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Embedded Vision Insights: September 26, 2017 Edition

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LETTER FROM THE EDITOR

Dear Colleague,Efficient Processing for Deep Learning Webinar

Deep neural networks (DNNs) are proving very effective for a variety of challenging machine perception tasks, but these algorithms are very computationally demanding. To enable DNNs to be used in practical applications, it’s critical to find efficient ways to implement them. The Embedded Vision Alliance will delve into these topics in the free webinar,  "Efficient Processing for Deep Learning: Challenges and Opportunities," on Thursday, September 28 at 10 am Pacific Time. This webinar explores how DNNs are being mapped onto today’s processor architectures, and how both DNN algorithms and specialized processors are evolving to enable improved efficiency. It is presented by Dr. Vivienne Sze, Associate Professor of Electrical Engineering and Computer Science at MIT (www.rle.mit.edu/eems). Sze will also offer suggestions on how to evaluate competing processor solutions in order to address your application and design requirements. To register, see the event page.

The Embedded Vision Summit is the preeminent conference on practical computer vision, covering applications from the edge to the cloud. It attracts a global audience of over one thousand product creators, entrepreneurs and business decision-makers who are creating and using computer vision technology. The Embedded Vision Summit has experienced exciting growth over the last few years, with 98% of 2017 Summit attendees reporting that they’d recommend the event to a colleague. The next Summit will take place May 22-24, 2018 in Santa Clara, California. The deadline to submit presentation proposals is November 10, 2017. For detailed proposal requirements and to submit proposals,...