Academic institutions are at the forefront of nurturing the next generation in the emerging technologies of accelerated computing, data science, and AI. At the same time, institutions need to meet the demand for more flexible, accessible education options. From on prem to the cloud, NVIDIA supplies the tools that can propel discoveries in critical disciplines—at any time, from any location.
Explore our diverse set of resources—including hands-on workshops, self-paced courses, certifications, webinars, blogs, live events, grants, and developer news.
Get immediate, short-term access to a large catalog of hands-on labs through NVIDIA LaunchPad. Now academic institutions can tap into hardware and software stacks to experience end-to-end solution workflows in the areas of AI, data science, 3D design collaboration and simulation, and more.
Don't miss these upcoming higher education sessions at GTC.
AI is creating opportunities, making history, and turbocharging scientific breakthroughs. From record-setting DNA sequencing to the most advanced computing chips, systems, and software of the future, we're seeing true innovators develop solutions that change the world. If you're a student inspired by AI but don’t know where to begin, this is a great opportunity to learn from today’s leading experts. Join us for this GTC panel and learn about their accomplishments, challenges, and lessons learned.
The U.S. government recognizes its important role in broadening access to AI resources for workforce development with the passage of the $280B CHIPS & Science Act. The National Science Foundation is leading an effort to create a national network of AI research centers by facilitating partnerships between government agencies, academic institutions, and industry leaders. A model example of such a partnership is that of the University of Florida and NVIDIA, who in 2021 built the largest AI supercomputer in academia. This conversation with key individuals from industry, academia, and government will review how the partnership was constructed & implemented, national goals for equitable AI research & education, and how federal agencies can learn from this project to strengthen the American workforce as a whole.
Conventional microelectronics design tools employ modeling and simulation to study system performances and limitations. Over the last decade, the microelectronics design space has grown exponentially because of the enormous growth in computing architecture types and application software. Computer simulators are commonly used for microelectronics design exploration. However, complex chip simulations, utilizing these conventional simulators, take an enormous amount of time. AI-based methods for microelectronics design are gaining popularity due to reduced cost and time-to-market for chip design and fabrication. We'll discuss AI-based approaches for microelectronics design and fabrication.
Come learn from experts how advances in AI and accelerated computing can profoundly impact your industry—from HPC and manufacturing to healthcare, robotics, and beyond. Join us online March 20-23.
Discover the components of an AI university and how you can get started.
Learn how universities are adopting AI across various academic disciplines.
Chris Downum and Leszek Pawlowicz, researchers in the Department of Anthropology at Northern Arizona University, are using GPU-based deep learning algorithms to categorize sherds—tiny fragments of ancient pottery.
University of Florida researchers are developing AI applications for agriculture. And the technology—computer vision for smart sprayers—is now being licensed and deployed in pilot tests by CCI, an agricultural equipment company.
Just as you can blur your background to hide office clutter when video conferencing, ClearBuds lets you mute background noise so your voice comes through loud and clear. Three researchers relied on an NVIDIA® TITAN™ desktop GPU to train the neural networks. They used both synthetic audio samples and real audio, and training took less than a day.
Experience the latest breakthrough research in computer graphics and AI at SIGGRAPH with NVIDIA. Creators, researchers, students, and other professionals can explore how our technologies are driving innovations in simulation, collaboration, and design across many different industries. Discover how NVIDIA’s award-winning research and next-generation technologies are shaping the future of design.
Join us at NeurIPS to see how NVIDIA continues to push the boundaries of innovation in machine learning, self-driving cars, robotics, graphics, simulation and more. NVIDIA researchers will present 20 papers from November 28 to December 9.
Explore a range of groundbreaking research in the field of computer vision at this year’s Computer Vision and Pattern Recognition (CVPR) 2022 conference. NVIDIA’s accepted papers cover topics from human motion forecasting to Extracting triangular 3D models, materials, and lighting from images.
Learn about the AI and HPC hardware, software, and networking solutions for academic institutions.
Whether creating quality customer experiences, delivering better patient outcomes, or streamlining the supply chain, enterprises need infrastructure that can deliver AI-powered insights. Find out how NVIDIA DGX™ systems deliver the world’s leading solutions for enterprise AI infrastructure at scale.
NVIDIA platforms are powering next-generation capabilities in AI, HPC, and graphics, pushing the boundaries of what’s possible. Learn how innovators everywhere can access massive computing power on demand and with ease with NVIDIA’s GPU-accelerated solutions—available through all top cloud platforms.
NVIDIA AI Enterprise is an end-to-end, cloud-native suite of AI and data analytics software that’s optimized to enable any organization to use AI. It’s certified to deploy anywhere—from the enterprise data center to the public cloud—and includes global enterprise support to keep AI projects on track.
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