New research could lead to faster, trustworthy AI models for climate prediction
MIT scientists developed a training method to generate models that simulate the effects of human activities on climate much more quickly than other approaches.
MIT scientists developed a training method to generate models that simulate the effects of human activities on climate much more quickly than other approaches.
With up to $53 million from ARPA-H, the researchers will use AI to generate safer herbicides that reduce dependence on imports and improve the security of the U.S. food supply.
MIT engineers cast a concrete beam using a sewn fabric mold with one-third the amount of concrete and half as much steel as a conventional beam.
Elsa Olivetti, co-director of the MIT Minerals Stewardship Consortium, discusses how research and collaborations can strengthen mineral supply chains.
The findings indicate where adaptive measures are needed most around the United States.
Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.
A cross-section of the MIT community convened discussions on topics ranging from data centers and super pollutants to agriculture and education.
The 18th annual Kendall Square Association Annual Meeting explored how new technologies could be a force for shared prosperity in society.
MIT's Center for Transportation and Logistics finds sustainability commitments are strong, but governance gaps and external disruptions prevent execution.
Co-founders Aleks Banaś and Zachary Rapaport see architecture and farming as deeply complementary disciplines. Their nascent club is having a sizeable impact at the Institute.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
MIT researchers built a cloud-based platform to help Massachusetts coastal towns and the state manage shellfishing closures, giving thousands of permit holders a clearer view of where they can fish.
J-PAL North America’s Learning Lab supported a second cohort of U.S. government and nonprofit organizations in building and using rigorous evidence to advance effective decarbonization and adaptation strategies.
A new way of simulating wind turbines in the field shows how tweaking turbine operation could unlock tens of thousands of dollars per turbine every year.
The Climate Grand Challenges “New World of Weather” project shows how modeling, planning tools, and infrastructure analysis are translating research into real-world resilience.