Diffusion models excel at generating high-quality images and are easy to scale, making them highly popular among active users. Meanwhile, diffusion-based text-to-image models have demonstrated ...

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

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Multi-modal models that can process both ...

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

A latent diffusion model pre-trained on pairs of natural images and text descriptors can be adapted to generate realistic chest radiographs that are controlled by free-form medical text prompts.

Following a string of controversies stemming from technical hiccups and licensing changes, AI startup Stability AI has announced its latest family of image-generation models. The new Stable Diffusion ...

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.

It used to be easy enough to distinguish between human-made and AI-generated imagery — just two years ago, you couldn’t use image models to create a menu for a Mexican restaurant without inventing new ...

Use left and right arrow keys to seek audio. 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 ...

The boffins on Google’s DeepMind team unveiled an experimental new language model this week that uses techniques originally developed for AI image generators to boost text output performance by as ...

Rather than generating text word by word, Google's experimental open-source model drafts entire passages simultaneously using diffusion, resulting in up to 4x faster inference.