Abstract: Autonomous driving is producing various novel achievements in integrating different control technologies with machine learning to control intelligent vehicles, i.e., learning-based control.

Abstract: We introduce an output-feedback approach to model predictive control that combines state estimation and control into a single min-max optimization. Under appropriate assumptions that ensure ...

AI-enabled research tools can accelerate health research, but their data-science roots may clash with epidemiological ...

Silhouette 2026 adds AI matting updates, a 3D head mesh tracker, faster playback, and deeper pipeline automation for roto and ...

We tested top AI trading bots across pricing, AI features, and automated trading implementation. See how they compare to find ...

AVEVA, a global leader in industrial software, today announced a broad set of product innovations spanning its industrial ...

Learn about the methodology and tools for AI-driven arc fault detection to create real-time classification on MCUs, improving ...

From June 2026, AVEVA Operations Control updates will deliver unified visualisation across the full operational stack, seamlessly connecting HMI, SCADA, and enterprise systems via CONNECT with a ...

Stock day trading is becoming more data-driven, faster, and more automated. In 2026, the best stock trading AI bots are not just tools that send buy or sell alerts. They scan thousands of stocks, ...

Are we at the point yet, where plants are not just linking IT and OT – but are running on that integration? And, if so, what ...