InsideDSP — In-depth analysis and opinion

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Posted in Opinion
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In recent months, evidence has continued to mount that artificial neural networks of the "deep learning" variety are significantly better than previous techniques at a diverse range of visual understanding tasks. For example, Yannis Assael and colleagues from Oxford have demonstrated
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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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
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Qualcomm formally unveiled the Snapdragon 835 , its latest premium-tier mobile processor, at the Consumer Electronics Show earlier this month after a last-fall "tease" . Sporting eight CPU cores and fabricated in Samsung’s latest 10 nm process, the new chip represents the next
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Posted in Case Studies
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 “…software is changing at head-spinning rates, driven by advances in how computers process giant amounts of data using artificial-intelligence techniques,” said the Wall Street Journal in a recent article, highlighting the challenge faced by smartphone software
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HPC (high-performance computing) servers, which have notably embraced the GPGPU (general-purpose computing on graphics processing units) concept in recent years, are increasingly being employed for computer vision and other deep learning-based applications. Beginning in late 2014, NVIDIA
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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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In March, InsideDSP covered the CEVA-X4 , the first member of the company's cellular DSP core family based on its CEVA-X architecture framework, and focused on smartphones and tablets that support gigabit-per-second LTE-Advanced and LTE-A Pro protocols. In June, the company introduced the
NVIDIA was an early and aggressive advocate of leveraging graphics processors for other massively parallel processing tasks (often referred to as general-purpose computing on graphics processing units, or GPGPU). The company's CUDA software toolset for GPU computing has to date secured only
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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