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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.

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DARPA

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12,396 görüntüleme • 1 yıl önce •via X (Twitter)

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DARPA1 yıl önce

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Archon11 ay önce

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

Corey Brand profil fotoğrafı
Corey Brand1 yıl önce

What level of tech you at?

Shakes piper McGee #USMC #CIA #SA🤫🐇🔬 profil fotoğrafı
Shakes piper McGee #USMC #CIA #SA🤫🐇🔬7 ay önce

🪄☕️⌚️🛎️🌬️💨🌊🏄🎙️🦨

Chief Snitch (General 23) profil fotoğrafı
Chief Snitch (General 23)9 ay önce

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

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Theresa1 yıl önce

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

Nina profil fotoğrafı
Nina1 yıl önce

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 Zarate10 ay önce

#InnovationInAction #ModelOptimization

👻👻👻 profil fotoğrafı
👻👻👻11 ay önce

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.

A Saint King profil fotoğrafı
A Saint King1 yıl önce

Any startup partnerships?

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