Far from simply a source of unstructured online content, disaster management in the digital age can be supported by careful analysis of online social-media data, suggests a paper published in Natural ...

Social media data are increasingly being analysed to support disaster preparedness, response, and recovery. A new ...

A year on from an initial blueprint, GDS has published its full roadmap of objectives for the next few years.

The technology provides assistance for everything from data crunching to taking reservations and learning about new dishes.

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking patterns and altered perceptions of reality, as well as mental impairments.

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

There is often no straightforward explanation for the various types of violence that occur around the world. In fact, even when using clear definitions (such as “Civil War,” “Invasion,” or “Local ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...

Scientists found 6 subgroups of prediabetes based on liver fat and metabolic risk to predict future type 2 diabetes and kidney disease risk.