Explained: Generative AI''s environmental impact
MIT News explores the environmental and sustainability implications of generative AI technologies and applications.
MIT News explores the environmental and sustainability implications of generative AI technologies and applications.
MIT engineers developed a membrane that filters the components of crude oil by their molecular size, an advance that could dramatically reduce the amount of energy needed for crude oil
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Growing energy demand means the U.S. will almost certainly have to expand its electricity grid in coming years. What''s the best way to do this? A new study by MIT researchers examines
As MIT''s first vice president for energy and climate, Evelyn Wang is working to broaden MIT''s research portfolio, scale up existing innovations, seek new breakthroughs, and channel
MIT researchers developed a new fabrication method that could enable them to stack multiple active components, like transistors and memory units, on top of an existing circuit, which
The MIT-GE Vernova Climate and Energy Alliance, a five-year collaboration between MIT and GE Vernova, aims to accelerate the energy transition and scale new innovations.
The new Schmidt Laboratory for Materials in Nuclear Technologies (LMNT) at the MIT Plasma Science and Fusion Center accelerates fusion materials testing using cyclotron proton beam
A look at how AI can be used to help support the clean energy transition by helping to manage power grid operations, plan infrastructure investments, guide the development of novel
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At the MIT Energy Initiative''s Annual Research Conference, industry leaders agreed collaboration is key to advancing critical technologies amidst a changing energy landscape.
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Liquid air energy storage could be the lowest-cost solution for ensuring a reliable power supply on a future grid dominated by carbon-free yet intermittent energy sources, according to a new
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