#unsupervised-learning2 articles

2 articles

AIBullisharXiv – CS AI · 4h ago2

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Multimodal Optimal Transport for Unsupervised Temporal Segmentation in Surgical Robotics

Researchers developed TASOT, an unsupervised AI method for surgical phase recognition that combines visual and textual information without requiring expensive large-scale pre-training. The approach showed significant improvements over existing zero-shot methods across multiple surgical datasets, demonstrating that effective surgical AI can be achieved with more efficient training methods.

AIBullisharXiv – CS AI · 4h ago3

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An Efficient Unsupervised Federated Learning Approach for Anomaly Detection in Heterogeneous IoT Networks

Researchers propose an efficient unsupervised federated learning framework for anomaly detection in heterogeneous IoT networks that preserves privacy while leveraging shared features from multiple datasets. The approach uses explainable AI techniques like SHAP for transparency and demonstrates superior performance compared to conventional federated learning methods on real-world IoT datasets.