For the first time, researchers at Leipzig University have shown that tiny synthetic microswimmers can perceive their ...

Machine learning is increasingly reshaping industrial condition monitoring, offering manufacturers earlier insights into equipment performance and helping reduce costly downtime.

A new study reports that machine learning with computer simulations could improve efficiency to 40.17 % in CH3NH3SnI3 perovskite solar cells, with a focus on design improvements for real-world ...

Towards the normativity of AI-driven BCI technologies in product liability in healthcare,” published in AI & Society. In their research, the researchers analyze how emerging AI-driven ...

While beating an AI at a board game may seem relatively trivial, it can help us identify failure modes of the AI, or ways in which we can improve their training to avoid having them develop these ...

Even if you don’t sew, you will likely recognise vintage Singer sewing machines, with their classic black and gold designs.

The study suggests that this combination of blockchain’s decentralized governance and AI’s analytical capabilities creates a mutually reinforcing technological relationship. Each technology can ...

Traditional hydraulics are falling away, as electric lift systems and quasi-direct drive (QDD) motors enable smarter, more ...

Not the foot itself, not the ground beneath it, but a sensation somewhere above the injury that her brain had learned to ...

Martial arts robots may play well on stage, but can they get work done? A look at what it takes to deliver the reliability and safety required for autonomous robotic systems ...

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

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.