This report highlights the recent developments in authentication, digital watermarking, and human-centric AI. The field of authentication and deepfake detection is rapidly evolving, with a focus on developing more robust and reliable methods for verifying the authenticity of voices, images, and videos. Notable papers include Beyond the Voice: Inertial Sensing of Mouth Motion for High Security Speech Verification and Scaling Laws for Deepfake Detection.

In digital watermarking and model provenance, researchers are exploring new approaches to watermarking, including dual-space smoothing and model editing. Noteworthy papers include DSSmoothing and EditMark. The field of artificial intelligence and ambient intelligence is moving towards a more human-centric approach, with a focus on eliciting emotions and creating immersive experiences. Researchers are exploring the potential of AI to generate music, create interactive art installations, and provide personalized stress relief.

The field of face recognition and deepfake detection is rapidly evolving, with a focus on improving the accuracy and robustness of models. Notable papers include QCFace and EDVD-LLaMA. Finally, the field of affective computing is moving towards more nuanced and comprehensive understanding of human emotions, with a focus on real-world applications and longitudinal studies. Noteworthy papers include WELD, Improving Micro-Expression Recognition with Phase-Aware Temporal Augmentation, and Call-Center Staff Scheduling Considering Performance Evolution under Emotional Stress.

Overall, these developments highlight the growing importance of authentication, digital watermarking, and human-centric AI in various fields. As these technologies continue to evolve, we can expect to see more innovative applications and advancements in the future.