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 ...
Machine learning models that incorporate genome-wide markers for environmental responsiveness have improved cross-environment ...
Researchers used hierarchical agglomerative clustering to sort the Veterans Health Administration's eighteen regions into four interpretable profiles that align with differences in Clinical ...
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 ...
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Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks
Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...
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 ...
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