A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...
The work that we’re doing brings AI closer to human thinking,” said Mick Bonner, who teaches cognitive science at Hopkins.
Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...
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Taming Chaos In Neural Networks
The Lorenz attractor is an example of complex dynamical systems. Two neuroscientists have discovered a way to learn complex dynamics in a ...
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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, ...
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 integrated proximity and pressure sensors into a commercial bionic hand, and then trained an artificial neural ...
We have explained different types of Artificial Intelligence technology, from Narrow AI to AGI with examples so you can ...
In 1943, a pair of neuroscientists were trying to describe how the human nervous system works when they accidentally laid the foundation for artificial intelligence. In their mathematical framework ...
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