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A blog post by Günter Klambauer providing an illustrated overview of recurrence in neural networks, tracing its history from Amari-Hopfield Nets to mentions of GPT-6 Astra and categorizing various architectures based on recurrence patterns.
RF-DETR introduces a lightweight detection transformer that uses weight-sharing neural architecture search to achieve state-of-the-art real-time object detection, outperforming prior methods on COCO and Roboflow100-VL while running up to 20x faster.