Results for "closed-loop science"

Control using real-time sensor feedback.

Continuous loop adjusting actions based on state feedback.

Closed loop linking sensing and acting.

Control without feedback after execution begins.

Models accessible only via service APIs.

Continuous cycle of observation, reasoning, action, and feedback.

Using production outcomes to improve models.

Algorithm computing control actions.

Model trained on its own outputs degrades quality.

Control that remains stable under model uncertainty.

AI selecting next experiments.

System design where humans validate or guide model outputs, especially for high-stakes decisions.

The field of building systems that perform tasks associated with human intelligence—perception, reasoning, language, planning, and decision-making—via algori...

Humans assist or override autonomous behavior.

Models whose weights are publicly available.

Set of vectors closed under addition and scalar multiplication.

Central system to store model versions, metadata, approvals, and deployment state.

Models evaluating and improving their own outputs.

A theoretical framework analyzing what classes of functions can be learned, how efficiently, and with what guarantees.

Required human review for high-risk decisions.

Sequential data indexed by time.

Field combining mechanics, control, perception, and AI to build autonomous machines.

Classical controller balancing responsiveness and stability.

Learning by minimizing prediction error.

Acting to minimize surprise or free energy.

Intelligence emerges from interaction with the physical world.

Robots learning via exploration and growth.

AI applied to scientific problems.

AI discovering new compounds/materials.

Agents optimize collective outcomes.