A few years ago, a new kind of AI called a diffusion model appeared. Today, it powers tools like Stable Diffusion and Runway Gen-2, turning text prompts into high-quality images and even short videos.

All over the AI field, teams are unlocking new functionality by changing the ways that the models work. Some of this has to do with input compression and changing the memory requirements for LLMs, or ...

Quantum computing has recently emerged as a transformative technology. Yet, its promised advantages rely on efficiently translating quantum operations into viable physical realizations. Here we use ...

Google’s Diffusion Gemma introduces a bold shift in AI language modeling by adopting a diffusion-based architecture that processes tokens in parallel, rather than sequentially. As explained by Prompt ...

In a new study, Apple researchers present a diffusion model that can write up to 128 times faster than its counterparts. Here’s how it works. Here’s what you need to know for this study: LLMs such as ...

Another day, another AI model from Google. This time, Google DeepMind has released a new member of the Gemma 4 open model ...

The perception of images has gradually shifted from human visual cognition to the processing and analysis of images and multidimensional data by computers. Image segmentation is an application in the ...

Scientists have built a framework that gives generative AI systems like DALL·E 3 and Stable Diffusion a major boost by condensing them into smaller models — without compromising their quality. Popular ...

What if the future of text generation wasn’t just faster, but smarter and more adaptable? Enter Gemini Diffusion, a new approach that challenges the long-standing dominance of autoregressive models.

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A drop of dye added to a glass of water undergoes ordinary diffusion. However, when placed on the surface of a foam, the dye ...