Self Driving Cars are the hottest application for #AI in Silicon Valley. We've invited 4 speakers to share how they are pushing the industry forward.
This event is limited to 150 people: The first 70 (free) tickets sold out in 1.5 hours. Get on our Early Bird (http://sv.ai) list for future event announcements!
Forrest graduated from UC Berkeley with a PhD in Electrical Engineering and Computer Science (EECS) in 2016. At Berkeley, Forrest has been involved in Berkeley Deep Drive (BDD) and a number of other research centers on applying machine learning and computer vision to practical applications. His research led to the Founding of DeepScale (deepscale.ai (http://deepscale.ai/)), which has core technology in: Training data for machine learning algorithms, rapid deep neural network (DNN) training, ground-up redesigns of DNN architectures, and efficient DNN deployment in embedded/IoT applications. DeepScale has focused this skillset on the automotive industry, where they have a number of customer engagements.
"Opportunities to build tools and datasets for ML/ AI companies"
Devaki is the co-founder and CEO of CrowdAI, a startup processing large amounts of high quality data for machine learning algorithms. She holds a Masters in Statistics from the University of Oxford. She spent 3.5 years at Google as a statistician working on projects on maps, Android, life sciences and [x]. Devaki has been working with self driving car companies and is in the current batch of YCombinator.
Austin is the Founder of a sensing company in stealth mode. He has significant experience building 3D mapping and vision systems for applications in Autonomous Vehicles. Ben began working with Austin in 2016 to bring significant data processing expertise to the table. Both Austin and Ben are recipients of the Thiel Fellowship.
Beverages: Infused water, Still water, Coffee & Tea.
*This event is strictly limited to 150 people. You MUST be pre-registered to attend. We will be checking people in the building elevator lobby. Questions or comments? Tweet to us @SVAIresearch (https://twitter.com/svairesearch)
