Google DeepMind released DiffusionGemma on June 10, 2026, an experimental open-weights model that writes text using discrete ...

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

Rather than generating text word by word, Google's experimental open-source model drafts entire passages simultaneously using ...

The boffins on Google’s DeepMind team unveiled an experimental new language model this week that uses techniques originally ...

DiffusionGemma hits 1,000 tokens per second by ditching word-by-word generation entirely. It just doesn't run on most ...

Google's open-source diffusion language model generates 256 tokens in parallel and self-corrects, hitting 4x speed on one GPU ...

Most AI models are designed to be autoregressive—they generate text left to right one token at a time. DiffusionGemma has ...

Google says that DiffusionGemma can generate more than 1,000 tokens per second when running on a single H100, a server-grade ...

Google has introduced DiffusionGemma, an experimental open-weight AI model that explores diffusion-based text generation.

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 ...

A novel hierarchical deep learning framework enables direct Desikan-Killiany brain parcellation using only diffusion ...