Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and ...

But neural networks only predict based on patterns from the past—what happens when the weather does something that's unprecedented ... Swarming is one of the principal forms of bacterial ...

The implementation was developed on a field-programmable gate array (FPGA) and supports deep neural network (DNN) trained with the stacked sparse autoencoder (SSAE) technique. In order to allow DNNs ...

A novel multiscale variational autoencoder aided convolutional neural network (MSVAE-CNN) model is developed to estimate the current absolute 6-DoF pose of the tunneling machine in an end-to-end ...

This code aims at quantifying the uncertainty of mooring line fault detection predictions using a multivariate Gaussian mixture variational autoencoder. The scripts included in this code encompass ...

Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent ...