Contorlnet Plugin Upgrade, Supporting IPadapter FaceID Model

Meta Launches Face Recognition Anti-Fraud Trial in UK, Plans Wider Rollout After Regulatory Approval

Microsoft's Face Check Face Recognition Technology Officially Launched to Enhance Business Identity Verification Security

Microsoft has fully opened its facial recognition technology Face Check to businesses, aiming to provide more secure identity verification services. By combining users' selfies with verified identity photos, the technology effectively prevents cybercrime, reducing attack pathways reliant on insecure verification methods by 65%. Face Check is integrated into Microsoft Entra's digital identity services, using deep learning algorithms to identify and thwart deep fakes and other deceptive tactics, thereby protecting user privacy. Companies can purchase the service separately, with a fee of $0.25 for each verification.

Heidelberg University Releases Optimized ControlNet Model ConTorlNetXS

Heidelberg University has launched ConTorlNetXS, an optimized version of the ControlNet model, significantly enhancing performance. ConTorlNetXS has only 1% of the original model's parameters, resulting in doubled inference and training times, yet it produces higher quality images with more precise control. The new architecture is named ControlNet-XS and excels in FID scores. By optimizing the ControlNet architecture, it addresses the issues of large models and reduced image quality.

SciMatch: AI-Powered Face Reading to Find Your Soulmate with 87% Accuracy

SciMatch is an application that utilizes AI and social sciences to identify personality traits through face reading and help users find potential soulmates with an accuracy of up to 87%. Users simply upload a selfie, and the application uses an AI algorithm called A.I.Ruby to analyze facial features and match them with suitable dating partners based on personality traits. The app provides various matching methods, including AI matching, manual likes, and real-time audio and video chat features.