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

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, ...

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

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

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 ...

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

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

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Data is the new fuel. The potential for machine learning and deep learning practitioners to make a breakthrough and drive positive outcomes is unprecedented. But how to take advantage of the myriad of ...

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