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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.

DARPA

283,966 subscribers

12,396 次观看 • 1 年前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

10 条评论

DARPA 的头像

DARPA1 年前

Learn more:

Archon 的头像

Archon11 个月前

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 Brand1 年前

What level of tech you at?

Shakes piper McGee #USMC #CIA #SA🤫🐇🔬 的头像

Shakes piper McGee #USMC #CIA #SA🤫🐇🔬7 个月前

🪄☕️⌚️🛎️🌬️💨🌊🏄🎙️🦨

Chief Snitch (General 23) 的头像

Chief Snitch (General 23)9 个月前

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

Theresa 的头像

Theresa1 年前

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

Nina 的头像

Nina1 年前

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.

Andrew Zarate 的头像

Andrew Zarate10 个月前

#InnovationInAction #ModelOptimization

👻👻👻 的头像

👻👻👻11 个月前

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 的头像

A Saint King1 年前

Any startup partnerships?

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