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

Researchers at New York University have developed a new architecture for diffusion models that improves the semantic representation of the images they generate. “Diffusion Transformer with ...

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

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 ...

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

Generative AI and Recurrent Networks run on Q.ANT's Second-Generation Photonic Processor Complexity Model Graph Climbing the complexity ladder of AI Models Second Generation NPU Q.ANT Native ...

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 ...

Naveen Rao's Unconventional AI has released Un-0, an image generation model running on a simulated oscillator chip architecture it claims could slash power.

Un0 is an image-generation system tool that shows for the first time how the company's technology can replicate conventional ...

On Wednesday, Stability AI released Stable Diffusion XL 1.0 (SDXL), its next-generation open weights AI image synthesis model. It can generate novel images from text descriptions and produces more ...