Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap between simulation and ...

Zapier reports that deterministic AI ensures consistent outcomes in workflows by embedding AI within structured rules, enhancing reliability while leveraging AI's interpretative strength.

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.

A new technique enables huge machine-learning models to efficiently generate more accurate quantifications of their uncertainty about certain predictions. This could help practitioners determine ...

Local high school and college robotics teams are exploring new ways to integrate blockchain technology into their work, starting with simple automation and data tracking experiments. As they explore ...