Abstract: The unprecedented advancement of Artificial Intelligence (AI) has positioned Explainable AI (XAI) as a critical enabler in addressing the complexities of next-generation wireless ...

Andrew Ng sees AI as a revolution in the making, predicting continued progress despite controversies and claims of a bubble.

This was supposed to be the year when autonomous agents took over everyday tasks. The tech industry overpromised and ...

This is AI 2.0: not just retrieving information faster, but experiencing intelligence through sound, visuals, motion, and ...

Experts repeatedly point to privacy and security as key advantages of on-device AI. In a cloud situation, data is flying every which way and faces more moments of vulnerability. If it remains on an ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

Bosch and Cariad are working to develop autonomous systems that will eventually be capable of acting “as naturally as the human driver”. They are using an “AI-based software stack” that is currently ...

A new study suggests AI models like ChatGPT and Claude consistently overestimate how rational humans really are, leading them ...

If that’s left you feeling a little confused, fear not. As we near the end of 2025, our writers have taken a look back over the AI terms that dominated the year, for better or worse. Make sure you ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

AI could accelerate the energy transition, but widespread adoption is stalled by unresolved trust, risk and governance concerns across sectors.