For the first time, researchers at Leipzig University have shown that tiny synthetic microswimmers can perceive their surroundings directly through their own body shape and autonomously adapt to ...

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

Industrial AI is moving toward applications, as manufacturers concentrate investment where realized value is greater.

A defining challenge facing agentic AI may not be model capability, but rather its containment and governance.

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 ...

Founder and Chief Scientific Officer at Maisa, is an AI researcher and engineer focused on developing reliable, enterprise-grade artificial intelligence systems. He co-founded Maisa in 2024 to build ...

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 ...

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 ...

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 ...

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

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