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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 ...
As enterprises become more extended and reach their footprints further, dealing with network complexity has become almost as important as network performance. The key to this is AI. But only if ...
The evolution of software architecture is contributing to increasing energy consumption.
The government has released details of a meeting of UK academic, industry and government representatives, as well as global technology and IT leaders, to look at the risks and opportunities posed by ...
Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...
Distributed operations using Ethernet, safety functionality and more sophisticated solutions that leverage the bandwidth of high-speed motion networks are the leading trends in the evolution of ...
Ian Foster is widely considered the founder of grid computing, the precursor to cloud computing. Foster is the Arthur Holly Compton Distinguished Service Professor of Computer Science at the ...
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