Opinion
Bulletin of the Atomic ScientistsOpinion

AI can chart a course to disaster faster than humans can notice

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

Adaptive Model Predictive Control With Variable Prediction Time for Path Tracking of Autonomous Vehicles

Abstract: Path tracking is a core technology for autonomous vehicles. Model predictive control (MPC) is well recognized as one of the promising approaches in this field. This article presents an ...
News-Medical.Net

Why AI tools need clearer guardrails in high-stakes health research

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

Practical Nonlinear Model Predictive Control With Kolmogorov–Arnold Network Models

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 ...