Optimizing complex systems—from discovering therapeutic drugs to designing high-performance materials—remains a fundamental challenge across science and engineering, as the underlying rules are often ...

Recent advances in lensless, flat camera designs hold the promise of significantly reducing size and weight by replacing bulky lenses with thin optical elements that modulate incoming light. However, ...

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

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

With so much money flooding into AI startups, it’s a good time to be an AI researcher with an idea to test out. And if the idea is novel enough, it might be easier to get the resources you need as an ...

Google says that DiffusionGemma can generate more than 1,000 tokens per second when running on a single H100, a server-grade GPU that Nvidia Corp. launched in 2022. The model can generate over 700 ...

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 ...

DiffusionGemma generates text up to 4x faster than traditional models by producing entire blocks simultaneously, achieving roughly 1,479 tokens per second.