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    • Computer Vision: Edge detection, semantic segmentation, or 3D reconstruction using CNN-based features.
    • NLP: Transformer-based models for contextual embeddings (e.g., BERT-style architectures) to capture nuanced language patterns.
    • Anomaly Detection: Deep autoencoders or variational autoencoders (VAEs) to detect outliers in data.
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