Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

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

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

Data can feel overwhelming, especially when it’s scattered across spreadsheets, databases, and countless other sources. If you’ve ever stared at rows of numbers, wondering how to make sense of it all, ...

Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...