Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

Deep learning has emerged as a transformative paradigm in modern computational science, leveraging neural networks to approximate complex functions across a variety of domains. Central to this ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest ...

The future of conflict prediction relies on combining technical ability, institutional governance and ethical responsibility.

Most contemporary artificial intelligence (AI) systems learn to complete tasks via machine learning and deep learning. Machine learning is a computational approach that allows models to uncover ...

Researcher have developed a "Shallow Brain" AI model that mimics the connections between the cortex and subcortical regions, ...

The tiny worm Caenorhabditis elegans has a brain just about the width of a human hair. Yet this animal’s itty-bitty organ coordinates and computes complex movements as the worm forages for food. “When ...

A new review examines how insertion and deletion (indel) errors disrupt data synchronization in modern communication systems.

• Leaf vein network geometry can predict levels of resource transport, defence and mechanical support that operate at different spatial scales. However, it is challenging to quantify network ...

Trying to find a whale song in the ocean is like trying to find a needle in a haystack. But now, UNSW Sydney researchers say they've trained a model, with just a single case study, to find blue whale ...

A misconception is currently thriving in the industry that one can become a Generative AI expert without learning ...