This application of the "Variational AutoEncoder" deep-learning model is an example of how machine learning can be used to interpret and extract meaning from difficult data sets that are too ...

A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic ... basic stochastic gradient descent with a decaying learning rate schedule works better. Using the VAE ...

AI is being used to model gene regulation and predict cellular behavior from transcriptomic data. Learn how these tools aid ...

A technical paper titled “Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning Techniques” was ... for improving ML-based device modeling using variational ...