Abstract: Face forgery detection suffers from cross-dataset generalization challenges, where performance degradation occurs due to distribution shifts between training and testing data. Recently, ...

Abstract: This study addresses the challenges of high latency, missed detections in high-coverage and multi-target face scenarios, and inefficiencies in traditional face recognition algorithms under ...

A developer reverse-engineering Anthropic's Claude Code binary discovered on June 30, 2026, that the tool had been silently encoding hidden signals into its AI system prompts for at least three months ...

ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...

Viettel AI has been granted a patent for matching the face biometrics of people who are wearing masks, or whose faces are otherwise occluded. Viettel AI (Viettel Data Services and Artificial ...

Studies by the National Institute of Standards and Technology (NIST) show that many commercial facial recognition algorithms have significantly higher error rates for ...

By focusing on six characteristics, the study claims you could reach "near-perfect accuracy" at detecting AI deepfakes.

Deepfake faces generated via artificial intelligence (AI) have become so realistic that they routinely fool people, with some ...