Self-improving AI-Models via Reasoning in the loop

During this presentation we demonstrate efficient uses of reasoning to automate data-flywheels towards continuous model improvement. Learn More • https://www.nvidia.com/en-us/ai/cosmos/ • https://docs.nvidia.com/nurec/ • https://nvidianews.nvidia.com/news/nvidia-releases-new-physical-ai-models-as-global-partners-unveil-next-generation-robots About the Speaker Jose Alvarez is Director of Research at NVIDIA, where he leads an applied AV research team within the Spatial Intelligence Lab. His team focuses on scaling deep learning and driving advancements in Autonomous Driving and, more broadly in Physical AI, with work spanning end-to-end models, foundation models, and data flywheels for real-world applications.