![]() ![]() In addition, built in Digi TrustFence® enables OEM developers to integrate critical security and data privacy capabilities into their products.ĪI at the Edge: Machine Learning in Embedded Systems Are you looking to integrate artificial intelligence (AI) into your next product design? How about machine learning (ML) and. It helps OEMs lower their R&D and development costs and realize a lower total cost of ownership by leveraging pre-certified wireless connectivity, remote management, cloud integration and a complete Linux® software platform based on Yocto Project®. This SOM is designed for industrial reliability and the 10+ year product lifecycles of embedded devices. anomaly detection).ĭigi ConnectCore 8M Nano features up to 4x power-efficient Arm® Cortex®-A53 cores and 1x Cortex-M7 core, which allow it to minimize power consumption while maintaining a high standard of performance. The Nano is designed for a wide range of industrial, medical, agricultural and transportation applications, including Internet of Things (IoT), human-machine interface (HMI), equipment monitoring, audio/voice, edge computing and machine learning (e.g. ![]() The findings provide insightful implications to understand how consumers decide their engagement with free digital content delivered via social media channels.Digi ConnectCore® 8M Nano, based on the NXP® i.MX 8M Nano application processor, is an integrated system-on-module (SOM) platform. When facing strenuous exercises, the consumer group relies more on peer users and less on marketers to make their content consumption decisions. More importantly, product features, such as exercise intensity, moderate the impacts of UGC and MGC on free digital content consumption. While both normative and social UGC are positively associated with online fitness videos' view count increase, the impact of informational UGC is insignificant. We further categorize UGC into three dimensions, where favorability represents the normative dimension, various textual features represent the informational dimension, and reply-density of the self-organized reviewer community represents the social dimension. Using a dataset collected from a leading online fitness brand, we find that both UGC and MGC affect a free fitness video's incremental view count. To fill the gap, we integrate the UGC and MGC literature and research of determinants of physical exercise to develop a comprehensive conceptual model. Yet it is unclear how UGC and MGC jointly affect the overall market reaction, when digital content is freely available to all consumers. The literature has shown that user-generated content (UGC) and marketer-generated content (MGC) simultaneously influence consumers' decision-making process. ![]()
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