Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
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Residual connections explained: Preventing transformer failures
Training deep neural networks like Transformers is challenging. They suffering from vanishing gradients, ineffective weight ...
WIRED spoke with DeepMind’s Pushmeet Kohli about the recent past—and promising future—of the Nobel Prize-winning research ...
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