AI learns to hear emotion in solo violin through contrastive self-teaching
A new contrastive learning framework adapts a speech-trained HuBERT model to unlabeled violin recordings, achieving the best reported correlations with ...
A new contrastive learning framework adapts a speech-trained HuBERT model to unlabeled violin recordings, achieving the best reported correlations with ...
SALF-Net outperformed self-supervised baselines on a 30,000-clip short-video test set, while a distilled version retained 95% of its quality at ...
A self-supervised transformer model trained on more than 4,400 fetal heart rate recordings from Tanzanian hospitals can reconstruct missing signal ...
Researchers developed MC-RemixIT, a self-supervised AI framework that separates Hainan gibbon calls from complex rainforest noise without clean reference recordings ...
A self-supervised, physics-driven deep-learning method produced reliable functional brain maps with 20-fold accelerated MRI acquisitions in retrospective and prospective evaluations.
Recommender systems quietly shape much of modern digital life, deciding which films appear in your queue, which products surface in ...
A new iScience study introduces CSCC-PAG, a deep learning framework that combines domain-specific pre-training with self-supervised domain adaptation to improve ...
Alzheimer's disease affects tens of millions of people worldwide, and the World Health Organization estimates that over 55 million people ...
A neural network trained on unlabeled drone imagery of lupine, maize, soybean, and sunflower taught itself to distinguish crop types ...
A new self-supervised framework combining joint-embedding prediction and bidirectional Mamba learns diagnostic ECG representations without labeled data, outperforming prior baselines ...
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© 2026 Scienmag - Science Magazine