AI processes may not be the headline-makers, but they’re the backbone of how organisations create value, manage risk, and ...

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

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

Building a high-performing tech team starts with finding well-educated and talented engineers and developers. They have to ...

With agentic AI, you stop telling software how to work and start telling it what you want, while it handles the messy ...

Ivar Jacobson created the first use case model in 1987 while working at Ericsson. It started as a tool for developing complex ...

The trend toward the software-defined vehicle is undisputed. But how fast will this development unfold? The answer may ...

Digital engineering and modeling and simulation (M&S) are transformative approaches that enable precision, efficiency and ...

Quilter's AI designed a working 843-component Linux computer in 38 hours—a task that typically takes engineers 11 weeks. Here's how they did it.

SDLC guides teams to plan, build, test, and deliver software. Discover phases, KPIs, tools, and checklist with our quick start guide. Picture this: You and your team have spent a tremendous amount of ...

Pressure grows for software better aligned with business. Agile techniques have been stagnant for a decade. AI may speed up Agile team output. Agile has always had the best intentions: work side by ...

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.