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.
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:
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Ashwin Vijayakumar is a lead applications architect with Intel’s New Technology Group. He is in charge of running the online developer community for Movidius™ Neural Compute Stick. As an entrepreneur, developer, maker and innovator, Ashwin believes that given the right developer tools, everybody can develop innovative products. Prior to joining Intel, Ashwin has served as a software development lead for ADAS and as a customer engineering lead for advanced robotics, IoT and smartphones.