Results for "performance"

Ultra-low-latency algorithmic trading.

Deep learning system for protein structure prediction.

AI discovering new compounds/materials.

Finding mathematical equations from data.

Modeling chemical systems computationally.

Rate at which AI capabilities improve.

Regulating access to large-scale compute.

A conceptual framework describing error as the sum of systematic error (bias) and sensitivity to data (variance).

A measure of a model class’s expressive capacity based on its ability to shatter datasets.

Measures a model’s ability to fit random noise; used to bound generalization error.