COPPA 2.0 passes the Senate again, unanimously this time

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[9] Lillicrap, T. P., et al. (2016). Random synaptic feedback weights support error backpropagation for deep learning. Nature Communications, 7, 13276. (The DeepMind paper proving that the brain could learn using random backward wires via Feedback Alignment).,详情可参考heLLoword翻译官方下载

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To meet the growing demand for radiology artificial-intelligence tools, a 3D vision–language model called Merlin was trained on abdominal computed-tomography scans, radiology reports and electronic health records. Merlin demonstrated stronger off-the-shelf performance than did other vision–language models across three hospital sites distinct from the initial training centre, highlighting its potential for broader clinical adoption.