AI
Spotting AI-made images—without constant retraining Generative models evolve fast, making deepfake detectors go stale. This study introduces a two-stage method that adapts quickly to new image generators. * Stage 1: A vision model learns subtle “fingerprints” via supervised contrastive learning, trained while holding out some generator families to force cross-model
AI
Shopping sites host millions of product photos. Some slip through with offensive, non-compliant logos or messages, hurting customers and brands. This paper introduces an AI system that flags those images at massive scale. What’s new: a practical blend of image classification + object detection, tuned for messy, real-world retail catalogs.
AI
What if AI could argue with itself to spot misinformation—and change minds? Researchers introduce ED2D, an evidence-based multi-agent debate system. It doesn’t just label claims; it retrieves factual sources and generates clear debate transcripts so people can see the reasoning. * Outperforms prior methods on multiple detection benchmarks. * When