Dr. John Halamka says the health system's evidence-based oversight efforts, focused on more than 100 different artificial ...
Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
A new active-inference account reframes attachment styles as calibrated models of the world—with consequences for how we ...
Spanish control systems specialist Sunner has launched True Wind, a predictive monitoring system that detects wind-induced ...
Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...
Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...
As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with ...
Abstract: Implementing model predictive control (MPC) in practice faces many subtle but prevalent problems, including modeling errors, solver errors, and actuator faults. In essence, the real control ...
Abstract: This paper presents a nonlinear model predictive control (NMPC) scheme based on sequential convex programming (SCP). We propose a modified SCP algorithm for nonlinear MPC that adaptively ...
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