From industrial robots to self-driving cars, engineers face a common problem: keeping machines steady and predictable. When ...

If you’ve ever watched a heist movie, you know the drill: before the actual robbery, the crew runs through simulations, testing security systems, identifying weak points, and rehearsing their approach ...

Dynamic drop testing ensures reliable material characterisation for polymers, composites, & safety-critical applications ...

React4Life’s Silvia Scaglione emphasizes how organ-on-chip tech and AI are reshaping drug testing, personalized treatment, ...

Ant Group, an affiliate of Alibaba, released Ring-1T which it says is the first trillion parameter open-source model.

There has been growing interest in the adoption of complex systems approaches to tackle major public health challenges such as obesity. This perspective redirects focus from individually oriented and ...

How is ERCOT addressing challenges in energy grid planning that are being driven by the unprecedented nature of energy demand ...

Traditional strategic planning—often in the form of comprehensive five- or 10-year plans—struggles to stay relevant in such a ...

AI refers to a machine-based system and ML refers to a set of techniques that can be used to train AI algorithms (2) so ML ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Learn how Claude skills enable scalable, continually learning AI systems for tasks like code reviews and brand compliance.

For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...