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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, ...
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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 ...
Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...
Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...
If you are curious and want to learn how does AI work, well, follow our detailed explainer on Artificial Intelligence's ...
Safety applications: Detection of proximity to machines and systems ...
Researchers have developed an AI system that learns about the world via videos and demonstrates a notion of “surprise” when ...
Scientists have tapped into the power of neural networks to detect and locate gunshots connected to poaching with a web of ...
Advancing AI capabilities isn’t a solo effort – it takes cross-industry collaboration to make these systems a reality.
Google Research has unveiled Titans, a neural architecture using test-time training to actively memorize data, achieving effective recall at 2 million tokens.
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