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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, ...
Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...
Researchers have developed an AI system that learns about the world via videos and demonstrates a notion of “surprise” when ...
A new NURBS-based algorithm is revolutionizing gridshell design by enabling faster, smoother, and more flexible shape-finding ...
Choosing the right blueprint can accelerate learning in visual AI systems. Artificial intelligence systems built with biologically inspired structures can produce activity patterns similar to those ...
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