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Jetson TX2 is NVIDIA's latest board-level product targeted at computer vision, deep learning, and other embedded AI tasks, particularly focused on "at the edge" inference (when a neural network analyzes new data it’s presented with, based on its previous training) ( Figure 1
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One of the most interesting resources for those interested in the rapidly growing field of deep learning is the " Cognitive Computing Startup List ," compiled by Chris Rowan of Cognite Ventures . As of February 21, Chris had identified 275 companies that are, in his words, "the most
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It's remarkable to see the range of applications in which deep neural networks are proving effective – often, significantly more effective than previously known techniques. From speech recognition to ranking web search results to object recognition, each day brings a new product or
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Image-sensor maker Himax, processor core vendor CEVA, and algorithm provider emza Visual Sense have partnered to develop a low-power "always on" vision sensor module with integrated visual analytics. The three companies offered a conceptual demonstration of the product, dubbed the
Computer vision promises to be the key to the next set of "killer apps"—computer vision-enabled apps that will leverage artificial intelligence to help keep us safer and healthier. But computer vision algorithms are compute- and power-intensive, and need to process large amounts of
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At this year’s Consumer Electronics Show, I walked many miles and saw countless demos. Several of these demos were memorable, but one in particular really got my mental gears turning: Microsoft’s HoloLens. HoloLens, of course, is Microsoft’s “mixed reality”
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Earlier this week, Google announced the spin-off of its self-driving car project into a stand-alone business. Will Google become a major player in the automotive industry? Today, that idea seems far-fetched. On the other hand, 15 years ago Apple was a personal computer company, and few would have
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Look back over the history of processors, and you'll see many examples of tasks initially restricted to running on high-end processors that, once they became popular and standardized, eventually attracted specialized co-processor or processor support ( Figure 1 ). Consider, for example, video
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Processor vendors and system designers share a common concern: how to make sure their products meet customer needs. For processor vendors, a key challenge is to design architectures with enough performance to meet the demands of current and anticipated applications while staying within acceptable
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For humans, it goes without saying that vision is extremely valuable. When you stop to think about it, it’s remarkable what a diverse set of capabilities is enabled by human vision – from reading facial expressions, to navigating complex three-dimensional spaces (whether by foot,