Top software engineering students are discovering that the jobs they trained for are evaporating just as they graduate. As AI systems take over routine coding and testing, the classic entry-level ...

Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

Automakers are quietly reshaping their electrification plans around a simple engineering reality: the next wave of hybrids ...

For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

These are the most dependable models that BMW has ever created. From classic 1970s legends to modern models, these BMWs are ...

Upcoming software purchases should no longer be one-time contracts; they're living partnerships built on shared data and trust.

In large enterprises, hundreds or even thousands of engineering teams are working in parallel. Each team owns a specific ...

Join the audience for a live webinar at 3 p.m. GMT/10 a.m. EST on 21 January 2026 Discover the role of impedance analysis in advancing battery-model development ...

Enterprise IT Infrastructure and Operations (I&O) teams are entering 2026 facing a fundamental shift in expectations. The ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...