Latest IPv6 and IoT news
Spending Surge Predicted for Factory Data Management
May 26, 2020 By George Leopold As big data goes, the industrial sector is among the largest producers, with sensors collecting data along assembly lines on everything from the status of manufacturing equipment to product inspection cameras. Industrial Internet of Things deployments are therefore expected to boost manufacturers’ already hefty investments in data management and analytics tools as producers seek to up their game from merely collecting to organizing and gleaning insights from industrial data. That trend is seen pushing industrial spending to new heights. For example, ABI Research last week forecast that manufacturers and industrial firms will spend $19.8 billion in 2026 on data management, data analytics and related digital services. Those investments will target operations ranging from predictive equipment maintenance to production line optimization. A return on those investments requires upfront planning in terms of priorities, whether the goal is scaling production, improving quality or reducing downtime. Setting priorities also requires closer ties with suppliers, the market researcher said. “For many manufacturers, there is an appreciation that operational decisions need to be based on empirical evidence rather than ... Read more...Edge Impulse makes TinyML available to millions of Arduino developers
May 26, 2020
By Arduino Team
This post is written by Jan Jongboom and Dominic Pajak.
Running machine learning (ML) on microcontrollers is one of the most exciting developments of the past years, allowing small battery-powered devices to detect complex motions, recognize sounds, or find anomalies in sensor data. To make building and deploying these models accessible to every embedded developer we’re launching first-class support for the Arduino Nano 33 BLE Sense and other 32-bit Arduino boards in Edge Impulse.
The trend to run ML on microcontrollers is called Embedded ML or Tiny ML. It means devices can make smart decisions without needing to send data to the cloud – great from an efficiency and privacy perspective. Even powerful deep learning models (based on artificial neural networks) are now reaching microcontrollers. This past year great strides were made in making deep learning models smaller, faster and runnable on embedded hardware through projects like TensorFlow Lite Micro, uTensor and Arm’s CMSIS-NN; but building a quality dataset, extracting the right features, training and deploying these models is still complicated.
Using Edge ... Read more...Dr William Wu, Founder of One4City And Innovation Insight Lead at Cisco On Eco City & Smart City Innovation
May 26, 2020 By Hernaldo Turrillo Dr William Wu, founder of One4City and Innovation Insight Lead at Cisco Innovation EMEAR, is the new guest in this interview series hosted by citiesabc founder Dinis Guarda. Both experts talk in-depth about trending topics in the eco city and smart city space, including new emerging technologies, the need for a holistic and international approach and collaboration between all players involved. Likewise, Dr William Wu tells us more about his new project, One4City, a comprehensive and evolving digital portal for a one-stop shop for UK Smart City solutions. Interview Focus 1. An introduction from you – background, overview, education… 2. Career highlights 3. Eco cities: history and definition 4. Eco cities: Urban planning and development 5. The Shift to Smart Cities 6. One4City Overview: vision, focus and goals 7. The main trends in tech for cities and society 8. 5G, AI, IoT & big data analytics in Smart Cities 9. With Covid-19 how can you look at this as a way to redesign our society 10. Future vision Quotes and Highlights · I started my career right after I finished my Master in ... Read more...
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