Novel AI platform accelerates discovery of chemical catalysts for industry

CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical ...
GitHub

Project 1: Design of an Improved Model for Music Sequence Generation Using Conditional Variational Autoencoder and Conditional GAN

You can use any of our models with torch.hub.load. We provide 2 classes of models for each of our 3 submodels of the CVAE-WGAN architecture cvae-wgan submodels: - CVAE: Conditional Variational ...
Business Wire

Variational AI Announces Oversubscribed $5.5 Million Financing to Launch Foundation Model for Small Molecule Drug Discovery

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

Variational AI Enters Collaboration with Merck to Apply Generative AI to Drug Discovery

Variational AI, Inc., a generative AI drug discovery company, today announced a collaboration with Merck, known as MSD outside of the United States and Canada, to apply Variational AI’s Enki™ platform ...
IEEE

Conditional Generative Flow-Induced Variational Autoencoder for Plasma Instances Augmentation

Abstract: In this article, we propose a novel conditional generative flow-induced variational autoencoder (CGlow-VAE) model to address the critical challenge of the small sample issue in plasma ...
Frontiers

Deep conditional generative model for personalization of 12-lead electrocardiograms and cardiovascular risk prediction

Background: 12-lead electrocardiograms (ECGs) are a cornerstone for diagnosing and monitoring cardiovascular diseases (CVDs). They play a key role in detecting abnormalities such as arrhythmias and ...
Scientific Research Publishing

Jin, W., Barzilay, R. and Jaakkola, T. (2018) Junction Tree Variational Autoencoder for Molecular Graph Generation. International Conference on Machine Learning, Stockholm, 10 ...

ABSTRACT: Predicting molecular properties is essential for advancing for advancing drug discovery and design. Recently, Graph Neural Networks (GNNs) have gained prominence due to their ability to ...