InsideDSP — In-depth analysis and opinion

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We're hearing more and more about the effectiveness of deep learning for a growing range of applications. With the surge in the volume of data available for training, and reduction in the cost of computing, technologists have turned to deep neural networks for solutions to compute-intensive
Last year, when CEVA introduced the initial iteration of its CDNN (CEVA Deep Neural Network) toolset, company officials expressed an aspiration for CDNN to eventually support multiple popular deep learning frameworks. At the time, however, CDNN launched with support only for the well-known Caffe
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The general trend of recent times is toward developing DSPs that are specialized for particular "killer" applications , such as wireless or embedded vision. Many other applications also need DSPs, however, and Cadence's Tensilica Fusion DSP core family, which complements the
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Posted in Opinion
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If you’ve read recent editions of this column, you know that I believe that embedded vision – enabling devices to understand the world visually – will be a game-changer for many industries.  For humans, vision enables many diverse capabilities: reading your spouse’s
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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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
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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