Latest news with #CosmosReasonAI
Hans India
3 days ago
- Business
- Hans India
Nvidia Unveils Cosmos Reason AI to Give Robots Human-Like Thinking and Planning Skills
Nvidia has taken a bold step toward the future of robotics with the introduction of Cosmos Reason AI, a next-generation reasoning vision language model (VLM) built to help robots think, plan, and act more like humans in the physical world. The 7-billion-parameter open and customizable model is tailored specifically for physical-world AI and robotics, offering far more than traditional VLMs. According to Nvidia, while models like OpenAI's CLIP excel at identifying objects and patterns, they often struggle with complex or ambiguous instructions. Cosmos Reason aims to bridge that gap by incorporating prior knowledge, physics-based understanding, and common sense reasoning—skills crucial for breaking down tricky commands into smaller steps, adapting to unfamiliar surroundings, and making deliberate, methodical choices. 'By combining AI reasoning with scalable, physically accurate simulation, we're enabling developers to build tomorrow's robots and autonomous vehicles that will transform trillions of dollars in industries,' said Rev Lebaredian, vice president of Omniverse and simulation technologies at Nvidia. Real-World Uses and Early Adoption The company says Cosmos Reason can handle a range of tasks including data curation and annotation, robot planning and reasoning, and video analytics. For instance, it could help automate the labeling of massive, varied datasets, serve as a robot's 'brain' integrating vision, language, and actions, or process huge volumes of video to extract insights or detect problems. Already, Nvidia's robotics and DRIVE teams are employing the technology for training data filtering and annotation. Major companies such as Uber, Magna, VAST Data, Milestone Systems, and Linker Vision are exploring its potential for applications like autonomous driving, delivery robots, traffic monitoring, industrial inspection, and safety enhancements. Nvidia notes that in autonomous vehicles, Cosmos Reason could add 'world understanding' to improve trajectory planning. Part of a Larger AI Ecosystem Cosmos Reason has been developed alongside Nvidia's Cosmos world foundation models (WFMs), which have been downloaded more than two million times. Alongside this launch, Nvidia introduced Cosmos Transfer-2, an upgraded synthetic data platform that streamlines photorealistic 3D scene creation. This improvement reduces the process from 70 steps to just one, enabling much faster AI training using Nvidia RTX PRO servers. Simulation and Hardware Boosts To support the new AI model, Nvidia has also rolled out updates to its Omniverse simulation platform, adding SDKs and libraries for industrial AI and robotics. New features include interoperability between MuJoCo (MJCF) and Universal Scene Description (OpenUSD), plus Omniverse NuRec libraries for 3D Gaussian splatting. In robotics simulation, Isaac Sim 5.0 and Isaac Lab 2.2—now open source on GitHub—come with integrated NuRec rendering. These tools are already being linked with simulators like CARLA for autonomous vehicle testing. On the hardware side, Nvidia unveiled RTX PRO Blackwell Servers, designed to handle unified robot development workloads, and expanded DGX Cloud availability on Microsoft Azure Marketplace for Omniverse developers. With Cosmos Reason AI, Nvidia is not just teaching robots to 'see' the world—it's training them to truly understand and navigate it with intelligence and adaptability.
India Today
3 days ago
- Business
- India Today
Nvidia debuts Cosmos Reason AI to help robots think and plan in the physical world
Nvidia has unveiled Cosmos Reason AI, a reasoning vision language model (VLM), designed to give robots the ability to plan and act with human-like understanding of the physical world. The 7-billion-parametre open and customisable model - Cosmos Reason - is built specifically for physical-world AI and robotics, Nvidia says. Other VLMs such as OpenAI's CLIP excel at object and pattern recognition but fall short in handling complex or ambiguous tasks, Nvidia explains. Its Cosmos Reason AI however uses prior knowledge, physics understanding, and common sense so robots can - in theory - break down complex commands into smaller tasks, adapt to unfamiliar settings, and make deliberate, methodical decisions making them smarter and more efficient. advertisement'By combining AI reasoning with scalable, physically accurate simulation, we're enabling developers to build tomorrow's robots and autonomous vehicles that will transform trillions of dollars in industries,' said Rev Lebaredian, vice president of Omniverse and simulation technologies at Nvidia. Detailing real-world applications of its new model, Nvidia says Cosmos Reason can be used for data curation and annotation, robot planning and reasoning, and video analytics. Giving an example, Nividia explains that the Cosmos Reason can help companies automate labelling big, varied datasets, act as the 'brain' for robots combining vision, language, and actions, and analyse tons of video to find insights or solve company adds that its robotics and DRIVE teams are already using Cosmos Reason for training data filtering and annotation, while companies including Uber, Magna, VAST Data, Milestone Systems, and Linker Vision are exploring its use for autonomous vehicles, delivery robots, traffic monitoring, safety improvements, and industrial inspection. Nvidia says this new model will add world understanding to the vehicles' trajectory planning has developed its new Cosmos Reason model alongside its Cosmos world foundation models (WFMs), that has been downloaded over 2 million times, per the company. Additionally, Nvidia has also announced Cosmos Transfer-2, an update to its synthetic data platform that speeds up photorealistic 3D scene creation from simulations or spatial inputs. This update, according to the company, reduces processing from 70 steps to just one, enabling rapid generation on Nvidia RTX PRO servers, making AI training and development faster and more efficient. Omniverse and simulation upgradesNvidia has also rolled out updates to its Omniverse simulation platform, with new SDKs and libraries for industrial AI and robotics. These include interoperability between MuJoCo (MJCF) and Universal Scene Description (OpenUSD), and the new Omniverse NuRec libraries for 3D Gaussian splatting. For robot simulation, the company has introduced Isaac Sim 5.0 and Isaac Lab 2.2, which is now open source on GitHub, with NuRec rendering integrated into simulators like CARLA for autonomous vehicle support these new capabilities, Nvidia has introduced RTX PRO Blackwell Servers for unified robot development workloads and has expanded DGX Cloud availability on Microsoft Azure Marketplace for Omniverse developers.- Ends
