Local factors such as seasonal temperature, the year-dependent water and vegetation index, and data on animal density can be used to predict regional outbreaks of avian flu in Europe.

Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools ...

Floods account for up to 40% of weather-related disasters worldwide, and their frequency has more than doubled since 2000, according to a recent report from the United Nations Office for Disaster Risk ...

Machine learning is expanding scientists’ catalogs of quakes and refining maps of underground faults. It also promises to ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

In-context learning has the potential to revolutionize how machines acquire knowledge—enabling them to adapt, reason, and ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

By enhancing forecast precision, the system enables governments to preempt budgetary imbalances, reduce waste, and optimize spending efficiency. The authors argue that the combination of machine ...

Implementing AI and machine learning solutions for detecting railroad trespassers offers substantial benefits, with ...

A new framework integrates graph databases with real-time machine learning to enhance fraud detection and risk control in digital finance. By ...