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 ...

Google's open-source diffusion language model generates 256 tokens in parallel and self-corrects, hitting 4x speed on one GPU ...

Instagram's Your Algorithm lets users fine-tune LLM-powered recommendations from topics to moods, marking Adam Mosseri’s ...

People communicate with each other, sometimes face to face, sometimes with a text message or phone call. Cells also ...

The the second Google core update of 2026 was a big one, causing a lot of search ranking volatility over the rollout.

GAINESVILLE, Fla.--(BUSINESS WIRE)--Neuropacs™ Corp., an innovator in AI-enabled neurological imaging, today announced that the U.S. Food and Drug Administration has granted De Novo classification to ...

Abstract: For distributed estimation arising in the nonlinear least squares (NLLSs) problems over adaptive networks, where every node has the abilities of data processing and learning, only the ...

Abstract: With the widespread adoption of mobile smart devices and the Internet, a new paradigm known as Mobile Crowdsourcing (MCS) has emerged, which can provide efficient execution of large-scale ...

Real-world low-resolution (LR) videos have diverse and complex degradations, imposing great challenges on video super-resolution (VSR) algorithms to reproduce their high-resolution (HR) counterparts ...

A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...

This is the official implementation for our NeurIPS 2025 paper "Scaling Diffusion Transformers Efficiently via μP". We verify that μP enables stable hyperparameter (HP) transfer from small to large ...