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

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 ...

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

Home > Press release: Predicting Avian Flu Outbreaks in Europe ...

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

The researchers argue that the integration of explainable AI into clinical decision-making pipelines could reshape cancer ...

Researchers have developed a method to calculate whether someone's brain is aging faster or slower than their chronological ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...

Cyber threats are becoming faster and more sophisticated, leaving traditional defenses struggling to keep up. Artificial ...

Health care spending represents nearly $5 trillion of the United States economy, making it a prime target for scammers.