If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

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

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

Overview: AI-powered algorithms now drive a major share of global trading activity.Modern trading systems rely more on ...

Highlights Confirmation of Adelita as a large porphyry-skarn mineral system with vertically extensive feeder structures ...

These are young disruptors with huge opportunities.

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

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 ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Tools such as CRISPR can edit genes with precision, but the process of determining which genes to target is costly and slow, ...

Overview AI in soil health analysis enables faster, more accurate assessment of soil conditions using data from sensors, ...