_Badging and RSVP policy:_ _Please help us with badging and sign-up for this Meetup with your first and last name by answering the question during RSVP. That way we can print out the badges ahead of time and speed up the sign-in process. Thanks!_ We would also like to reiterate our RSVP policy: If you are on the waitlist and we think the event venue will be at or close to capacity you will have
RSVP'd
Badging and RSVP policy:
Please help us with badging and sign-up for this Meetup with your first and last name by answering the question during RSVP. That way we can print out the badges ahead of time and speed up the sign-in process. Thanks!
We would also like to reiterate our RSVP policy: If you are on the waitlist and we think the event venue will be at or close to capacity you will have to wait until 6:45 before we allow you into the room. If you are RVSPd we will keep your spot available until 15 minutes before the announcements, after that your spot will be given to someone present on the waitlist. If the room is filled at anytime earlier, we will deny entrance.
Schedule:
6:00-7:00pm Networking and light food
7:00-7:10pm Announcements
7:10-7:30pm Tango - Eitan Marder-Eppstein, Senior Software Engineer, Google
7:30-8:30pm Image Understanding: What Machines See - Sherol Chen, Developer Advocate, Google
Abstract/Speaker Bios:
Eitan Marder-Eppstein is the Developer Engineering Lead for Tango - which is a focused effort to bring computer vision and advanced sensor fusion to mobile platforms. Previously, he worked in robotics as President of hiDOF, and as a core contributor to the Robot Operating System (ROS) at Willow Garage. In 2008, Eitan received his Masters in Computer Science from Washington University in St. Louis.
Abstract: Tango
Sherol Chen works with games product groups and Machine Learning tools at Google as a Developer Advocate. Additionally, she is a pre-collegiate instructor for Stanford University. She's taught at Stanford and around the world in five different countries. Her PhD work is in Computer Science, researching storytelling and Artificial Intelligence.
Abstract: Machine Perception and understanding of Image content can drive many interesting scenarios. Previously, it took years of ML model development, acquiring training data to build these models. Now with easy to to use Cloud APIs you can access powerful models with a simple REST API. We will look at how the technologies that drive Google products like Image Search carries over into other applications. The presentation will show how Cloud Vision API enables you to easily build new scenarios around Optical Character Recognition, Label and Landmark detection.
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