Researchers in the Graduate School of Advanced Science and Engineering at Waseda University, Japan, say they have introduced RaptGen, a variational autoencoder (VAE) that can be used for aptamer ...

Disentangled variational autoencoder (D-VAE) separates materials properties from the latent space by conditioning to make inverse materials design more efficient and transparent. It combines labeled ...

Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...

A technical paper titled “Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning Techniques” was published by researchers at Commonwealth Scientific and ...

CompatibL wins the Best modelling innovation award for the second year running, this time for creating a new type of interest rate model based on autoencoders. Until now, interest rate models have ...

Anomaly detection is the process of finding items in a dataset that are different in some way from the majority of the items. For example, you could examine a dataset of credit card transactions to ...