AI Learns to Scrub Bias From Fake Data Before It Poisons Real Decisions
Researchers have unveiled SENNA, a framework that combines disentangled semantic representations with large language models to generate synthetic tabular data ...
Researchers have unveiled SENNA, a framework that combines disentangled semantic representations with large language models to generate synthetic tabular data ...
Researchers in Mexico have built an AI pipeline combining SAM2, Florence2 and Stable Diffusion XL to detect and segment cracks ...
Researchers have developed Adaptive-CGAN, a generative AI framework that produces realistic synthetic chest X-rays, lifts diagnostic accuracy to 99.60 percent, ...
Researchers in Basel generated synthetic scoliosis-like CT scans by warping healthy spines, boosting AI segmentation accuracy on severely deformed vertebrae ...
A massive audit of 20 large language model configurations simulating the Global Preference Survey across 74 countries finds that AI-generated ...
A new graph-attention-based generative adversarial network called GARAGE produces realistic synthetic single-cell RNA-seq data that preserves rare cell types and ...
A new PLOS Mental Health review proposes a lifecycle framework for using generative AI in psychological measurement while warning that ...
A systematic study shows that carefully engineered synthetic orchard imagery, refined to match real annotation geometry and mixed with a ...
Researchers generated 48,600 AI-designed apartment buildings with identical floor areas and found that architectural design choices alone can nearly quadruple ...
A first-of-its-kind survey maps how data perturbation, synthetic rendering, and generative models are transforming AI systems that detect, track, and ...
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© 2025 Scienmag - Science Magazine