Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

The team utilized machine learning to analyze public data from the National Health and Nutrition Examination Survey.

Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...

Fraud remains one of the biggest challenges for betting platforms. This article explains how machine learning helps spot ...