AI Briefing#cosmos
The latest AI and developer news about #cosmos, with the original source and a short summary.
The latest AI and developer news about #cosmos, with the original source and a short summary.
As the autonomous driving competition shifts from model performance to the speed of data relearning, AWS and NVIDIA have presented an 8-stage pipeline to address this.
The open-source Cosmos Framework supports training and simulation for autonomous vehicles, robotics, and surgical workflows, while NIM enables sub-second live stream alerts.
The expanded platform includes five cloud-native data blueprints, support for fine-tuning open models like GR00T and QWEN, and Cosmos 3 Nano variants that enable up to 2x faster inference.
The portfolio includes Nemotron 3.5, Kumo for structured data, Cosmos 3.5 for robotics, and Ising for quantum computing, enabling customization with local data.
The system is the first real-time generative surgical simulator trained on clinical cholecystectomy recordings to support live kinematic control.
Skild AI has released 'S1', a foundation model that leverages NVIDIA infrastructure to enable robots to perform new long-horizon tasks using only a single video.
NVIDIA supports Physical AI development and validation with open world models and Omniverse.
NVIDIA has released Alpamayo 2 Super, an autonomous driving reasoning model with a commercial license.
NVIDIA has released a GPU-accelerated open-source medical physics simulation framework for medical robot development.
NVIDIA has unveiled Cosmos 3 Edge, a 4B-parameter open world model for edge devices.
NVIDIA GTC put digital twins and data factories for physical AI front and center.