DiffusionData, a pioneer and leader in real-time data streaming, is releasing Diffusion 6.12, introducing enhancements that speed up development, optimize resource usage, and guarantee consistent, ...

1 Faculty of Computer Studies, Arab Open University, Riyadh, Saudi Arabia 2 Faculty of Computers and Information, Mansoura University, Mansoura, Egypt Brownian motion (BM) is a stochastic model that ...

We propose TraceRL, a trajectory-aware reinforcement learning method for diffusion language models, which demonstrates the best performance among RL approaches for DLMs. We also introduce a ...

Diffusion generative models have demonstrated remarkable success in visual domains such as image and video generation. They have also recently emerged as a promising approach in robotics, especially ...

Abstract: Denoising diffusion models have demonstrated tremendous success in modeling data distributions and synthesizing high-quality samples. In the 2D image domain, they have become the ...

Abstract: As one of the most popular and sought-after generative models in recent years, diffusion models have sparked the interests of many researchers and steadily shown excellent advantage in ...

Nvidia on Monday unveiled a set of new world AI models, libraries, and other infrastructure for robotics developers, most notable of which is Cosmos Reason, a 7-billion-parameter “reasoning” vision ...

What happens when a tech giant decides to rewrite the rules of the game? OpenAI’s recent release of GPT-OSS, a pair of powerful open weight semi source language models, has sent shockwaves through the ...

It seems like there are almost countless online tools these days that you can use to generate images powered by AI. You can use popular AI tools like ChatGPT, Midjourney, and Microsoft Copilot, among ...

AMD has officially enabled Stable Diffusion on its latest generation of Ryzen AI processors, bringing local generative AI image creation to systems equipped with XDNA 2 NPUs. The feature arrives ...