Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...

Researchers have used a machine learning model to identify three compounds that could combat aging. They say their approach could be an effective way of identifying new drugs, especially for complex ...

Acknowledging the pain points of the NOVA classification system, researchers have developed a machine learning algorithm to accurately predict the degree of processing for any food. The extent to ...

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...

Please provide your email address to receive an email when new articles are posted on . A novel machine learning algorithm could improve the predictive capacity for ACL reconstruction revision ...

When it comes to machine learning, there are some broad concepts and terms that everyone in search should know. We should all know where machine learning is used, and the different types of machine ...