A multicentre study of 607 Chinese psychiatric nurses used interpretable machine learning to identify perceived pressure, age ...

Researchers adapted a swarm intelligence algorithm modeled on great white shark hunting behavior to select the most informative genes from high-dimensional microarray cancer datasets, achieving top ...

A research team has developed a framework that combines machine learning with quantitative microbial risk assessment to ...

Signal phishing attacks by Russian intelligence have now been formally confirmed in five NATO countries after the Czech ...

Drinking water sources can contain diverse bacterial and viral pathogens, making reliable monitoring essential for public ...

Optimized AI models could help estimate concrete compressive strength in wastewater environments and support future ...

Source: Yoshitaka Tomiyama Published: 2020-03-04 / 44 minutes / 24,000 views Scope: The second in a series of explanations ...

Researchers have found a novel way to spot the biochemical signatures of Parkinson’s disease in fruit flies using a ...

Search for vectors similar to a given query vectors using an approximate nearest neighbors vector search algorithm. To learn more about how vector indexing and vector search works, and the differences ...

Machine learning sifted through years of LHC collisions, finding no tiny black holes while tightening limits on exotic physics.

Researchers used a hierarchical machine learning strategy to identify tungsten bronze oxides and guide bismuth and germanium ...