New tools are available to help reduce the energy that AI models devour, MIT News

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%.

Engineers develop a way to determine how the surfaces of materials behave - MGHPCC

Artificial intelligence for augmentation and productivity, MIT News

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Synthetic imagery sets new bar in AI training efficiency, MIT News

Search Stories, MIT News

AI helps robots manipulate objects with their whole bodies, MIT News

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Creativity in the Age of Intelligent Machines, by Ceren Gokoglu, Jan, 2024

Bringing the power of AI to Windows 11 - unlocking a new era of productivity for customers and developers with Windows Copilot and Dev Home - Windows Developer Blog

Home - MGHPCC

Antony Walker (@techUKdepCEO) / X

New tools are available to help reduce the energy that AI models devour

Tyler McKeon on LinkedIn: Evaluating LLMs is a minefield

Dr Igor Calzada, MBA, FeRSA on LinkedIn: New tools are available to help reduce the energy that AI models devour

Jeremy Kepner