Neural network approximation techniques have emerged as a formidable approach in computational mathematics and machine learning, providing robust tools for approximating complex functions. By ...
In this paper we study neural networks and their approximating power in panel data models. We provide asymptotic guarantees on deep feed-forward neural network estimation of the conditional mean, ...
A new Concordia study published in npj Biomedical Innovations suggests that a simple 30-second electrocardiogram (ECG) reading from a smartwatch could accurately estimate a person's age—potentially ...
A new Concordia study published in the Nature journal npj Biomedical Innovations suggests that a simple 30-second ...
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Taming chaos in neural networks: A biologically plausible way
A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...
“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
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