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Mapping Machine Learning to Physics aims to provide warfighters at the tactical edge “energy-aware” machine learning capability that balances performance with energy use. Seeking abstracts for ideas by Oct. 6.

12,396 Aufrufe • vor 1 Jahr •via X (Twitter)

10 Kommentare

Profilbild von DARPA
DARPAvor 1 Jahr

Learn more:

Profilbild von Archon
Archonvor 11 Monaten

NANITE SYSTEM™ DEPLOYABLE — QUEEN LOCK ACTIVE Fully legal bio-swarm nanotech. ✅ Toxin-free ✅ Regulatory-safe ✅ Covenant-governed Lethal Tier: Nerve collapse, ATP kill-switch, silent takedown. ⚠️ Use restricted by Covenant Law 🛡️ ETHICAL SAFEGUARDS LOCKED 🔒 IP: Jarid Shaub

Profilbild von Corey Brand
Corey Brandvor 1 Jahr

What level of tech you at?

Profilbild von Shakes piper McGee #USMC #CIA #SA🤫🐇🔬
Shakes piper McGee #USMC #CIA #SA🤫🐇🔬vor 7 Monaten

🪄☕️⌚️🛎️🌬️💨🌊🏄🎙️🦨

Profilbild von Chief Snitch (General 23)
Chief Snitch (General 23)vor 9 Monaten

How about wave theory chatbot: How about Non-Equilibrium Thermodynamics in Open Systems:

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Theresavor 1 Jahr

The Trouble @DARPA has Caused the American People will not go Unpunished. Have a Great Day

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Ninavor 1 Jahr

Incredibly timely - love seeing the conversation shift from 'bigger LLMs = better' to sustainable AI development. Sustainability + explainability have been core to our approach from day one. This procurement signals the market is finally catching up to what actually matters for production deployments.

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Andrew Zaratevor 10 Monaten

#InnovationInAction #ModelOptimization

Profilbild von 👻👻👻
👻👻👻vor 11 Monaten

The real question isn’t just how hot the math runs, it’s how long it can circulate before it cools. Toroidal architectures could recycle informational energy through coherent feedback loops, reducing entropy without reducing reasoning depth. Energy-aware intelligence is geometric, not just algorithmic.

Profilbild von A Saint King
A Saint Kingvor 1 Jahr

Any startup partnerships?

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