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: Acting in cluttered environments requires predicting and avoiding collisions while still achieving precise control. Conventional optimization-based controllers can enforce physical ...

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

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

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

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 ...

Uncover patterns and trends in market data to inform trading and investment decisions. Improve risk management, optimize investment strategies, and enhance predictive analytics. Relevant for Chief ...

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

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 ...