In the rapidly evolving world of Large Language Models (LLMs), a quiet but critical tug-of-war is taking place over how we ...

Data quality problems are systemic in agriculture, the researchers note. Historical reliance on local practices, fragmented ...

Data visualization techniques for representing high-degree interactions and nuanced data structures. Contemporary linear model variants that incorporate machine learning and are appropriate for use in ...

Two of the biggest questions associated with AI are “why does AI do what it does”? and “how does it do it?” Depending on the context in which the AI algorithm is used, those questions can be mere ...

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

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...