Floods account for up to 40% of weather-related disasters worldwide, and their frequency has more than doubled since 2000, ...

Scientists at the University of Glasgow have harnessed a powerful supercomputer, normally used by astronomers and physicists ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

Google Earth is harnessing the power of artificial intelligence to revolutionize the way we detect and respond to weather ...

Abstract: Sepsis remains one of the leading causes of mortality in the Intensive Care Unit (ICU), with early risk stratification playing a critical role in improving patient outcomes. While various ...

During an epidemic, some of the most critical questions for healthcare decision-makers are the hardest ones to answer: When ...

A new large language model predicts the properties of lasso peptides, natural products of bacteria that have therapeutic ...

Advanced UAV sensor integration and machine learning may improve corn AGB predictions, providing scalable solutions for ...

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.

Coupled with the rapidly emerging technology of quantum computing, advancements in weather prediction will greatly benefit ...

A researcher has proposed a more targeted approach to AI drug discovery, which includes a rigorous evaluation protocol.

Researchers at the University of Surrey developed an AI that predicts what a person’s knee X-ray will look like in a year, ...