A large amount of AI content is planned, including in technical sessions, demonstrations and hands-on labs.
Additionally, a number of highly respective AI Luminaries will give talks at the event.
Here are some of the Luminary and Technical sessions.
Dr. Song Han Creator of Deep Compression, Assistant Professor Tuesday | October 1 | 11:15-12:15 PM, PT Learn about hardware-aware AutoML and neural architecture search for efficient deep learning.
Senior Director of Business Development Tuesday | October 1 | 12:45-1:45 PM, PT Join session on how to develop & deploy accelerated applications at global scale on Amazon EC2 F1 Instances.
VP, AI, Machine Learning & HPC, IBM Cognitive Systems Tuesday | October 1 | 2:15-3:15 PM, PT Listen to Sumit Gupta talk about the relationship between IBM PowerAI and Xilinx Alveo cards.
Principal Video Specialist & Engineering Manager Tuesday | October 1 | 2:45-3:15 PM, PT In this talk, learn how Twitch eSports live streaming leverages the Xilinx platform.
Professor at UC Berkeley and founder of Deepscale Tuesday | October 1 | 5:15-6:15 PM, PT AI scientists and developers: Don't miss this talk from Professor Keutzer, founder of Deepscale.
Team leader, Machine Learning Cloud Dev. Team Wednesday | October 2 | 8:00-9:00 AM, PT Together with Song Yao, Xilinx Sr. Director of AI Business, Mr. Chung will discuss his experience with the AI optimizer and pruning tools.
Dr. Jason Cong
Distinguished Chancellor's Professor Wednesday | October 2 | 9:30-10:30 AM, PT Attend this talk on Democratizing Customizable Computing.
Dr. Kei Hiraki
Inventor, Chainer, and Emeritus Professor at University of Tokyo Wednesday | October 2 | 12:30-1:30 PM, PT Learn about the development of a very high-speed, low power computer system for deep learning at Preferred Networks.
Creator of TVM Stack, XGBoost, and MXNet Wednesday | October 2 | 3:30-4:30 PM, PT Connect with industry innovator Tainqi Chen during his discussion on widely adopted machine learning systems.
This is a rare opportunity to learn about the state of the art in AI. We look forward to seeing you there!