Bibliometric analysis is crucial for evaluating scientific publications, traditionally relying on metrics like citation count ...

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...

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 ...

For healthcare data strategy projects, there are four essential elements to turn aspiration into a plan for recurring ...

Artificial intelligence continued to have a big impact of information management in 2025. Also selected are case studies and CDO interviews that show the enduring value of good data management.

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 ...

Abstract: This article addresses the parameter identification of the Exp-ARX system with arbitrary data loss. To effectively tackle the challenges associated with data loss to enhance data utilization ...

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 ...