Imagine logging into your bank account, not to check a static balance, but to converse with a personalized financial architect that anticipates your next life milestone based on your behavioral ...

Chatbots now place orders, code assistants push updates, and autonomous agents comb production databases while you sleep.

Attention-guided generator with dual discriminator GAN for real-time video anomaly detection 2024 J-EAAI Model Video anomaly detection guided by clustering learning 2024 J-PR Model Toward Video ...

Abstract: Phishing is the process of deceiving or stealing private or confidential information through illicit means. This could lead to financial loss, loss of reputation, and identity theft. Hence, ...

This research is part of a joint initiative between the Cloud Security Alliance (CSA) and OWASP AI Exchange, building upon the previously published Agentic AI Red Teaming Guide. The objective of this ...

When AI-driven detection underperforms, the instinct is to tune the algorithm, retrain the model or push the vendor for a ...

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

Modern medical imaging increasingly relies on artificial intelligence to support detection, diagnosis, and prognostic ...

A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.

Unknown anomaly detection for unseen attacks, rare classes, and behavior that does not have enough supervised samples. Adaptive imbalance handling without GAN in the default path. For CICIDS2017, the ...