Machine learning models optimized for edge hardware can determine control-pulse parameters for SNAP gates in microwave cavity qudits with gate trace infidelity near 10^-3.

Researchers trained an interpretable XGBoost model on biomechanical data from 204 male athletes to predict peak ACL force ...

When you start learning machine learning, you encounter many terms such as "features," "loss functions," "gradient descent," ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends and to the robotics systems powering automation. They're also inside more ...

Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...