Edge AI and Vision Alliance

May 2017 Embedded Vision Summit Vision Entrepreneurs’ Panel

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Chris Rowen, CEO of Cognite Ventures, moderates the Vision Entrepreneurs' Panel at the May 2017 Embedded Vision Summit. Other panelists include Mark Bowles, founder of ecoATM; Michael Tusch, CEO; and Remi El-Ouazzane, CEO of Movidius (an Intel company). What can we learn from leaders of successful vision-based start-ups? The expanding applications of embedded vision are […]

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Embedded Vision Insights: July 6, 2017 Edition

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LETTER FROM THE EDITOR Dear Colleague, TensorFlow has become a popular framework for creating machine learning-based computer vision applications, especially for the development of deep neural networks. If you’re planning to develop computer vision applications using deep learning and want to understand how to use TensorFlow to do it, then don’t miss next Thursday's full-day,

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May 2017 Embedded Vision Summit Introductory Presentation (Day 1)

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Jeff Bier, Founder of the Embedded Vision Alliance, welcomes attendees to the May 2017 Embedded Vision Summit on May 1, 2017 (Day 1). Bier provides an overview of the embedded vision market opportunity, challenges, solutions and trends. He also introduces the Embedded Vision Alliance and the resources it offers for both product creators and potential

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“Developing Real-time Video Applications with CoaXPress,” A Presentation from Euresys

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Jean-Michel Wintgens, Vice President of Engineering at Euresys, presents the "Developing Real-time Video Applications with CoaXPress" tutorial at the May 2017 Embedded Vision Summit. CoaXPress is a modern, high-performance video transport interface. Using a standard coaxial cable, it provides a point-to-point connection that is reliable, scalable and versatile. Wintgens shows, using real application cases and

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Embedded Vision Insights: June 20, 2017 Edition

Edge AI and Vision Alliance, Newsletters /

LETTER FROM THE EDITOR Dear Colleague, TensorFlow has become a popular framework for creating machine learning-based computer vision applications, especially for the development of deep neural networks. If you’re planning to develop computer vision applications using deep learning and want to understand how to use TensorFlow to do it, then don’t miss next month's full-day,

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“The Vision Acceleration API Landscape: Options and Trade-offs,” a Presentation from the Khronos Group

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Neil Trevett, President of the Khronos Group and Vice President at NVIDIA, presents the "Vision Acceleration API Landscape: Options and Trade-offs" tutorial at the May 2017 Embedded Vision Summit. The landscape of APIs for accelerating vision and neural network software using specialized processors continues to rapidly evolve. Many industry-standard APIs, such as OpenCL and OpenVX,

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Cloud-versus-Edge and Centralized-versus-Distributed: Evaluating Vision Processing Alternatives

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Although incorporating visual intelligence in your next product is an increasingly beneficial (not to mention practically feasible) decision, how to best implement this intelligence is less obvious. Image processing can optionally take place completely within the edge device, in a network-connected cloud server, or subdivided among these locations. And at the edge, centralized and distributed

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Embedded Vision Insights: June 8, 2017 Edition

Edge AI and Vision Alliance, Newsletters /

LETTER FROM THE EDITOR Dear Colleague, If you're creating algorithms and software that enable systems to see and understand the world around them and want to quickly come up to speed on using the popular TensorFlow framework, don't miss our full-day, hands-on training class next month: Deep Learning for Computer Vision with TensorFlow. It takes

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“Deep Visual Understanding from Deep Learning,” a Keynote Presentation from Professor Jitendra Malik

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Jitendra Malik, Arthur J. Chick Professor and Chair of the Department of Electrical Engineering and Computer Science at the University of California, Berkeley, presents the "Deep Visual Understanding from Deep Learning" tutorial at the May 2017 Embedded Vision Summit. Deep learning and neural networks coupled with high-performance computing have led to remarkable advances in computer

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“A Shallow Dive into Training Deep Neural Networks,” a Presentation from DeepScale

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Sammy Sidhu, Senior Engineer at DeepScale, presents the "A Shallow Dive into Training Deep Neural Networks" tutorial at the May 2017 Embedded Vision Summit. In this talk, Sidhu introduces the basics of training deep neural network models for vision tasks. He begins by explaining fundamental training concepts and terms, including loss functions and gradients. He

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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