Explaining the neural mechanisms underlying language-based, spontaneous categorization of visual words of alphabetic and non-alphabetic languages by combining electroencephalography, ...
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Brain-like learning rule cracks convolutional networks: Sakana AI measures the biology tax
Biologically plausible learning now reaches 96.7% on MNIST and 61.7% on CIFAR-10 without backpropagation, as Sakana AI ...
CMOs can't prove marketing's financial impact to the CFO. The real fix starts with scoping the job, not fixing the dashboard.
Analysis and insights for driving a rapid transition to net-zero while building resilience to physical climate impacts ...
Abstract: Deep neural networks (DNNs) trained via gradient descent (GD) with random initialization and without any regularization enjoy good generalization performance in practice despite being highly ...
Abstract: This paper reports on learning a reward map for social navigation in dynamic environments where the robot can reason about its path at any time, given agent trajectories and scene geometry.
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