Head of the Class: Explore AI’s Potential in Higher Education and Research at GTC

For students, researchers and educators eager to delve into AI, GTC — NVIDIA’s conference on AI and accelerated computing — is in a class of its own.

Taking place from March 18-21 at the San Jose Convention Center, GTC features over 900 talks presented by world-renowned experts in fields such as generative AI, high performance computing, healthcare, energy and environment and robotics.

See some of the top sessions for attendees in higher education below. And don’t miss NVIDIA founder and CEO Jensen Huang’s GTC keynote on how AI is transforming industries, on Monday, March 18, at 1 p.m. PT.

For Researchers 

Transforming AI is a panel featuring Huang and the eight authors of “Attention Is All You Need,” a groundbreaking paper that introduced the transformer neural network architecture.
Fireside Chat With Fei-Fei Li and Bill Dally: The High-Speed Revolution in AI and Managing the Impact on Humanity, featuring Dally, chief scientist and senior vice president of research at NVIDIA, and Li, Sequoia Professor of computer science at Stanford University.
Fireside Chat With Christian Szegedy and Bojan Tunguz: Automated Reasoning for More Advanced Software Synthesis and Verification, featuring Szegedy, research scientist and founder of xAI, and Tunguz, data scientist at NVIDIA.

See more sessions for researchers.

For Educators

Priming Researchers and Students for AI and Accelerated Computing Breakthroughs With Self-Sustaining Training Programs, featuring Israel Chaparro-Cruz, lecturer and co-investigator from Universidad Nacional Jorge Basadre Grohmann; Mohammad Mostafanejad, lead software scientist at the Molecular Sciences Software Institute at Virginia Tech; and Joe Bungo, Deep Learning Institute program manager at NVIDIA.
Learn How Educators Are Integrating Generative AI, Simulation and Design Into Their Curricula, featuring Deepak Chetty, area head for virtual production and assistant professor of practice at the University of Texas, Austin; Barbara Mones, teaching professor in the Paul G. Allen School of Computer Science and Engineering at the University of Washington; and Laura Scholl, senior content developer for the NVIDIA Deep Learning Institute.
Omniverse Educator Summit, an opportunity for educators to explore the NVIDIA Omniverse platform, connect with peers and discover practical resources for classrooms from NVIDIA, including the Deep Learning Institute’s Teaching Kits and University Ambassador Program. Register to attend.

Find more sessions for educators.

For Students

AI Secrets I Wish I Knew, featuring speakers from Stanford University, NVIDIA and education journalism initiative EdSurge.
NVIDIA Graduate Fellowship Fast Forward Talks, featuring Dally and fellowship recipients from Caltech, Cornell University, Stanford University and UC Berkeley.
Bridging the AI Divide: Expanding Access and Training to Nontraditional Talents and Underserved Communities, featuring speakers from Black Women In Artificial Intelligence, Create Labs, Cortex Innovation District and NVIDIA.

Discover more sessions for students and apply to join the NVIDIA Student Network.

To gain hands-on experience, check out training labs and full-day technical workshops at GTC.

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