The MAX78000 Arm Cortex-M4, available from Digi-Key, is a new breed of AI MCU built to enable neural networks at ultra-low power and live at the edge of the IoT.
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Digi-Key Electronics has introduced a power focus campaign with MEAN WELL to provide a broader range of configurable power supply solutions to its customers.
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Digi-Key Electronics has launched an enhanced traceability feature called Part Tracing, for printing information to appear directly on cut tape products. This new development will enable engineers to better organise their components and also improve traceability.
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Machine-to-Machine (M2M) networks are, at their core, a permutation of industrial telematics – combinations of telecommunications and informatics that use data to run automated operations. M2M networks include sensors, controls, and machines that communicate without human involvement. Machines in such networks can be in the same facility or a half a world apart.
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Cool Edge Connectors, available from Digi-Key, provide ultra-high-speed and high-power solutions in the tiniest form factor, offering multiple configurations supporting most BTB applications in the electronics market.
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As a result of constant innovation, there are multiple, incompatible wireless options for Internet of Things (IoT) applications. While it’s always good to have choices, this also complicates the deployment of wireless networks – especially in the case of legacy Industrial IoT (IIoT) installations where multiple wireless networks may already be deployed, and where hundreds or thousands of sensors now need to be added throughout multiple facilities.
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With ADI's expertise in providing accurate and trusted data, reliable and low power connectivity, and with our own factories as pilot sites, we're at the battlefront of the Industrial IoT and the implementation of Industry 4.0.
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Wearable devices with health and fitness tracking capabilities are growing in popularity. While accelerometers typically feature as a key motion sensor in such applications, they are limited in their ability to provide an accurate estimate of vertical motion, which is essential for accurately determining such parameters as calories expended when climbing an incline.
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