The developed model modified Schrödinger bridge-type diffusion models to add noise to real data through the encoder and reconstructed samples through the decoder. It uses two objective functions, 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) ...

A major new systematic review finds that explainability has become the weakest link in the generative AI ecosystem, with ...

Generative A.I. is a subset of artificial intelligence that focuses on creating new content, insights, or solutions by generating original and creative outputs. Unlike traditional A.I. systems that ...

Researchers from George Washington University filed for protection of a system and method that leverages generative models, specifically Variational Autoencoders, to conduct functional connectivity ...

If you're looking for a global update on the world of patents and generative AI (GenAI), look no further than the recent Patent Landscape Report: Generative AI by the World Intellectual Property ...

Before the emergence of trained AI models, the concept of generative AI revolved around the idea of creating intelligent systems that could generate new and original content. One of the earliest ...

This course provides a comprehensive introduction to diffusion models and flow models for generative AI, covering both theoretical foundations and methodological advancements. The course is divided ...

The key to unlocking the full potential of generative AI lies in prompt engineering—the art of crafting the right instructions to guide the AI towards generating the desired outcome. As AI becomes ...