Results for "theory discovery"

Increasing performance via more data.

Competitive advantage from proprietary models/data.

Variable whose values depend on chance.

Describes likelihoods of random variable outcomes.

Average value under a distribution.

Measure of spread around the mean.

Sample mean converges to expected value.

Sum of independent variables converges to normal distribution.

Probability of data given parameters.

Eliminating variables by integrating over them.

Lowest possible loss.

Flat high-dimensional regions slowing training.

Restricting updates to safe regions.

Converts constrained problem to unconstrained form.

Alternative formulation providing bounds.

Optimization under uncertainty.

Requirement to provide explanations.

Mechanism to disable AI system.

Limiting inference usage.

AI systems that perceive and act in the physical world through sensors and actuators.

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

Hardware components that execute physical actions.

Continuous loop adjusting actions based on state feedback.

Control using real-time sensor feedback.

The physical system being controlled.

Algorithm computing control actions.

Using output to adjust future inputs.

System returns to equilibrium after disturbance.

Equations governing how system states change over time.

Performance drop when moving from simulation to reality.