Friday 1/24

The ever-advancing field of machine learning has created new opportunities for deploying devices and applications that leverage neural network inferencing with never-before-seen levels of vision-based functionality and accuracy. But, the rapidly evolving field has given way to a confusing landscape of processors, accelerators, and libraries. This article treats open interoperability standards and their role in reducing costs and barriers to using inferencing and vision acceleration in real-world products.
The custom-designed module measures a tiny 10 mm x 15 mm x 1.5 mm while delivering up to 4 TOPS of performance at the expense of only 2 TOPS per watt of power consumption. This is thanks in part to a PMIC integrated into the Edge TPU chipset.
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The latest version adds 23 extensions to the Vulkan API that provide access to new hardware functionality, increase application performance, and improve overall usability.
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The NanoVision demo kit for the NanEyeC is based on an Arduino development platform, and includes all necessary drivers to interface the sensor?s Single-Ended Interface Mode output to an Arm Cortex-M7 microcontroller.
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A variety of studies have all supported that 20-60 percent of households have serious concerns about privacy and ?always listening? devices that send conversations to the cloud. But it could get revived through a couple of new initiatives which will have a big effect on embedded voice assistants.


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