This Research Topic highlights recent advances in fractal geometry, fractional calculus, and artificial intelligence (AI) for addressing complex problems in ...

Aerospace testing methods reveal hidden risks in complex systems, ensuring reliability in AI-driven designs under real-world ...

Learn prompt engineering with this practical cheat sheet covering frameworks, techniques, and tips to get more accurate and ...

Treat incident response as an engineering system—from asset-aware detection to repeatable analysis and post-incident learning—driving measurable improvements.

Introduction As enterprise demand for digital transformation continues to expand, the evaluation of engineering service ...

Scientists have found a way to make AI much better at predicting complex, chaotic systems by tapping into the unique power of ...

Neurobots—xenobots with neurons—show self-organized nervous systems and enhanced behaviors, revealing new insights into how ...

Stanford research finds single-agent AI matches or outperforms multi-agent systems under equal compute budgets — with lower ...

Rising energy transmission needs are evolving pipelines into integrated, coupled Energy Transportation Systems (ETS), where ...

A research team led by Professor Kevin Tsia, a professor from the Department of Electrical and Computer Engineering under the Faculty of Engineering and the Programme Director of the Biomedical ...

Cells contain a wealth of information about health and disease, but extracting that data reliably from microscope images remains a major challenge. Many important differences between healthy and ...