Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

We've been watching temperatures climb, extreme weather events intensify, and ice sheets shrink. Every weather forecast and climate projection relies on incredibly complex computer simulations that ...

Climate change and evolving growing conditions present new challenges for breeding. It is important to take local environmental conditions into account. An international team led by the IPK Leibniz ...

Diffusion models gradually refine and produce a requested output, sometimes starting from random noise—values generated by the model itself—and sometimes working from user-provided data. Think of ...

A novel multi-task XGBoost model shows robust overall performance in predicting antimicrobial resistance in common gram-negative pathogens.