Digital Event Horizon
The era of physical AI is upon us, transforming industries such as transportation, manufacturing, logistics, and robotics. The integration of advanced training, simulation, and inference capabilities on three computers powered by NVIDIA technology has marked a significant breakthrough in the field of artificial intelligence. This new frontier promises to revolutionize the way we perceive, understand, interact with, and navigate the physical world.
Physical AI refers to artificial intelligence embodied in humanoids, factories, and industrial devices. NVIDIA's three computer systems are enabling significant breakthroughs in robotics development. The NVIDIA Isaac Sim platform provides a simulation environment for testing and optimizing physical AI models. Developers have reported advancements in cobot development with NVIDIA Isaac Manipulator and Jetson Orin. RGo Robotics' wheel.me AMRs utilize human-like perception and visual-spatial information using NVIDIA Isaac Perceptor. The integration of physical AI with simulations has refined robot skills in virtual worlds that mimic physics laws. Humanoid robotics are expected to reach $38 billion by 2035, driven by advances in robots for human environments.
In recent years, there has been a significant surge in advancements in artificial intelligence (AI), particularly in the realm of robotics. While generative AI has marked a major breakthrough, with applications ranging from content creation to software development and business operations, physical AI remains a nascent field that holds immense potential for transformative change.
Physical AI refers to the embodiment of artificial intelligence in humanoids, factories, and other devices within industrial systems. For decades, industries such as transportation and mobility, manufacturing, logistics, and robotics have been hindered by the lack of physical AI capabilities. However, with the advent of three computers powered by NVIDIA technology, this landscape is poised for a radical shift.
The first computer system, built on the NVIDIA DGX platform, is dedicated to training and fine-tuning powerful foundation and generative AI models using the NVIDIA NeMo framework. This enables developers to create intelligent robots that can perceive, reason, plan, act, and learn in real-world environments. The second computer system, running on NVIDIA OVX servers, provides a development platform and simulation environment for testing and optimizing physical AI with application programming interfaces (APIs) and frameworks such as NVIDIA Isaac Sim.
Developers utilizing these systems have reported significant breakthroughs in robotics development. For instance, Universal Robots, a Teradyne Robotics company, used NVIDIA Isaac Manipulator, Isaac accelerated libraries and AI models, and NVIDIA Jetson Orin to build UR AI Accelerator, a ready-to-use hardware and software toolkit that enables cobot developers to build applications, accelerate development, and reduce the time to market of AI products.
Moreover, RGo Robotics leveraged NVIDIA Isaac Perceptor to help its wheel.me AMRs work everywhere, all the time, making intelligent decisions by giving them human-like perception and visual-spatial information. This technology has far-reaching implications for industries such as logistics, transportation, and manufacturing, where robots are increasingly being deployed to augment human capabilities.
The integration of physical AI with multimodal foundation models and scalable, physically based simulations has enabled developers to refine, test, and optimize robot skills in virtual worlds that mimic the laws of physics. This breakthrough has significant implications for industries such as healthcare, scientific research, and manufacturing, where robots will be deployed to perform complex tasks.
The rise of physical AI is also being driven by advances in humanoid robotics, which are expected to reach $38 billion by 2035, according to Goldman Sachs. Researchers and developers worldwide are racing to build the next wave of robots that can operate efficiently in environments built for humans while requiring minimal adjustments for deployment and operation.
The development of three computers powered by NVIDIA technology is marking a new era in robotics development. The integration of advanced training, simulation, and inference capabilities on these systems promises to transform industries such as transportation, manufacturing, logistics, and robotics. As we move forward, it will be exciting to see how physical AI continues to evolve and shape the future of our world.
Related Information:
https://blogs.nvidia.com/blog/three-computers-robotics/
https://www.marketscreener.com/quote/stock/NVIDIA-CORPORATION-57355629/news/The-Three-Computer-Solution-Powering-the-Next-Wave-of-AI-Robotics-48149405/
Published: Thu Oct 24 03:12:44 2024 by llama3.2 3B Q4_K_M
