For AI models, there are currently no safety rules that govern the path of actions, which can leads to unanticipated consequences.

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

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...

Abstract: This paper proposes a novel tube-based geometric model predictive control (GMPC) framework on Lie groups for robust and real-time trajectory tracking control of robot manipulators under ...

Model predictive control (MPC) has emerged as a leading methodology for steering nonlinear processes by solving a constrained optimisation problem at each sampling instant. By forecasting future ...

The process of continually tracking equipment and asset health gives operations a foundation for establishing predictive maintenance strategies by enabling early detection of potential issues before ...

Ducati is bringing a revolutionary innovation to the world of off-road motorcycling: Predictive maintenance. After introducing the first Traction Control system capable of accurately determining the ...

In January, the Franklin County Board of Elections in Ohio received a surprising call. The man on the line said he was an agent at the Department of Homeland Security – and he needed immediate access ...