GTC 2022 sessions to showcase AI support for emerging markets

Nvidia has announced that its technology conference GTC will take place virtually from March 21 to March 24, 2022. Registration is free and open now at CEO Jensen Huang will deliver the keynote on March 22, 8 am PT, which will be available on demand afterward. Although, registration is not required to view the keynote. Huang might talk about new vehicle architecture, introduced last November, including AI features of Drive Orin and Drive Hyperion network. Nvidia has recently announced the partnership with Jaguar Land Rover to jointly develop and deliver fleets of cars on the full-stack Nvidia DRIVE Hyperion 8 platform.

This year, GTC’s focus will be on accelerated computing, deep learning, data science, digital twins, networking, quantum computing, and computing in the data center, cloud and edge. There will be more than 20 dedicated sessions on how AI can help visualize and further climate science.

“As one of the world’s leading AI conferences, GTC provides a singular opportunity to help solve huge challenges and redefine the future for developers, researchers and decision-makers across industries, academia, business and government,” said Greg Estes, vice president of Developer Programs at Nvidia. “There’s a mother lode of content and opportunities for attendees of all levels to deepen their knowledge and make new connections.”

GTC provides many learning and development opportunities to the participants like DLI courses, introductory courses on deep learning and robotics, etc. Nvidia’s free Inception program has been designed to support all stages of a startup’s life cycle. There will also be over 70 Nvidia Inception sessions at GTC.

In the press release below, Nvidia has provided a list of the speakers at GTC 2022 and more information about the event.

NVIDIA GTC 2022 to Feature Keynote From CEO Jensen Huang, New Products, 900+ Sessions From Industry and AI Leaders

Top Technologists from Deloitte, Epic Games, Mercedes-Benz, Microsoft, Pfizer, Sony, Visa, Walt Disney, Zoom and More to Present.

Among the many notable speakers at GTC:

  • Andrew Ng, founder of DeepLearning.AI, founder and CEO of Landing AI
  • Prof. Dr. Bjorn Stevens, managing director and director of the department, The Atmosphere in the Earth System, Max Planck Institute for Meteorology
  • Prof. Chelsea Finn, assistant professor of computer science, Stanford University
  • Hao Yang, vice president of AI Research, Visa
  • Jack Jin, lead machine learning Infra engineer, Zoom
  • Joe Ucuzoglu, CEO, Deloitte U.S.
  • Lidia Fonseca, chief digital and technology officer, Pfizer
  • Magnus Östberg, chief software officer, Mercedes-Benz AG
  • Marc Petit, general manager for Unreal Engine, Epic Games
  • Markus Gross, vice president of Research, Walt Disney Studios
  • Michael Russinovich, CTO and Technical Fellow, Microsoft Azure
  • Natalya Tatarchuk, director of global graphics, Unity
  • Peter Stone, executive director, Sony AI, and professor of computer science, University of Texas, Austin
  • Dr. Stefan Sicklinger, head of BigLoop and Advanced Systems, CARIAD/VW Group
  • Yu Liu, director of AI, Meta
  • Zoe Lofgren, member of Congress, U.S. House of Representatives

Other organizations participating include Amazon, Autodesk, Barclays, Bloomberg, Cisco, Cornell University, DeepMind, Dell Technologies, Ericsson, Flipkart, Google Brain, Lockheed Martin, NASA, NFL, Snap, U.S. Air Force and VMware.

Learning and development opportunities

GTC provides participants at all stages of their careers with outstanding learning and development opportunities – many of which are free.

The event kicks off with Learning Day, for all levels and backgrounds, on Monday, March 21, and continues the rest of the week with sessions in four languages across multiple time zones. From sessions on GPU computing to AI workshops, there will be extensive learning and training opportunities for students, developers and professionals with technology talks from NVIDIA subject-matter experts, including from Nvidia’s Deep Learning Institute (DLI) and Nvidia Academy.

Students and early career professionals can participate in introductory courses on deep learning and robotics. They can also access sessions like “The Right Formula for AI Success: Insights from AI High Performer” and “Deep Learning Demystified” as well as the “5 Steps for Starting a Career in AI” panel, featuring Sheila Beladinejad, president of Women in AI & Robotics, and David Ajoku, founder of

More experienced developers can enroll in a variety of DLI courses, including 20 free, short-day sessions and 17 full-day workshops, to dive deeper into AI and earn a DLI certificate demonstrating subject-matter competency. From Feb. 21 until the end of March, new members to NVIDIA’s Developer Program can get access to an additional complementary GTC DLI course when they sign up.

Developed for IT professionals, NVIDIA Academy will host certified training programs on the data center, InfiniBand, IT infrastructure and networking. The program includes instructor led-training sessions followed by self-paced coursework and proctored certification tests.

All workshops and sessions are led by trained, DLI-certified instructors, either from NVIDIA or partners and collaborators who are experts in their field.

Supporting AI ecosystem for all

As part of NVIDIA’s commitment to making AI accessible for all developer communities and emerging markets, there are numerous sessions showcasing how developers and startups in emerging economies are building and scaling AI and data science. Sessions for emerging markets include “Look to Africa to Advance Artificial Intelligence” and “Democratizing AI in Emerging Markets Through the United AI Alliance.”

NVIDIA is also providing free credits for DLI courses to minority-serving institutions, from community colleges to historically Black colleges and universities.

Spotlight on startups

NVIDIA Inception, a global program to nurture cutting-edge startups with 9,000+ members, will host tracks aimed at helping emerging companies build and grow their businesses and gain industry knowledge.

These include VC-focused sessions on such topics as Omniverse and quantum computing, as well as sessions led by NVIDIA and startups from across the globe on AI, autonomous systems, climate science, cybersecurity, healthcare and digital twins, among other themes.