3. Subpopulation analysis. To perform subpopulation analysis in ML bias detection, the training data set is typically divided into different subgroups depending on the algorithm's specification.

The Food and Drug Administration (FDA) has cleared the Eko Murmur Analysis Software, a cloud-based machine learning algorithm, to detect and characterize heart murmurs in adults and pediatric ...

Researchers at Edith Cowan University (ECU) have developed a cutting-edge Artificial Intelligence (AI) system that could ...

Hackers are constantly evolving their strategies to outsmart traditional security measures, even through the use of AI. In ...

Our deepfake detection prototype framework can ingest modes of data and detect at least three types of AI artifacts for each ...

Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms, and explain how those algorithms relate to the creation of models for prediction, classification ...

Sysdig Machine Learning-Powered Cloud Detection and Response Block cryptominers with 99% precision: Sysdig Secure machine learning is trained to automatically detect cryptominers.

Researchers are applying machine learning algorithms to help interpret massive amounts of ground deformation data collected with Interferometric Synthetic Aperture Radar (InSAR) satellites; the ...

How can machine learning algorithms help in fraud detection and prevention? Machine learning algorithms are designed to recognize patterns based on a large amount of data, which can be leveraged ...