Dual-Path AI Spots Defects by Reconstructing Images Two Ways at Once
Researchers at Shiv Nadar University have developed a dual-path AI framework that combines a residual gated autoencoder with patchwise nearest-neighbor ...
Researchers at Shiv Nadar University have developed a dual-path AI framework that combines a residual gated autoencoder with patchwise nearest-neighbor ...
Researchers at the Beijing Institute of Technology show that adding expert-vetted relational graphic structure to AI models enables retrieval of ...
Researchers have developed CROWN, a self-supervised visual foundation model pretrained on more than ten million cytology images that achieved top ...
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© 2025 Scienmag - Science Magazine