nvidia
Join us for this engaging, informative webinar and live Q&A session to find out more about how to use AWS ML services and AWS IoT Greengrass to develop deep learning models and deploy on the edge with NVIDIA Jetson Nano. During this webinar we will create a sample deep learning model, set up AWS IoT Greengrass on Jetson Nano and deploy the sample model on Jetson Nano using AWS IoT Greengrass.
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Avnet
The emergence of the Internet of Things has changed the way engineers approach environmental control systems. It is now easier than ever to control the direct and indirect environmental factors to which housing, urban areas, or industrial plants are subject, through cloud-based solutions, thresholds and automatic response procedures. Sensors play a key role in these systems, gathering the data from which intelligent decisions can be made by a central control system.
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The “Things” of the Industrial Internet of Things (IIoT) will show their true value when actionable business intelligence information can be pulled from the data they provide. However, current analytics products are only the tip of the iceberg. As the future approaches, next generation analytics and artificial intelligence technologies will support data and real time decision making at the point of production.
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Keysight Technologies
The availability of LTE network coverage in a customer location is not an accurate indication of a fully operational NB-IoT or LTE-M service. Internet of Things (IoT) devices are typically installed in remote locations such as basements and garages where the network signals are weak. Failure events and transmission repetitions often occur in poor conditions, quickly consuming the battery and even failing to connect.
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