Pre-configured to identify normal, high-vibration, and unstable motor conditions STMicroelectronics (NYSE:STM)GENEVA, ...

Collaboration brings together refrigeration engineering expertise and industrial AI to optimize performance, energy ...

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...

Editor’s Note: The SCM thesis Procurement Control Tower: Proof of Concept Through Machine Learning and Natural Language Processing was authored by Bishwajit Kumar and Pablo Barros Gomez, and ...

The primary motivation for the PI’s team was achieving motion performance considered impossible by others. This pertains to the Bode sensitivity integral, which implies that enhancing one frequency ...

It’s a bit of a stretch to realize zero human interaction in the operation of heavy construction equipment. However, make no mistake. The move is on to make it happen. “Part of the problem involves ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

The deep reinforcement learning agent is able to rediscover large-scale streamwise vortices strategy on its own for this high-Reynolds-number 3D flow, while also learning to adjust the wall-normal ...