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Overparameterized neural networks: Feature learning precedes overfitting, research finds
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...
Artificial intelligence startup Anthropic PBC says it has come up with a way to get a better understanding of the behavior of the neural networks that power its AI algorithms. Because neural networks ...
Scientists at La Jolla Institute for Immunology (LJI) are pioneering new methods in machine learning to better understand the inner workings of our cells. In a recent Genome Biology study, LJI ...
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Kolmogorov-Arnold networks bridge AI and scientific discovery by increasing interpretability
AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...
Neurons in the human brain form an astonishing number of connections; it's thought that there are anywhere from tens of billions to trillions of links. Scientists that are seeking to understand those ...
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