MIT scientists developed a training method to generate models that simulate the effects of human activities on climate much more quickly than other approaches.
A cross-section of the MIT community convened discussions on topics ranging from data centers and super pollutants to agriculture and education.
Read MoreMIT’s Center for Transportation and Logistics finds sustainability commitments are strong, but governance gaps and external disruptions prevent execution.
Read MoreNew MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that’s essential to fertilizer and other products.
Read MoreBy minimizing the need to drive around looking for a parking spot, this technique can save drivers up to 35 minutes — and give them a realistic estimate of total travel time.
Read MoreGiti Tire used a four-step framework to cut emissions while growing profit.
Read MoreMacro, a modeling tool developed by the MIT Energy Initiative, enables energy-system planners to explore options for developing infrastructure to support decarbonized, reliable, and low-cost power grids.
Read MoreMIT faculty and MITEI member company experts address power demand from data centers.
Read MoreExplosive growth of AI data centers is expected to increase greenhouse gas emissions. Researchers are now seeking solutions to reduce these environmental harms.
Read MoreNew research shows the natural variability in climate data can cause AI models to struggle at predicting local temperature and rainfall.
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