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AI trained on sleep data predicts future disease and mortality years in advance

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Language shapes visual processing in both human brains and AI models, study finds

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...
IEEE

Semantic-Aware Late-Stage Supervised Contrastive Learning for Fine-Grained Action Recognition

Abstract: Fine-grained action recognition typically faces challenges with lower inter-class variances and higher intra-class variances. Supervised contrastive learning is inherently suitable for this ...
IEEE

An Open-Set Semi-Supervised Contrastive Learning for Bearing Fault Diagnosis

Abstract: Deep learning-based bearing fault diagnosis methods typically require a substantial amount of labeled data, which are expensive and time-consuming to obtain. Semi-supervised learning (SSL) ...