Abstract: Topic models are widely explored for summarizing a corpus of documents. Recent advances in Variational AutoEncoder (VAE) have enabled the development of black-box inference methods for topic ...

Abstract: Autoencoder (AE) is a deep neural network that has been widely utilized in process industry owing to its superior abilities of feature extraction and data reconstruction. Recently, assuming ...

Researchers have developed an artificial intelligence model that predicts crime more accurately than several existing ...

A Python implementation of the clustering algorithm presented in: Sheng He, Mingjing Du *, Xiang Jiang, Wenbin Zhang, Congyu Wang. VAEAT: Variational AutoeEncoder with adversarial training for ...

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For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...

The ferroelectric memory array performs both probabilistic latent variable sampling using RTN and deterministic decoding based on VMM. Seoul National University College of Engineering announced that a ...

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Researchers have demonstrated a ferroelectric memory chip that performs both random sampling and AI computation, paving the ...