Source URL: https://www.wired.com/story/nvidia-cosmos-ai-helps-robots-self-driving-cars/
Source: Wired
Title: Nvidia’s ‘Cosmos’ AI Helps Humanoid Robots Navigate the World
Feedly Summary: Nvidia CEO Jensen Huang says the new family of foundational AI models was trained on 20 million hours of “humans walking; hands moving, manipulating things.”
AI Summary and Description: Yes
Summary: Nvidia’s unveiling of the Cosmos AI models marks a significant advancement in robotics and AI technology, focusing on the generation of images and 3D models for training humanoids, industrial robots, and self-driving vehicles. This initiative underlines the evolving landscape of foundational AI models and their practical applications in various industries, offering deeper insights for professionals in AI and infrastructure security.
Detailed Description:
Nvidia’s announcement at CES regarding its new family of foundational AI models named Cosmos highlights several major points of interest for AI and infrastructure professionals:
* **Foundational AI Model Launch**: Cosmos is specifically designed to generate images and 3D models, differentiating itself from traditional language models that predominantly generate text.
* **Training Capabilities**:
– The model utilizes extensive training data, specifically 20 million hours of real-world footage, to teach AI systems how to simulate real-world activities and interact with physical objects.
– By generating realistic scenarios (e.g., boxes falling from shelves), Cosmos enables enhanced training for robots to recognize and respond to accidents or unforeseen events within environments like warehouses.
* **Practical Applications**:
– Companies such as Agility, Figure AI, and self-driving car firms like Uber, Waabi, and Wayve are already leveraging Cosmos, indicating its immediacy and relevance in the field.
– The technology allows for fine-tuning, enabling users to customize the model with their specific data, enhancing its adaptability to various tasks.
* **Integration with Robotics**:
– The Cosmos models are linked to Nvidia’s existing Isaac robot simulation platform, featuring new software that streamlines how robots can learn new tasks, minimizing the amount of data needed to facilitate this education.
– By allowing a small number of examples to generate extensive synthetic training data, the platform significantly boosts the efficiency and efficacy of robot training processes.
* **Market Implications**:
– Nvidia’s efforts signal a shift towards more sophisticated robotics, portraying the potential for practical applications in both industrial settings and everyday life.
This announcement is particularly significant in the context of AI security and its implications, as it raises questions about the security of AI-generated models, potential misuse, and compliance with regulatory controls in AI development. Organizations will need to consider these factors as they explore the implementation of such advanced AI technologies.