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

Back in the ancient days of machine learning, before you could use large language models (LLMs) as foundations for tuned models, you essentially had to train every possible machine learning model on ...

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

Two recent developments in artificial intelligence (AI) and machine learning have the potential to accelerate product development by streamlining materials research. Israel-based MaterialsZone, a ...

Every day, thousands of marines perform routine data-collection tasks and make hundreds of data-based decisions. They compile manning data on whiteboards to decide to staff units, screenshot weather ...

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

A novel machine learning-based algorithm can predict individualized risk of death and complications after PCI, as demonstrated in a new analysis. The Blue Cross Blue Shield of Michigan Cardiovascular ...

Being able to explain how machine learning models work has been a point of contention since the technology’s inception. Bloomberg is set to release further empirical metrics, at the end of this year, ...