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Country - United States
Summary - Mapping Machine Learning To Physics (Ml2) Proposers Day
Deadline - Aug 25, 2025
GT reference number - 115703180
Product classification - Research and development consultancy services
Address - United States
Contact details - 565656565
Tender notice no. - 76454545
GT Ref Id - 115703180
Document Type - Tender Notices
Description - Description: Machine learning (ML) moves fast, but it needs power. More power than we have, and that’s the problem. The Department of Defense faces additional constraints with ML deployments at the edge in resource-limited battlefield environments. The ML2P program is about prioritizing power efficiency consumption right from the start. ML2P will map ML efficiency directly to physics using precise Joule measurements, enabling accurate power and performance predictions across diverse hardware architectures. ML2P will develop multi-objective optimization functions that balance power consumption with performance metrics and discover how local optimizations interact through Energy Semantics of
Gt Ref Id - 115703180
Deadline - Aug 25, 2025
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