Leverage AI as a personalised "code coach" to bridge the gap between manual testing and automation by translating plain English into executable scripts and providing line-by-line logic explanations.

You can now run LLMs for software development on consumer-grade PCs. But we’re still a ways off from having Claude at home.

Marketers may see AI integration as a panacea for challenges, but the first step is differentiating between single-point AI ...

Microsoft Fabric’s new capabilities aim to unify data, semantics, and AI agent-driven operations across cloud, edge, and ...

Success with agents starts with embedding them in workflows, not letting them run amok. Context, skills, models, and tools are key. There’s more.

The promise of autonomous agentic AI requires significant changes in the governance landscape. Provided byIntel Parents of young children face a lot of fears about developmental milestones, from ...

Decoupling application logic from hardware lets engineers test firmware on host machines instead of waiting for dev boards.

The first act of the current AI boom was defined by prediction. LLMs were trained to predict the next word in a sentence, acting as sophisticated statistical mirrors of the internet. But for the ...

How do you strike the right balance between leveraging AI for productivity and protecting your company’s security?

The OWASP Top 10 for LLM Applications is the most widely referenced framework for understanding these risks. First released in 2023, OWASP updated the list in late 2024 to reflect real-world incidents ...

Once you know where to aim, the next step is to prove the value quickly and safely. The old model of multi-year, big-bang IT ...

There is an increasingly urgent need to steer operators towards cooling, siting and disclosure decisions that do not deepen water stress on the driest inhabited continent. There is a commercial ...