Cosmos Reason2: Physical AI Common Sense and Embodied Reasoning Models Cosmos Code Model Overview Description: NVIDIA Cosmos Reason 2 is an open, customizable, 32B parameter reasoning vision language model (VLM) for physical AI and robotics that enables robots and vision AI agents to reason like humans, using prior knowledge, physics understanding and common sense to understand and act in the real world. This model understands space, time, and fundamental physics, and can serve as a planning model to reason what steps an embodied agent might take next. New features with Cosmos Reason 2: Enhanced physical AI reasoning with improved spatio temporal understanding and timestamp precision. Supports object detection with 2D/3D point localization and bounding box coordinates with reasoning explanations and labels. Improved long context understanding up to 256K input tokens. Use cases: Video analytics AI agents — Extract valuable insights and perform root cause analysis on massive volumes of video data. These agents can be used to analyze and understand recorded or live video streams across city and industrial operations. Jumpstart your development of video analytics AI agents by using the…
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