On February 1, 2017 in San Jose, California, Embedded Vision Alliance member company Cadence will host the 2017 Embedded Neural Network Summit, with the theme Deep Learning: The New Moore’s Law. Alliance founder Jeff Bier will be one of the expert presenters at the conference. From the event page:
In today’s world, there is an enormous amount of data that requires robust processing power to make intelligent decisions for applications from image, pattern, and speech recognition to natural language processing and video analysis. The applications for convolutional neural networks are here and growing.
Cadence is hosting the Embedded Neural Network Summit 2017, Deep Learning: The New Moore’s Law, showcasing experts who have a profound understanding of convolutional neural networks and have applied these complicated algorithms in various products and applications. Attendees will be treated to a panel discussion at the end of the speaking sessions.
Attend this event and hear from our impressive lineup of deep learning technology experts.
- Jeff Bier, BDTI president and founder of Embedded Vision Alliance
- Dr. Yu Kai, Founder and CEO, Horizon Robotics
- Kunle Olukotun, Professor of Electrical Engineering and Computer Science, Stanford
- Todd Mozer, Chairman and CEO, Sensory
- Wenhao Wu, Vice President of Cloud Services, Megvii Technology
- Song Han, PhD Candidate at Stanford University
- Chris Rowen, Principal at Cognite Ventures
- Samer Hijazi, Sr. Design Engineering Architect, Cadence
To register for this free one-day event, please see here. For more information, please email [email protected].
