Intel


	"Designing Deep Neural Network Algorithms for Embedded Devices," a Presentation from Intel Minje Park of Intel delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.
	"How Intel’s Latest RealSense Technology Can Help Your Embedded Systems See, Navigate, and Understand the Real World," a Presentation from Intel Anders Grunnet-Jepsen of Intel delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.
	"Vision for All?," a Presentation from Intel Jeff McVeigh of Intel delivers a Business Insights presentation at the May 2017 Embedded Vision Summit.
	"Making OpenCV Code Run Fast," a Presentation from Intel Vadim Pisarevsky of Intel delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.
	"The Battle Between Traditional Algorithms and Deep Learning: The 3 Year Horizon," a Presentation from Intel's Movidius Group Cormac Brick of Intel's Movidius Group delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.
	Vision Processing Opportunities in Virtual Reality VR systems are incorporating practical computer vision techniques both to improve the user experience and reduce system cost.
	Vision Processing Opportunities in Drones Drones are a rapidly growing market for both consumer and commercial applications, and they increasingly leverage embedded vision technology
	"Dataflow: Where Power Budgets Are Won and Lost," a Presentation from Movidius Sofaine Yous of Movidius delivers a technical presentation at the May 2016 Embedded Vision Summit.
	"Getting from Idea to Product with 3D Vision," a Presentation from Intel and MathWorks Anavai Ramesh of Intel and Avinash Nehemiah of MathWorks deliver a technical presentation at the May 2016 Embedded Vision Summit.
	Deep Learning for Object Recognition: DSP and Specialized Processor Optimizations Deep learning has been enabled by, among other things, the steadily increasing processing "muscle" of CPUs aided by co-processors.

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