Could the Innovation in Non-Human Identities Be the Key to Enhanced Secrets Security? Where progressively leaning towards automation and digital transformation, how can we ensure that the creation and ...

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...

Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.

Read more about Privacy-by-design AI targets mind wandering and disengagement in digital classrooms on Devdiscourse ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV ...

Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...

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, ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

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

TinyML sensors detect chainsaws, gunshots, and animal calls offline, offering a new way to protect wildlife in remote ...