What's in Store at GTC Digital
The following activities will be virtual events that take place at a specific time (early registration recommended). Participants will be able to interact in real time with the presenters.
Training Sessions:
- Seven full-day, instructor-led workshops, from March 25 to April 2, on data science, deep learning, CUDA, cybersecurity, AI for predictive maintenance, AI for anomaly detection, and autonomous vehicles. Each full-day workshop costs $79.
- Fifteen 2-hour training sessions running April 6-10, on various topics, including autonomous vehicles, CUDA, conversational AI, data science, deep learning inference, intelligent video analytics, medical imaging, recommendation systems, deep learning training at scale, and using containers for HPC. Each two-hour instructor-led session costs $39.
Live Webinars: Seventeen 1-hour sessions, from March 24-April 8, on various topics, including data science, conversational AI, edge computing, deep learning, IVA, autonomous machines and more. Live webinars will be converted to on-demand content and posted within 48 hours.
Free.
Connect with Experts: Thirty-eight 1-hour sessions, from March 25-April 10, where participants can chat one-on-one with NVIDIA experts to get answers in a virtual classroom. Topics include conversational AI, recommender systems, deep learning training and autonomous vehicle development.
Free.
The following activities will be available on demand:
Recorded Talks: More than 150 recorded presentations with experts from leading companies and universities around the world, speaking on a variety of topics such as computer vision, edge computing, conversational AI, data science, CUDA, graphics and ray tracing, medical imaging, virtualization, weather modeling and more.
Free.
Tech Demos: We'll feature amazing demo videos, narrated by experts, highlighting how NVIDIA GPUs are accelerating creative workflows, enabling analysis of massive datasets and helping advance research.
Free.
AI Podcast: Several half-hour interviews with leaders across AI and accelerated computing will be posted over the next four weeks. Among them: Kathie Baxter, of Salesforce, on responsible AI; Stanford Professor Margot Gerritsen on women in data science and how data science intersects with AI; Ryan Coffee, of the SLAC National Accelerator Lab, on how deep learning is advancing physics research; and Richard Loft, of the National Center of Atmospheric Research, on how AI is helping scientists better model climate change.
Free.
Posters: A virtual gallery of 140+ posters from researchers around the world showing how they are solving unique problems with GPUs. Registrants will be able to contact and share feedback with researchers.
Free.
