The British Army’s Ajax armored vehicle program has again come under scrutiny after the service suspended its use following new complaints from troops about excessive noise and harmful vibrations. The ...

The UK Ministry of Defence (MoD) has been forced to suspend the use of the British Army’s Ajax armoured vehicle after personnel reported symptoms of excessive noise and vibration during exercises over ...

The multi-million pound vehicles are made in Merthyr Tydfil [PA Media] The Army has paused the use of its Ajax armoured vehicles after soldiers became unwell from noise and vibration during a military ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...

The North Korean threat actors behind the Contagious Interview campaign have once again tweaked their tactics by using JSON storage services to stage malicious payloads. "The threat actors have ...

On Google’s podcast, Martin Splitt explains how default lazy loading can delay LCP, why some libraries hinder indexing, and how to verify fixes. Google warns against lazy-loading above-the-fold images ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

Add Yahoo as a preferred source to see more of our stories on Google. Photo: Jim Allen, Freightwaves. From public boards to private portals and niche freight co-ops, each load board serves a different ...

Creating precise and structured instructions for AI agents is essential for achieving consistent, reliable, and organized outputs. If you ever found yourself frustrated with AI outputs that feel more ...

A new JavaScript obfuscation method utilizing invisible Unicode characters to represent binary values is being actively abused in phishing attacks targeting affiliates of an American political action ...

Refai MI, Varrecchia T, Chini G, Ranavolo A and Sartori M (2025) Assessing low-back loading during lifting using personalized electromyography-driven trunk models and NIOSH-based risk levels.