Study: Climate change may make it harder to reduce smog in some regions
Ground-level ozone in North America and Western Europe may become less sensitive to cutting NOx emissions. The opposite may occur in Northeast Asia.
Ground-level ozone in North America and Western Europe may become less sensitive to cutting NOx emissions. The opposite may occur in Northeast Asia.
Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.
“IntersectionZoo,” a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.
Using diagrams to represent interactions in multipart systems can provide a faster way to design software improvements.
By eliminating redundant computations, a new data-driven method can streamline processes like scheduling trains, routing delivery drivers, or assigning airline crews.
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.
A new international collaboration unites MIT and maritime industry leaders to develop nuclear propulsion technologies, alternative fuels, data-powered strategies for operation, and more.
Investment in analytics may also benefit college teams and fields beyond sports, a new study shows.
New theoretical approach for generating quantum states could lead to improved accuracy and reliability of information and decision systems.
Engineers developed a planning tool that can help independent entities decide when they should invest in joint projects.
Annual award honors early-career researchers for creativity, innovation, and research accomplishments.
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.
Accenture Fellow Shreyaa Raghavan applies machine learning and optimization methods to explore ways to reduce transportation sector emissions.
MIT researchers developed a new approach for assessing predictions with a spatial dimension, like forecasting weather or mapping air pollution.
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.