Friday, October 13th, 2017, Baltimore, Maryland: Insilico Medicine announces the publication of a new research paper in Molecular Pharmaceutics titled: "druGAN: An Advanced Generative Adversarial ...

The Data Science Lab. Generating Synthetic Data Using a Generative Adversarial Network (GAN) with PyTorch. Dr. James McCaffrey of Microsoft Research explains a generative adversarial network, a deep ...

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 ...

Generative adversarial networks (GANs) are among the most versatile kinds of AI model architectures, and they're constantly improving. Skip to main content. Events Video Special Issues Jobs ...

In this study, Insilico Medicine researchers developed a new model, the Bidirectional Adversarial Autoencoder, that learns a joint distribution of molecular structures and induced transcriptional ...

Let’s take a closer look at how generative AI is changing the threat landscape and some techniques the security industry is adopting to turn the tables on the threat.

Artificial intelligence has become incredibly good at creating fake AI faces. Just look at this latest research from Nvidia as proof. But what problems will these AI fakes cause in the future?