D seismic scans and machine learning have been employed to trace hidden branches through five major faults beneath China’s ...

One of the challenges with existing fraud detection systems is that they are primarily rules-based, using predefined notions of what constitutes fraudulent or suspicious behavior. The problem is that ...

A combination of drone-based remote sensing and machine learning could help researchers monitor soil health across larger areas, according to a University of Alberta study.

Machine learning models that incorporate genome-wide markers for environmental responsiveness have improved cross-environment ...

It's a commonplace of artificial intelligence to say that machine learning, which depends on vast amounts of data, functions by finding patterns in data. The phrase, "finding patterns in data," in ...

Machine learning has infiltrated much of the technology consumers and businesses use on a regular basis. Widespread adoption of this subset of artificial intelligence may have seemed futuristic not ...

In a recent study published in Nature Communications, the Vorholt lab investigated the properties of plant microbiota involved in host protection against pathogen colonization. They identified the ...

Having developed many end-to-end machine learning (ML) and artificial intelligence (AI) systems as an AI scientist, AI product owner or chief scientist, I’ve seen how software engineering managers ...

A systematic review of 27 studies finds machine learning is transforming research on living environments, activity, and ...