AI & Machine Learning

  • Automation Taipei 2018 sets a milestone for collaboration

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  • Trends to track for next year, according to Silicon Labs4:32

    Trends to track for next year, according to Silicon Labs

    Ultra-low-power computing, connectivity, aka IoT, and machine learning are three of the areas that will dominate the tech news over the next year or two, along with security. That’s the response I got

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  • Voice assistant battles, part two: The strategic importance

    Build a cross platform user experience that makes it easy for consumers to interact, control and request things through their assistant.

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  • Chances and challenges for machine learning in highly automated driving, part 2: Theoretical background

    Chances and challenges for machine learning in highly automated driving, part 2: Theoretical background

    Part two defines the theoretical background of machine learning technology, as well as the types of neural networks available to automotive developers.

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  • New frontiers in automotive HMI and display design

    New frontiers in automotive HMI and display design

    HMI designs are now employing artificial intelligence (AI) technologies to reduce driver distractions through a new breed of gesture-recognition features.

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  • From logistics regression to self-driving cars: Chances and challenges for machine learning in highly automated driving

    From logistics regression to self-driving cars: Chances and challenges for machine learning in highly automated driving

    In part one of this three-part series, the authors investigate the drivers behind and potential applications of machine learning technology in highly automated driving scenarios.

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  • Four ways AI improves automotive design while maintaining brand identity

    How OEMs can safeguard their brand identities as technology development speeds ahead.

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  • From enabled to proactive: The evolution of home automation

    From enabled to proactive: The evolution of home automation

    Nearly 72 percent of millennial homeowners are willing to pay thousands more for smart home features, according to a 2016 study. Tomorrow’s homes will have to be predictive to be competitive.

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  • C-SKY selects UltraSoC embedded intelligence for Chinese developed AI SoC

    First project will be advanced artificial intelligence-based SoC

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  • Wearables Keep Workers Connected, Improve Operations

    Wearables Keep Workers Connected, Improve Operations

    Wearable devices that connect workers to equipment and expertise can reveal insights that boost productivity, lower costs, and increase safety.

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  • Four best practices for OEMs to drive double-digit growth in 2018

    After years of focusing on supply chain and operational initiatives, OEMs are now turning their sights to aftermarket growth.

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  • Getting back up: Coupling AI and memory class storage saves in a big way

    Getting back up: Coupling AI and memory class storage saves in a big way

    One of the weaknesses of the massively parallel architectures for AI is sensitivity to data loss on power failure, resulting in high costs for these data centers.

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  • Why Daimler selected Xilinx for AI and autonomous drive

    Why Daimler selected Xilinx for AI and autonomous drive

    Daimler didn’t select Xilinx as a partner simply to join the bandwagon. Rather, the German automaker is focused on autonomous drive applications and artificial intelligence (AI).

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  • Machine learning spotlight: Industry 4.0 and predictive maintenance

    Machine learning spotlight: Industry 4.0 and predictive maintenance

    I interviewed Eitan Vesely, CEO of Presenso to discuss Industry 4.0, the Smart Factory, and how companies like Presenso can fill the knowledge gap with Machine Learning for Industry 4.0.

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  • Artificial intelligence and automotive: Happy together

    Artificial intelligence and automotive: Happy together

    ADAS and autonomous car designs are unleashing the levels of innovation unprecedented in the technology business. At the same time, however, AI is turning the industry upside down.

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  • ACEINNA emerges as $50 million sensor technology "spin out"

    ACEINNA emerges as $50 million sensor technology "spin out"

    ACEINNA (pronounced "A See Nah"), has emerged from behind the curtains as one of the largest "spin out" companies in the MEMS and sensing technology sector. In addition, today we have launched the...

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  • Marketer’s guide to Arm TechCon

    Your Guide to increasing exposure, driving leads, booth traffic, and outshining your competitors at Arm TechCon.

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  • FPGAs for embedded AI: Reducing power consumption, programming complexity for mass markets

    FPGAs for embedded AI: Reducing power consumption, programming complexity for mass markets

    Developers are investigating AI in embedded applications for automotive, industrial, and consumer markets. Many of these have strict thresholds in terms of the power consumption and complexity.

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  • COMPUTEX review

    This year, COMPUTEX gathered over 1,600 hardware and software suppliers from 30 countries to demonstrate their technology, solutions and products to global buyers.

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  • Marketer’s guide to Sensors Expo 2018

    Marketer’s guide to Sensors Expo 2018

    Your guide to increasing exposure, driving leads, booth traffic and outshining your competitors at Sensors Expo.

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