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.

Unlike conventional sustainability audits, which require time-consuming data collection and hardware deployment, this ...

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

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

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 ...

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 ...

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, ...

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

Groundbreaking study shows machine learning can decode emotions in seven ungulate species. A game-changer for animal welfare? Can artificial intelligence help us understand what animals feel? A ...