Author: lreese_admin

New Wheel Chair Kit Powered by AI Uses Facial Expressions for User Control

December 20th, 2018 By Lynnette Reese, Editor-in-Chief, Embedded Intel Solutions Instead of invasive body sensors, HOOBOX Robotics’ kit, powered by Intel® AI technologies, uses a 3D Intel RealSense camera mounted on the wheelchair to stream data that AI algorithms process in real time to control the chair. Everyday, most people use artificial intelligence (AI) for […]

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Ethernet: Example of a Gargantuan Appetite for Data Centers

December 10th, 2018 By Lynnette Reese, Editor-in-Chief, Embedded Systems Engineering Ethernet technology is stretching to meet the growing demands of data centers for a data-centric society. Data centers are reaching phenomenal sizes. A 3.5 million square foot data center in Las Vegas, Nevada “provides fiber optic-speed information retrieval to over 50 million customers in the […]

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Better 5G with AI?

November 29th, 2018 By Lynnette Reese, Editor-in-Chief, Embedded Systems Engineering The long-promised 5G cellular network is slowly rolling out, one stage of standards at a time, with much marketing fanfare. The final and complete global standards for 5G are to be released in 2020. A patchwork of different communications technologies will combine ultra-densification, massive multiple-input […]

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Linux-based Virtualization for IoT Edge Devices

November 27th, 2018 By Lynnette Reese, Editor-in-Chief Embedded Intel® Solutions, Embedded Systems Engineering Linux containers, which enable virtualization anywhere, are now a standard tool in cloud development and deployment workflows. One company, balena, has harnessed all that container goodness for the embedded world in IoT, greatly improving reliability, power efficiency, and security in Edge devices. […]

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A Brief Tutorial on Artificial Neural Networks and their Training

November 15th, 2018 By Lynnette Reese, Editor-in-Chief, Embedded Systems Engineering A machine learning algorithm is only a computer program, but it works by improving its performance with every piece of clearly identified data. Artificial neural networks are merely fitting the parameters of a complex function to huge data sets using mathematical models and statistics to […]

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From Cable-TV Scrambling to Security: Simple Obfuscation Isn’t Enough

September 5th, 2018 By Lynnette Reese, Editor-in-Chief, Embedded systems Engineering A Dutch company that’s been securing electronic content delivery for decades wants to bring its experience to IoT. Are pay-TV hackers all that different from hackers of IoT? Irdeto (pronounced “Ear-debt-oh”) has been in the security business for around 50 years. Irdeto started out in […]

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Automotive Industry Eyes Low-Cost, Low-Latency PCIe for Sharing Resources

September 18th, 2018 By Lynnette Reese, Editor-in-Chief, Embedded Systems Engineering The reliable, low-latency and cost-effective PCI Express interconnect is looking attractive to the automotive industry. Advanced features enable connecting processors, NVMe drives, and GPUs together to usher in next generation multimedia and autonomous vehicles. The automotive industry is eyeing Peripheral Component Interconnect Express (PCIe) as […]

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