This review explores how generative AI, through models like VAEs, GANs, transformers, and diffusion networks is ...

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

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 ...

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

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 ...

There are many new developments in the field of artificial intelligence, and one of the most exciting and transformative ideas are Generative Adversarial Networks (GANs). Here we explain in simple ...