Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Validating drug production processes need not be a headache, according to AI researchers who say machine learning (ML) could be a single answer to biopharma’s multivariate problem. The FDA defines ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

Healthcare professionals from back-office procurement officials to c-suite finance executives are witnessing fiscal stresses on their organizations today at all levels of scale and scope of operation.

Demand for machine learning is skyrocketing. This growth is driven not only by “middle adopters” recognizing the vast potential of machine learning after watching early adopters benefit from its use, ...

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 ...

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 ...

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 ...

The recent advent of AI is transforming daily life from streamlining routine tasks to augmenting productivity and ...