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%.
AI helps robots manipulate objects with their whole bodies, MIT News
AI is transforming the coding of computer programs
Global Technology Governance Report 2021: Harnessing Fourth Industrial Revolution Technologies in a COVID-19 World
AI News auf Deutsch – Podcast – Podtail
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Technique enables AI on edge devices to keep learning over time, MIT News
New forecasting tool to aid MIT's energy planning
New tools are available to help reduce the energy that AI models devour
Artificial intelligence for augmentation and productivity, MIT News
Engineers develop a way to determine how the surfaces of materials behave - MGHPCC
FPGA chips are coming on fast in the race to accelerate AI
MIT LLSC develops tools to reduce energy use for AI models., Yash Patel posted on the topic
ENTRY ARTIFICIAL INTELLIGENCE - Department of Mathematics
Jeremy Kepner