Insilico Medicine presented an original deep neural network architecture, Entangled Conditional Adversarial Autoencoder (ECAAE), which generates molecular structures based on various properties ...

Generative adversarial autoencoder (AAE) architecture, an extension of generative adversarial networks, was used as the basis, and compounds with known medicinal properties and efficient ...

More often than not, these systems build upon generative adversarial networks (GANs), which are two-part AI models consisting of a generator that creates samples and a discriminator that attempts ...

image: Generative adversarial networks and deep reinforcement learning techniques are propagating into the many areas of pharmaceutical R&D, learning and augmenting human abilities. view more ...

Generative Adversarial Networks (GANs) - These work by pitting two competing algorithms against each other, one tasked with generating data that resembles its training data and another tasked with ...

Generative Adversarial Networks Generative Adversarial Networks (GANs) emerged in 2014 and quickly became one of the most effective models for generating synthetic content, both text and images.

Created using generative adversarial networks (GANs) made open source by Nvidia, the website generates an invented, photo-realistic image of human being with each refresh.

Design of diverse, functional mitochondrial targeting sequences across eukaryotic organisms using variational autoencoder. Nature Communications, 2025; 16 (1) DOI: 10.1038/s41467-025-59499-3 ...