AI Researchers From UT Austin and UC Berkeley Introduce Ambient Diffusion: An AI Framework To Train/Finetune Diffusion Models Given Only Corrupted Data As Input
Sakana AI Introduces KAME: A Tandem Speech-to-Speech Architecture That Injects LLM Knowledge in Real Time
Google Introduces Simula: A Reasoning-First Framework for Generating Controllable, Scalable Synthetic Datasets Across Specialized AI Domains
