Mapping Machine Learning To Physics (Ml2P)

  Address - United States

  Contact details - 565656565

  Tender notice no. - 76454545

  GT Ref Id - 115340903

  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 - 115340903

Deadline - Sep 05, 2025