Google Chrome ships WebMCP in early preview, turning every website into a structured tool for AI agents

Google and Microsoft's new WebMCP standard lets websites expose callable tools to AI agents through the browser — replacing costly scraping with structured function calls.
InfoWorld

Reactive state management with JavaScript Signals

Learn how frameworks like Solid, Svelte, and Angular are using the Signals pattern to deliver reactive state without the ...
Journal of Medical Internet Research

Development and Validation of a Web-Based Machine Learning Model for Predicting Early Neurological Deterioration Following Stroke Thrombolysis: Multicenter Study

We systematically evaluated 27 clinical parameters using multiple machine learning algorithms to develop ENDRAS, a prediction model based on six readily available clinical variables. Model performance ...
IEEE

A Deep Learning-Enabled Framework for Driver Drowsiness Assessment and Forecasting With HRV Matching Based on Dual Optical Fiber Sensor System

Abstract: Fatigue driving is a major cause of road traffic accidents and casualties. Automatically assessing driver drowsiness via vital signs monitoring offers an objective way to boost driving ...
Frontiers

Security of Drivers in Intelligent Transportation Systems: Privacy Preserving Federated Transfer Learning for Driver Drowsiness Detection

The final, formatted version of the article will be published soon. Driver drowsiness is a serious concern for road safety within intelligent transportation systems and it can reduce the safety and ...