Join ICME Stanford and NVIDIA for their annual GPUniversity at Stanford ICME in the Jen-Hsun Huang Engineering Center on October 12, 2016.

Come explore the future of AI computing—from robotics and medicine to finance and self-driving cars. Discover how GPUs are powering this revolution with hands-on demos, deep learning workshops, and tech talks with experts who are creating new realities with AI.

When: Wednesday, October 12, 2016 | 10:00AM – 6:00PM

Who can attend?: All Stanford University students, professors and faculty

Deep Learning Workshop Information:

In these workshops you will learn how to quickly train a deep neural network to detect objects within your datasets using the Deep Learning GPU Training System (DIGITS).

Equipment needed: wifi enabled laptop with a modern browser (not IE).

• Workshop 1 | Approaches to Object Detection using DIGITS – 90 minutes (1:30 PM – 3:00PM)
• Workshop 2 | Deep Learning Network Deployment – 90 minutes (3:00PM – 4:30 PM)

Find out more about NVIDIA Digits here: https://developer.nvidia.com/digits

Register for the events you would like to attend. Seating is limited.

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Agenda:

10:00AM – 11:00AM Keynote, Jen-Hsun Huang (Seating is limited)

11:00AM – 12:30PM Speakers

- 11:00 am: Kay Giesecke: Deep Learning for Housing Markets

- 11:30am: Silvio Savarese: Deep Learning for Vision and Robotics

- 12:00pm: Daniel Rubin: Deep Learning for Medical Imaging

12:30PM Hands-On Demos and Lunch

1:30PM Deep Learning Workshop: Approaches to Object Detection using DIGITS

3:00PM Deep Learning Workshop: Deep Learning Network Deployment

4:30PM Speaker, Bryan Catanzaro (VP, Applied Deep Learning Research, NVIDIA)

5:00PM Reception

Food and Refreshments will be provided throughout the day.

About NVIDIA:

NVIDIA makes computers that are loved by the most demanding users in the world—gamers, designers, and scientists. We pioneered GPU computing—a supercharged form of computing. The GPU evolved from a 3D graphics chip into a computer brain that gives humans the power to simulate virtual worlds and computers the intelligence to understand the real world. Gaming. Virtual reality. AI and deep learning. Self-driving cars. We apply our deep expertise and significant scale to large growth markets like these, where our specialty is greatly valued.