The NVIDIA GPU Technology Conference (GTC) returns Oct. 5, running 24 hours a day, across seven time zones, through Oct. 9. Kicking off with a keynote video from NVIDIA founder and CEO Jensen Huang, the event will feature the best in AI sessions, training and more from the foremost experts.
GTC provides the unique opportunity to hear from researchers, engineers, developers and technologists in the autonomous vehicle space, as well as healthcare, robotics, graphics and numerous other industries.
Take advantage of the early bird discount when you register by September 25, 2020. Plus, get an extra 20% off with code CMAUTO.
Here’s a preview of some of the autonomous vehicle sessions available during GTC.
End-to-end Deep Learning on GPU Clusters Using Horovod on Apache Spark: Travis Addair, senior software engineer at Uber Technologies, will discuss how to scale in deep learning applications and how Horovod Spark Estimator API enables TensorFlow and PyTorch models to be trained directly on Spark DataFrames, leveraging Horovod’s ability to scale to hundreds of GPUs in parallel, without any specialized code for distributed training.
Building a Supercomputer for Autonomous Vehicle Development: Learn how global tier-1 supplier Continental implemented a high-performance cluster on NVIDIA DGX AI systems to boost autonomous driving development performance for deep learning, simulation, and virtual data generation.
Exploring Under the Hood of AutoX’s L4 Self-Driving Platform: See the latest technical breakthroughs of AutoX’s L4 autonomous driving platform from AutoX CEO Jianxiong Xiao. He’ll highlight AutoX’s vehicle control unit, called XCU, as well as additional details of what’s under the hood of the company’s self-driving technology. Learn about AutoX’s proprietary redundancy capabilities, their approach to obtaining automotive grade safety standards, balancing power consumption efficiency, simulation, and scalability.
Software-Defined AI Systems for Autonomous Vehicles: Hear from Neda Cvijetic, senior manager of autonomous vehicles and host of NVIDIA DRIVE Labs as she discusses software-defined AI systems for autonomous vehicles and provides a visual understanding of state-of-the-art AI results for them.
Personalizing the Vehicle Cabin with AI and Sensor Fusion: Learn how Volvo Cars and NVIDIA are developing the next generation car computer capable of advanced on-board processing. These new cars will be equipped with interior sensors and actuators that will further improve the personal car experience and create the intelligent cabin using artificial intelligence, contextual awareness, and sensor fusion technology. The infrastructure enables the car, the cloud and other user devices to interact seamlessly and provide recommendations to the user with contextual awareness.
What Does It Take to Get a Conversational AI System in the Car in Production? Watch Cerence Chief Information Officer Bridget Collins and Christophe Couvreur, vice president of product, explain how Cerence Reader leverages advances in AI and GPUs to bring unprecedented levels of human-like speech to the car. Nearly indistinguishable from a human voice, Cerence Reader features long-form reading capabilities, including natural pausing and breathing, and automatically predicts the appropriate reading style and emotional tone based on content, context, and category of news, including current events, sports, or documentary-style pieces.
Browse an extensive session catalog of on-demand and live content showcasing innovations in autonomous vehicle development, instructor-led Deep Learning Institute (DLI) training, demos, podcasts, and Connect with the Experts sessions featuring live Q&A.