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 ...

Machine learning is helping cyber teams process telemetry at scale to more quickly identify behavioral anomalies that might ...

Abnormal AI’s John Sourk said AI could help agencies strengthen email security by detecting behavioral anomalies and social ...

The use of generative AI enables a novel computational approach to localize individual trees in all cities, despite their ...

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 ...