Nvidia introduces Diffusion Nemotron, a 60-billion parameter two-tower AI model that uses parallel block processing to speed up text generation.

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

Archaeologists working in southeastern Turkey have identified construction layers at a site called Çakmaktepe that could push ...

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

In this case, the gene encoding T7 RNA polymerase was added to the SpudCell genome, and it was made by those artificial cells ...

Deploying DFlash block diffusion on NVIDIA hardware accelerates autoregressive LLMs during latency-sensitive inference.

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.

A drop of dye added to a glass of water undergoes ordinary diffusion. However, when placed on the surface of a foam, the dye spreads differently—diffusion becomes anomalous. An example of this is the ...

DiffusionGemma writes a whole chunk of text in one go and then keeps polishing it rather than building it word by word. Google says it can be up to 4x faster, hitting 1,000+ tokens per second on ...