MicroCloud Hologram Inc. announces a noise-resistant Deep Quantum Neural Network architecture, advancing quantum computing and machine learning efficiency.

Tropical geometry has recently found several applications in the analysis of neural networks with piecewise linear activation functions. This article presents a new look at the problem of tropical ...

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In 1982 physicist John Hopfield translated this theoretical neuroscience concept into the artificial intelligence realm, with the formulation of the Hopfield network. In doing so, not only did he ...

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Abstract: A convex hull algorithm for neural networks is presented. It is applicable in both two and three dimensions and has a time complexity of O (N) for the offline case, O (log N) for the online ...

It's an AI-based upscaling solution that utilizes Recurrent Neural Networks (RNN), but to enable PSSR, Sony first had to create what it calls a "fully fused network." ...

An Alternative to Conventional Neural Networks Could Help Reveal What AI Is Doing behind the Scenes Despite their performance, current AI models have major weaknesses: they require enormous ...

Inspired by microscopic worms, Liquid AI’s founders developed a more adaptive, less energy-hungry kind of neural network. Now the MIT spin-off is revealing several new ultraefficient models.