MSYT: Bring Intelligence to the Edge with Intel’s Neural Compute Stick

Market research estimates there will be as many as 20 billion connected devices in the market by 2020*. These devices are expected to generate billions of petabytes of data traffic between cloud and edge devices. In 2017 alone, 8.4B connected devices* are expected in the market which is sparking a strong need to pre-process data at the edge. This has led many IoT device manufacturers, especially those working on vision based devices like smart cameras, drones, robots, AR/VR, etc., to bring intelligence to the edge.
  • MSYT: Bring Intelligence to the Edge with Intel’s Neural Compute Stick
  • 2017-11-10T04:00:00+11:00
  • 2017-11-10T05:00:00+11:00
  • Market research estimates there will be as many as 20 billion connected devices in the market by 2020*. These devices are expected to generate billions of petabytes of data traffic between cloud and edge devices. In 2017 alone, 8.4B connected devices* are expected in the market which is sparking a strong need to pre-process data at the edge. This has led many IoT device manufacturers, especially those working on vision based devices like smart cameras, drones, robots, AR/VR, etc., to bring intelligence to the edge.
  • What IoT Technology
  • When 10 November 2017 from 04:00 AM to 05:00 AM (Australia/Melbourne / UTC1100)
  • Where https://intelvs.on24.com/vshow/IntelWebinarEvents/content/1530013
  • Web Visit external website
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Through the recent addition of the Movidius™ VPU technology to its existing AI edge solutions portfolio, Intel is well positioned to provide solutions that help developers and data scientists pioneer the low-power intelligent edge devices segment. This webinar will provide developer-level insight into Intel’s Neural Compute Stick – a low-cost, form-factor developer kit for low-power vision based embedded inference applications.

What You Will Learn:

  • Insights into how Movidius™ VPUs are pioneering DNN accelerated vision processing.
  • Introduction to hardware and software components of NCS.
  • Walkthrough of online resources for NCS developers.
  • Workflow of network profiling and application development using NCS.
  • Advanced demo and sample code built using NC SDK’s API framework.

*Source: http://www.gartner.com/newsroom/id/3598917