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.

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

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 ...

Research published in ACS Central Science could help healthcare professionals non-invasively diagnose bacterial infections, using breath-based tests.

AI is pushing servers so hard that air cooling is literally shaking them to death; it is time to embrace liquid cooling or watch your hardware overheat and fail.

Reflecting on the strength model of self-control, some criticisms of the model, and some of the adjustments that have emerged ...

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.

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 ...

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 ...

A man breached Windsor Castle with a crossbow after his large language model (LLM)-based companion encouraged an assassination plan. A father’s question about pi evolved into more than 300 h of ...

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 ...