At New York Climate Week 2026, MIT connects with a global network
A cross-section of the MIT community convened discussions on topics ranging from data centers and super pollutants to agriculture and education.
A cross-section of the MIT community convened discussions on topics ranging from data centers and super pollutants to agriculture and education.
Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems.
Read MoreMIT students designed, built, and tested a jet engine with AI copilots, assessing AI’s usefulness in developing high-performance aerospace systems.
Read MoreThis new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.
Read MoreThe new certificate program will equip naval officers with skills needed to solve the military’s hardest problems.
Read MoreA new framework from the MIT-IBM Watson AI Lab supercharges language models, so they can reason over, interactively develop, and verify valid, complex travel agendas.
Read More“IntersectionZoo,” a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.
Read MoreLincoln Laboratory is transitioning tools to the 618th Air Operations Center to streamline global transport logistics.
Read MoreBy eliminating redundant computations, a new data-driven method can streamline processes like scheduling trains, routing delivery drivers, or assigning airline crews.
Read MoreThe MIT Advanced Vehicle Technology Consortium provides data-driven insights into driver behavior, along with trust in AI and advance vehicle technology.
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