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

Using a deep learning model to analyze the composition of large muscles on MRI, German researchers found that the proportions ...

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

Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily ...

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 ...

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

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 ...

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 ...

Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...

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