Jensen Huang GTC 2026 Keynote: NVIDIA Unveils "Physical AI" Architecture — Bridging the Gap Between Digital Intelligence and the Real World
At the NVIDIA GTC 2026 keynote in San Jose, CEO Jensen Huang unveiled the company's comprehensive "Physical AI" architecture, marking a paradigm shift from generative AI to AI that understands and interacts with the physical world. The announcement includes the new Vera Rubin platform, the Cosmos world foundation model family, the Alpamayo reasoning model for autonomous vehicles, and the Newton physics engine — together forming NVIDIA's vision for AI that comprehends gravity, friction, and inertia to power the next generation of robotics and autonomous systems
Stability AI Unveils Diffusion Transformer 3.0 (DiT v3) Architecture — Next-Gen MMDiT Powers Stable Diffusion 4 With 5x Training Efficiency and Native Video Support
Stability AI has officially announced Diffusion Transformer 3.0 (DiT v3), the next evolution of its foundational image generation architecture. Building on the Multimodal Diffusion Transformer (MMDiT) framework that powered Stable Diffusion 3, DiT v3 introduces Unified Flow Matching, Dynamic Attention Scaling, and native multi-modal support for images, video, and 3D content. The architecture will serve as the backbone for Stable Diffusion 4 and marks Stability AI's most significant technical leap since abandoning U-Net in 2024.
