Another day, another AI model from Google. This time, Google DeepMind has released a new member of the Gemma 4 open model family, but it’s fundamentally different from the rest of the lineup.

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

Google recently released DiffusionGemma, and it's weird in the best way.

NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...

Generative artificial intelligence startup Stability AI Ltd. today announced the release of Stable Diffusion 3.5, which includes three next-generation open-source text-to-image AI model variants. The ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Stability AI, the company behind the popular Stable Diffusion ...

Stability AI, developer of open source models focused on text-to-image generation, has released Stable Diffusion 3.5, the latest version of its deep learning, text-to-image model. This release ...

Both models trade word-by-word generation for parallel denoising. Only one of them does it without losing intelligence in the ...

On Thursday, Stability AI announced Stable Diffusion 3, an open-weights next-generation image-synthesis model. It follows its predecessors by reportedly generating detailed, multi-subject images with ...

Text-to-3D content generation harnesses the power of neural diffusion models to translate natural language descriptions into three-dimensional representations. These frameworks typically leverage ...

Nonsense words can trick Stable Diffusion and DALL-E 2 into producing pictures that show violence and nudity. Popular text-to-image AI models can be prompted to ignore their safety filters and ...