Researchers at New York University have developed a new architecture for diffusion models that improves the semantic representation of the images they generate. “Diffusion Transformer with ...

Fig. 2 Architectures of generative AI models in medical imaging. (A) Generative adversarial network (GAN) comprising a generator and a discriminator. (B) Variational autoencoder (VAE) with an ...

Researchers present a new generative AI model that can simultaneously design catalyst structures and predict their performance under specific reaction conditions. CatDRX is a generative AI framework ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. There is a whole lot of merging going on. If that doesn’t ring ...

The wide availability of tools to build generative AI has led to a Cambrian explosion of startups in the space. Plentiful capital hasn’t hurt, either — nor has the declining cost of the requisite ...

Generative AI models are usually built on deep learning, where multi-layered neural networks scan through endless pieces of ...

Researchers have found that training successive generations of generative artificial intelligence models on synthetic data gives rise to self-consuming feedback loops. Generative artificial ...

IBM Corp. today made clear its intention to stay at the forefront of generative artificial intelligence development, announcing a host of updates to its year-old watsonx platform, including a new ...

Deep learning is a branch of machine learning based on algorithms that try to model high-level abstract representations of data by using multiple processing layers with complex structures. One of the ...

Artificial intelligence is no longer confined to data crunching and automation; it's making profound inroads into the creative industries. Generative models like generative adversarial networks (GANs) ...