Recent advances in deep learning have significantly enhanced the accuracy and robustness of underwater acoustic source localisation, a field critical for maritime surveillance, environmental ...

Researchers from Cardiff University, Hohai University, and Spirent Communications developed a deep reinforcement learning ...

A new deep learning model from Cardiff University helps robots choose safer, more reliable paths—marking a shift from acrobatics to real-world navigation.

Researchers created a deep reinforcement learning model that lets robots adapt to visual changes, maintain localization, and ...

A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention ...

As next-generation mobile networks grow more complex, high-density 5G environments are placing enormous pressure on ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly a… ...

Navigating without a map is a difficult task for robots, especially when they can't reliably determine where they are. A new AI-powered solution helps robots overcome this challenge by training them ...