This April, learn about the future of AI-powered transportation from those who are building it.
The NVIDIA GPU Technology Conference returns to the virtual stage April 12-16, featuring autonomous vehicle leaders in a range of talks, panels and virtual networking events. Attendees will also have access to hands-on training for self-driving development and other deep learning topics. Registration is free of charge.
Experience the latest advancements in safer, more efficient transportation, from training in the data center, to high-fidelity simulation testing, to new robotaxi and autonomous trucking pilots around the world.
With digital networking events and sessions with live Q&A, GTC is the only place where it’s possible to interact with researchers, engineers, developers and technologists in the autonomous vehicle space, as well as healthcare, robotics, graphics and numerous other industries.
The week will kick off with a not-to-be-missed opening keynote from NVIDIA founder and CEO Jensen Huang that will be packed with the latest NVIDIA news and breakthroughs.
Here’s a sneak peek at the automotive offerings at this year’s event.
With rapid advances in AI technology, it can be difficult to follow the flurry of headlines and announcements surrounding autonomous vehicles. GTC provides the unique opportunity to hear about these innovations from those in the trenches of self-driving development — from global automakers and suppliers to startups and researchers.
Automotive session highlights include:
- Jesse Levinson, CTO and co-founder of Zoox, sits down for a fireside chat on the robotaxi startup’s recently unveiled vehicle and upcoming technology roadmap.
- Hildegard Wortmann, member of the board of management at Audi, discusses how the global automaker is addressing the largest transformation in the history of the automotive industry, driven by digitalization, electrification and sustainability.
- Mo ElShenawy, senior vice president of engineering at Cruise, covers the challenges and benefits of building an autonomous vehicle from the ground up.
- Raquel Urtasun, professor at University of Toronto and chief scientist at Uber ATG Toronto, outlines the upcoming autonomous future, where robotics and AI are intertwined in daily life, and the technological challenges that remain to achieve this new era.
- Gavriel State, senior director of system software at NVIDIA, showcases the NVIDIA DRIVE Sim platform on Omniverse, generating synthetic data to comprehensively train deep neural networks for autonomous vehicle applications.
- Cetin Mericli, CEO of Locomation, explains the technology as well as the challenges behind human-guided autonomous convoy systems for self-driving long-haul trucks.
Give AI a Try
Attendees don’t just hear about AI innovation at GTC, they can get hands on with new deep learning techniques to push technology further.
Courses hosted by the NVIDIA Deep Learning Institute provide a foundation for developing AI applications, including autonomous driving. In Deep Learning for Autonomous Vehicles — Perception, DLI attendees can learn how to design, train and deploy deep neural networks and optimize perception components for autonomous vehicles using the NVIDIA DRIVE development platform.
Additional topics include the fundamentals of deep learning, natural language processing and deep learning for multiple GPUs.
Don’t miss out on the only opportunity to meet, listen to and learn from the biggest stars in AI and autonomous vehicle technology.