Elon Musk is once again predicting the end of a technology most people still consider indispensable, arguing that the ...

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

By applying machine learning to experimental data in materials science, it may be possible to replicate such intuition ...

Earthquakes happen daily, sometimes with devastating consequences, yet predicting them remains out of reach. What scientists ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

This paper summarizes the research status and technical progress of photovoltaic system power prediction. With the acceleration of the global energy transition, solar energy, as a clean and ...

A new AI model is opening the black box of the leading artificial intelligence tool for predicting how proteins will interact with small molecules, such as drugs. The model, OpenFold3, which launched ...

The Indian monsoon, which usually begins its slow northward sweep around the start of June, brings three-quarters of the country’s annual rainfall. That makes it essential for agriculture, on which ...