I got to test the TitanX, the latest dry fire training tool from Mantis. Mantis products use a data-driven approach to improve shooting ability. From an instructor’s viewpoint, their products augment ...

The US government is incorporating social media vetting as part of their border control policy, leading to concerns about what data will be collected and how it will be protected ...

AI coding assistants and agentic workflows represent the future of software development and will continue to evolve at a rapid pace. But while LLMs have become adept at generating functionally correct ...

Using the latest advanced driver assistance systems fitted to vehicles can help fleets significantly reduce risk. We look at how to get the most out of them.

The drone threat isn’t coming. It’s already here. Unauthorized drones have disrupted airports across Europe, hovered over critical infrastructure, and breached secure facilities with ...

Other companies and education organizations provide these kinds of communities and resources for their users and members. For ...

BrainIAC analyzes brain scans across diseases, learns from minimal data, offers hope for rare condition diagnosis.

Abstract: The article considers the issue of creating a system for assessing the technical condition of heat exchange equipment using machine learning using the example of condenser tube contamination ...

This year companies plan to invest $1.5 trillion in AI initiatives, with forecasts showing that investments will rise to $2 trillion by 2026. Gartner research predicts that most of this spending will ...

As headcount grows in the maintenance shop, so does the complexity of the little details. One of the biggest headaches for any shop or fleet manager is keeping track of who has what training and why ...

Build production-ready AI agents tutorials that solve real problems. You're here because AI agents are transforming software development, and you want practical skills you can use at work tomorrow.

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.