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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, ...
A new study finds that artificial intelligence systems that are designed with a biologically inspired architecture can ...
Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...
Tech Xplore on MSN
Small changes make some AI systems more brain-like than others
Artificial intelligence systems that are designed with a biologically inspired architecture can simulate human brain activity ...
Tech Xplore on MSN
An AI system for real-time fault detection in rail transport
Railway infrastructure could be made safer and more reliable using AI, artificial intelligence, according to research ...
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 ...
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A quantum neural network can see optical illusions like humans do. Could it be the future of AI?
Optical illusions, quantum mechanics and neural networks might seem to be quite unrelated topics at first glance. However, in new research published in APL Machine Learning, I have used a phenomenon ...
Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...
MicroCloud Hologram Inc. has announced the creation of a noise-resistant Deep Quantum Neural Network (DQNN) architecture, which aims to advance quantum computing and enhance the efficiency of quantum ...
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