MIT Lincoln Laboratory's Supercomputing Center has developed tools to reduce data center energy use by power-capping hardware and by improving the efficiency with which models are trained — in some cases, their techniques reduce energy use by 80%.
Google DeepMind's new AI tool helped create more than 700 new materials
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Technique enables AI on edge devices to keep learning over time, MIT News
Four ways AI is making the power grid faster and more resilient
Using language to give robots a better grasp of an open-ended world, MIT News
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MIT New tools to help reduce the energy that AI models devour
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Simple superconducting device could dramatically cut energy use in computing, other applications
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Consequential, a policy podcast from Carnegie Mellon University