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

Deep learning improves brain tumour detection accuracy and reduces false positives in MRI, supporting faster and more ...

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 ...

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 ...

A chair can still look like a chair even when its surface is reduced to a sparse cloud of points. Humans are remarkably good ...

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity. It detects small electrical signals produced when neurons in the brain ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

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