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

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.

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.

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.

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

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

AI-driven drug discovery, using LLMs and diffusion models, has improved drug design and reduced timelines. Although promising ...

Looking forward to Deepseek integrating this into their next LLM in a few weeks and cutting costs by half yet again. Not sure how the American AI companies are supposed to ever achieve profit. AI ...

A generative AI model trained on more than 2,200 burger recipes has produced new burger formulations designed to optimize taste, nutrition and environmental ...

AI is transforming 3D printing by making design as intuitive as conversation, shifting the industry's focus to seamless ...

Creative work already trained the AI models replacing its makers. Judges now disagree on whether that counts as theft or fair ...

Patronus AI today announced a $50 million Series B led by Greenfield Partners and unveiled its Digital World Models, a new class of large-scale simulation environments designed to help AI systems ...