Objectives This study describes the prototype testing and clinical validation of the Fit-Frailty App, a fully guided, interactive mobile health (mHealth) app to assess frailty and sarcopenia. This ...

Abstract: This paper explores the application of Iterative Learning Control (ILC) in enhancing lateral tracking of autonomous vehicles. A kinematic bicycle model ...

These are not “nice-to-haves”; they are prerequisites for distributed cognition, operating at machine speed. As Tatipamula and Cerf point out, the network can no longer simply host intelligence. It ...

For technical leaders and architects, managing computationally intensive workloads presents a significant infrastructure challenge. Traditional on-premise solutions require substantial capital ...

The rapid, structural increase in AI electricity demand is creating a violent collision with the slow, supply-constrained ...

Advanced computer models can quantify the impacts of climate change and other environmental challenges, providing deep ...

Healthcare is investing billions in AI, yet most projects fail to scale. This analysis examines the EMR Divide and why only 4 ...

Introduction Self-harm and suicidal thoughts and behaviours are a significant public health concern. While individual risk factors have been widely studied, the role of social determinants in shaping ...

Jeff Yan, founder of Hyperliquid, has quietly built a $308 billion volume DEX with over half a million users, influencing ...

AI’s rise is transforming career paths and challenging managers to blend human insight with machine efficiency in a ...

Abstract: This study investigates the high-order internal model (HOIM) based data-driven iterative learning control of HSRs subject to faded channels. Firstly, the nonlinear train dynamics are ...

We introduce iterative retrieval, a novel framework that empowers retrievers to make iterative decisions through policy optimization. Finding an optimal portfolio of retrieved items is a combinatorial ...