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Researchers Propose a Novel Representation Learning Framework to Address the Lack of Causal Characterization in Deep Learning Models

Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...

Application of Deep Learning in Off-Duty Detection

Off-duty detection technology is gradually becoming an important tool for modern enterprises in fine management and safety ...