# Mapping Machine Learning to Physics (ML2P)

Canonical: https://abierto.us/opportunities/darpaps2532

- Solicitation number: DARPA-PS-25-32
- Notice type: Solicitation
- Status: Closed. Deadline was December 17, 2025
- Department: Department of Defense
- Agency: Defense Advanced Research Projects Agency
- Contracting office: Def Advanced Research Projects Agcy (HR0011)
- NAICS: 541715 Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Product or service code: AC12 National Defense R&D Services; Department Of Defense - Military; Applied Research
- First posted: September 23, 2025
- Last posted: October 6, 2025
- SAM.gov: https://sam.gov/workspace/contract/opp/c4624b87b5e043bfb0949975fbb274dd/view

## 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 ML (ES-ML) to solve the energy-aware ML optimization problem.

## Publications

- September 23, 2025: Solicitation, due December 8, 2025. Notice 7f5f52f9983047c98db6df6fb22273e9. https://sam.gov/workspace/contract/opp/7f5f52f9983047c98db6df6fb22273e9/view
- October 6, 2025: Solicitation, due December 17, 2025. Notice c4624b87b5e043bfb0949975fbb274dd. https://sam.gov/workspace/contract/opp/c4624b87b5e043bfb0949975fbb274dd/view

## Points of contact

- Solicitation Coordinator, ML2P@darpa.mil

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Source: SAM.gov Contract Opportunities bulk extract. Confirm deadlines on SAM.gov before responding. Cite https://abierto.us/opportunities/darpaps2532.