InsideDSP — In-depth analysis and opinion

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In early 2015 , Synopsys' DesignWare EV5x processor core family achieved notable attention for its unique co-processor engine focused on CNNs (convolutional neural networks) for object recognition and other vision functions. The company's new EV6x processor core family includes an
Modern SoCs increasingly contain a variety of processing resources: one or more CPU cores and a GPU, often with a DSP, programmable logic, or one or multiple special-purpose co-processors for tasks such as computer vision. Properly harnessed, such heterogeneous processors often deliver impressive
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Posted in Opinion
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The Internet of Things is an interesting phenomenon.  Most people involved in technology seem to believe that the IoT growing fast, and that it represents a big opportunity.  But most people also find it difficult to say exactly what the Internet of Things actually is , and how,
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Posted in Case Studies
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You know you’ve got a compelling story for your new product: it’s got unique features, addresses the requirements of multiple applications, and is supported by a full ecosystem. Now, how do you convince customers of its benefits and value? Earning customer confidence and trust is
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One key challenge for a technology company is identifying markets for its products. Let’s say you have an idea for entering a new market using your existing technology. How do you know if there’s a fit? How do you realistically assess your risk? With more than 25 years of experience
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Posted in Opinion
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Last summer , I wrote that the time was ripe for deployment of neural networks in mass-market applications. Last week, Google validated this point of view by announcing that is has developed a specialized processor for neural networks (dubbed the "Tensor Processing Unit," or TPU),
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Just last October , Cadence announced the then-latest generation in its computer vision processor core roadmap, the Tensilica Vision P5. Only seven months later , the Vision P5 has been superseded by the Vision P6 ( Figure 1 ). This rapid product development pace reflects the equally rapid
In late January of this year, Movidius and Google broadened their collaboration plans, which had begun with 2014's Project Tango prototype depth-sensing smartphone . As initially announced , the companies’ broader intention to "accelerate the adoption of deep learning within mobile
Convolutional neural networks (CNNs) and other "deep learning" techniques are finding increasing use in a variety of detection and recognition tasks:  identifying music clips and speech phrases, for example, and finding human faces and other objects in images and videos. As a result,
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With more and more products incorporating computer vision functionality, semiconductor vendors are increasingly designing specialized processors for vision applications. For product developers, this means that identifying the best processor (whether a chip for use in a system design, or an IP core