Elon Musk is once again predicting the end of a technology most people still consider indispensable, arguing that the smartphone era is already in its final chapter and could vanish within a few years ...

Abstract: Data-driven methods learn patterns of oceanic variable changes directly from data without relying on explicit modeling of complex physical processes based on specific assumptions. This ...

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 ...

Since making a splash in Nevada in 2025, prediction markets could become a $1 trillion industry as they continue to grow, ...

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 ...

Making NFL picks always carries a bit more excitement when there's something on the line, and that's the case with the Week 17 NFL schedule. No less than half a dozen matchups carry postseason ...