Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

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 ...

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

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

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.

Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of configurations and complex patterns, making simulations ...

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

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...