Powering the model is a custom variational autoencoder -- a neural network that "encodes" an input molecule into a vector, which is basically a storage space for the molecule's structural data ...

A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data. VAEs share some architectural similarities with regular neural autoencoders (AEs) but an AE is not ...

In this article, we propose a self-augmentation strategy for improving ML-based device modeling using variational autoencoder (VAE)-based techniques. These techniques require a small number of ...

VANCOUVER, British Columbia--(BUSINESS WIRE)--Variational AI, the company behind Enki™, an advanced foundation model for small molecule drug discovery, today announced the completion of its ...

The team proposes a novel graph-to-sequence (graph2seq) asymmetric structure, which is different from the classical sequence-to-sequence (seq2seq) and graph-to-graph (graph2graph) variational auto ...

"The Variational AI scientific team has spent years quietly building a foundation model constrained to small molecule drug discovery that uses orders of magnitude less compute and data than ...