powered strategies for operation, and more.
Basketball analytics investment is key to NBA wins and other successes
Investment in analytics may also benefit college teams and fields beyond sports, a new study shows.
Researchers establish new basis for quantum sensing and communication
New theoretical approach for generating quantum states could lead to improved accuracy and reliability of information and decision systems.
Sometimes, when competitors collaborate, everybody wins
Engineers developed a planning tool that can help independent entities decide when they should invest in joint projects.
MIT faculty, alumni named 2025 Sloan Research Fellows
Annual award honors early-career researchers for creativity, innovation, and research accomplishments.
J-WAFS: Supporting food and water research across MIT
For the past decade, the Abdul Latif Jameel Water and Food Systems Lab has strengthened MIT faculty efforts in water and food research and innovation.
Puzzling out climate change
Accenture Fellow Shreyaa Raghavan applies machine learning and optimization methods to explore ways to reduce transportation sector emissions.
Validation technique could help scientists make more accurate forecasts
MIT researchers developed a new approach for assessing predictions with a spatial dimension, like forecasting weather or mapping air pollution.
Toward video generative models of the molecular world
Starting with a single frame in a simulation, a new system uses generative AI to emulate the dynamics of molecules, connecting static molecular structures and developing blurry pictures into videos.
How hard is it to prevent recurring blackouts in Puerto Rico?
Using the island as a model, researchers demonstrate the “DyMonDS” framework can improve resiliency to extreme weather and ease the integration of new resources.
Helping students bring about decarbonization, from benchtop to global energy marketplace
Professor Jessika Trancik’s course helps students understand energy levers for addressing climate change at the macro and micro scales.
MIT affiliates named 2024 Schmidt Sciences AI2050 Fellows
Five MIT faculty members and two additional alumni are honored with fellowships to advance research on beneficial AI.