In recent years, clustering methods based on deep generative models have received great attention in various unsupervised applications, due to their capabilities for learning promising latent ...

A deep generative model based on a variational autoencoder (VAE), conditioned simultaneously by two target properties, is developed to inverse design stable magnetic materials. The structure of the ...

Deep generative models such as the generative adversarial network (GAN) and the variational autoencoder (VAE) have obtained increasing attention in a wide variety of applications. Nevertheless, the ...

The funding will support Motorica’s rapid expansion, scaling of its proprietary AI platform and continued investment in R&D to shape the future of instant character animation.

Built on Deep Research and Data Motorica’s technology is rooted in breakthrough academic work by co-founders Gustav Henter and Simon Alexanderson, who developed the world’s first deep generative model ...

The logic behind this approach is centered on the idea that many deep learning methods (especially generative methods) were designed for images and developing methodologies for defining crystal ...