Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...

Discover how artificial intelligence is enhancing fraud detection across online platforms, using real-time analytics and ...

Investigators developed and validated a masked autoencoder deep learning model using vision transformer technology to automate the detection and grading of nuclear cataracts from slit-lamp images.

The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...

A new study shows that self-supervised artificial intelligence may offer a more practical path for detecting concrete cracks ...

In today’s digital age, cyber threats are evolving faster than ever, forcing organizations to rethink traditional security measures. AI-powered cybersecurity ...

The Kill Chain models how an attack succeeds. The Attack Helix models how the offensive baseline improves. Tipping Points One person. Two AI subscriptions. Ten government agencies. 150 gigabytes of ...

Researchers at the University of Florida are developing artificial intelligence models to pinpoint early signs of sinkholes ...

AI and digital tools are shifting quality oversight in the pharmaceutical industry from retrospective testing to real-time, ...