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Why Digital Personas Are Expanding Into the Physical World

Generative AI has transformed how we create text, images, and video—but a deeper shift is already underway. AI is moving beyond the screen and into the real world, evolving from a system that

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Research

Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination

This study proposes NCAE, an autoencoder that generates confident normal samples to resist data contamination, improving unsupervised anomaly detection and matching semi-supervised performance.

Tech Brief

The New Era of Dynamic, Adaptive, and Interactive Engagement

AI is no longer just a tool that produces outputs. Today, AI is evolving into a system that understands user context and reshapes the flow of an experience in real time. This shift marks a move

Research

Real-Time, High-Fidelity Face Identity Swapping With a Vision Foundation Model

This study presents FaceChanger, a real-time 256×256 face-swapping model using VFM/CLIP features to improve identity preservation and pose robustness, outperforming prior methods.

Tech Brief

The Expansion of Intelligence Into the Real World

AI has long been confined to digital environments—generating text, creating images, analyzing data, and executing tasks entirely within screens and interfaces. However, the emergence of Physical AI

Research

Denoising Diffusion Model with Adversarial Learning for Unsupervised Anomaly Detection on Brain MRI Images (2025)

This study introduces ADDM, an adversarial diffusion-based anomaly detection method that preserves sample quality while cutting sampling steps by half, outperforming prior DDPM AD on brain MRI.

Tech Brief

Expanding Intelligence from Digital Systems to Real-World Execution

AI is shifting from systems that simply respond to queries into entities capable of understanding goals and executing tasks autonomously. This emerging class of AI—commonly described as AI Agents—

Research

Adversarial Diffusion Model for Unsupervised Domain-Adaptive Semantic Segmentation (2025)

This study presents ICCLD, a latent-diffusion segmentation model with inter-coder links and adversarial UDA, achieving state-of-the-art results on GTA5→Cityscapes and Synthia→Cityscapes.

Tech Brief

The Emergence of the Text-to-Living World Era

Generative AI has already transformed how text, images, and video are created. But a deeper shift is emerging—one that moves beyond producing isolated outputs toward generating entire environments

Research

MagicMask : A Fast and High-fidelity Face Swapping Method Robust to Face Pose (2025)

This study proposes MagicMask, a real-time face-swapping method that fuses visual and geometric cues for robust extreme-pose performance, using identity-aware geometry and AFSA loss.