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.

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

Hidden in volcanic lakes and deep-sea vents, scientists have discovered tough new DNA-binding proteins built to survive extreme conditions. After scanning huge genetic databases, researchers found ...

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

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

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 ...

China's self-driving industry debates how to design end-to-end AI systems, as regulation and limited compute shape different approaches compared to Tesla.

An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...

Quantitative finance continues to debate the reliability and limits of model-driven investment strategies. Read more here.

A tech enthusiast has shared their DVD rewritable durability findings, following six months of testing.