NVIDIA is launching the first AI Tech Community in Pittsburgh, Pennsylvania, serving as a bridge for academia, industry, and public sector groups to collaborate on innovation in artificial intelligence.
The collaboration with Carnegie Mellon University and the University of Pittsburgh, as well as startups, companies and organizations based in the City of Bridges, is part of a new NVIDIA AI Tech Community initiative announced today during the NVIDIA AI Summit in Washington, DC. Part of it.
This initiative aims to strengthen public-private partnerships across communities rich in potential to enable technological transformation using AI.
Two NVIDIA joint technology centers will be established in Pittsburgh to leverage regional expertise.
The NVIDIA and Carnegie Mellon University (CMU) Joint Center for Robotics, Autonomy, and AI provides higher education faculty, students, and researchers with the latest technology and fosters innovation in the fields of AI and robotics. Masu.
The NVIDIA and University of Pittsburgh Collaborative Center for AI and Intelligent Systems will focus on computational opportunities across the health sciences, including applications of AI in clinical medicine and biomanufacturing.
CMU, the No. 1 AI university in the nation according to U.S. News & World Report, has pioneered research in the fields of self-driving cars and natural language processing.
The CMU Robotics Institute, the world’s largest university-affiliated robotics research group, brings together a diverse group of more than 1,000 faculty, students, postdocs, and visitors to solve humanity’s toughest challenges through robotics. I am.
Designated an R1 research university at the forefront of innovation, the University of Pittsburgh ranks sixth among U.S. universities in research funding from the National Institutes of Health, with research spending of 10% in 2022. over $1 billion and ranked #1. . 14 US universities have obtained utility patents.
The university has a long history of interdisciplinary learning technology innovation in research and practice partnerships. Pitt is leading the democratization of AI education in healthcare and medicine by prioritizing inclusivity and hands-on experience free of technical barriers.
By collaborating with these universities, NVIDIA aims to accelerate innovation, commercialization, and operationalization in the physical AI, robotics, autonomous systems, and AI technology communities across the country and around the world.
These centers leverage NVIDIA’s full-stack AI platform and accelerated computing expertise to prepare tomorrow’s technology leaders for the next generation of innovation.
Establishment of AI development center
Generative AI and accelerated computing are transforming workflows in a variety of use cases. The engine behind this transformation consists of three major AI platforms: NVIDIA DGX for AI training, NVIDIA Omniverse for simulation, and NVIDIA Jetson for edge computing.
Through new centers and public sector-sponsored research opportunities, NVIDIA will provide CMU and Pitt with access to the company’s latest AI software and frameworks, including NVIDIA Isaac Lab for robot learning and NVIDIA Isaac Sim for design and test. Provide. NVIDIA NeMo for robots, custom-generated AI, and NVIDIA NIM microservices are available through the NVIDIA AI Enterprise software platform.
Advanced NVIDIA technology support helps research groups accelerate their workflows and enhance the scalability and resiliency of their AI applications.
In addition, each university will have access to specific generative AI, data science, and accelerated computing resources through the NVIDIA Deep Learning Institute, which provides training to meet diverse learning needs and advance the skills of AI students and developers. will be able to access.
“Combining Carnegie Mellon University’s existing deep AI and robotics expertise and resources with NVIDIA’s cutting-edge platforms, software, and tools has great potential to enhance Pittsburgh’s already vibrant innovation ecosystem. ,” said Theresa Mayer, vice president for research at CMU. “This unique collaboration will accelerate innovation, commercialization and operationalization of robotics and autonomy, facilitating AI’s greatest impact on society.”
“Pitt has a long history and extraordinary research capabilities in the life sciences and learning sciences,” said Rob A. Rutenbar, senior vice president for research at the University of Pittsburgh. “By focusing on computing and AI opportunities across these ‘medicine and education’ fields, we are leveraging our collaboration with NVIDIA to transform these breakthroughs into health and education outcomes for all. We plan to explore new ways to improve this.”
Promoting cross-industry collaboration
As part of the AI Tech Community initiative, NVIDIA is also increasing engagement with members of the Pittsburgh-based NVIDIA Inception program for cutting-edge AI startups and the NVIDIA Connect program for software developers and service providers.
For example, Inception member Lovelace AI uses NVIDIA accelerated computing and CUDA to power the analysis of dynamic data and develop AI solutions that provide predictive analytics and actionable insights for national security customers. I am.
Skild AI is a startup founded by two Carnegie Mellon professors that is developing a scalable robotics infrastructure model called Skild Brain that can easily adapt across hardware and tasks.
Skild AI explores NVIDIA Isaac Lab, an integrated modular framework for robot learning built on the NVIDIA Isaac Sim reference application for designing, simulating, and training AI-based robots.
NVIDIA also works with technology accelerators such as the Pittsburgh Robotics Network, which accelerates the commercialization of robotics, AI, and other advanced technologies, and AlphaLab, and Innovation Works’ Robotics Factory, which supports Pittsburgh-based startups. Through this, we also engage Pittsburgh’s broader robotics ecosystem. A city focused on AI, robotics, and autonomy.
NVIDIA is also committed to advancing the development of AI talent around the world through the Deep Learning Institute, which has trained more than 650,000 people.
Learn more about how NVIDIA is driving the next era of computing in higher education and research at NVIDIA AI Summit and more, running through October 9th. Greg Estes, NVIDIA Vice President of Developer Programs, discusses expanding AI skills and economic growth through public service. A private collaboration.
Featured image courtesy of Wikimedia Commons.
