Recent advances in neuroscience, cognitive science, and artificial intelligence are converging on the need for representations that are at once distributed, ...

This study explores the potential of applying machine learning (ML) methods to identify and predict areas at risk of food insufficiency using a parsimonious set of publicly available data sources. We ...

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...

Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...

In January this year, an announcement from China rocked the world of artificial intelligence. The firm DeepSeek released its ...

With new UK clinical trial rules landing in 2026, the EU Biotech Act on the horizon and China and Australia gaining ground, ...