AI & Machine Learning

  • Green Buildings Get a Boost: Wireless Sensor Nodes as a Key Application for Energy Harvesting

    Green Buildings Get a Boost: Wireless Sensor Nodes as a Key Application for Energy Harvesting

    The concept of energy harvesting has been around for over a decade; however, the implementation of ambient energy-powered systems in the real-world environment has been cumbersome, complex and costly.

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  • Artificial Intelligence and Machine Learning – Path to Intelligent Automation

    Artificial Intelligence and Machine Learning – Path to Intelligent Automation

    AI includes a wide range of technologies such as machine learning, deep learning (DL), optical character recognition (OCR), natural language processing (NLP), voice recognition, and so on.

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  • Scaling AIoT Projects Through Correct Component Selection

    Scaling AIoT Projects Through Correct Component Selection

    AIoT is the combined effort of the two technologies that have been dominating the field over the past few years (AI and IoT).

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  • AI Model Training & Execution Now Possible on MCUs via ONE Tech MicroAI Atom

    ONE Tech estimates that MicroAI Atom algorithms, which run recursive analysis and reside directly on target MCUs at the edge, reduce the cost of deploying endpoint intelligence by a minimum of 80%.

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  • Blending DSP and ML features into a low-power general-purpose processor – how far can we go?

    Blending DSP and ML features into a low-power general-purpose processor – how far can we go?

    New technology from Arm is blending DSP and ML features into a low-power general-purpose processor for the first time. What are the challenges? How far can we go?

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  • PFU Joins Qualcomm Smart Cities Accelerator Program and Collaborates with Innominds on Contactless Facial Biometric Tech

    PFU Joins Qualcomm Smart Cities Accelerator Program and Collaborates with Innominds on Contactless Facial Biometric Tech

    The collaboration with Innominds is expected to drive transformational initiatives in identity management through the combination of facial recognition technologies.

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  • AAEON Releases the BOXER-8251AI AI Edge Box PC

    AAEON Releases the BOXER-8251AI AI Edge Box PC

    AAEON announced the release of the BOXER-8251AI AI edge box PC powered by NVIDIA® Jetson Xavier™ NX.

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  • ICARVISIONS Releases IVMS(web) Platform for AI, Big Data

    ICARVISIONS Releases IVMS(web) Platform for AI, Big Data

    ICARVISIONS released its IVMS(web) platform for support of AI and big data.

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  • dSPACE Acquires Intempora, Strengthens Autonomous Driving Portfolio

    dSPACE Acquires Intempora, Strengthens Autonomous Driving Portfolio

    dSPACE announced it has acquired Intempora, a real-time development software company. The acquisition supports the strengthening of dSPACE’s autonomous driving product portfolio.

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  • How the SMARC™ Module 2.1 revision responds to the latest IoT- and AI-driven demands on embedded computing solutions

    How the SMARC™ Module 2.1 revision responds to the latest IoT- and AI-driven demands on embedded computing solutions

    Learn more about the new SMARC™ 2.1 specification, new key features and changes. Get a detailed comparison between the SMARC™ 2.0 module and the SMARC™ 2.1 module and find out more about special use..

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  • How Six Companies Are Using AI to Accelerate Automotive Technology

    How Six Companies Are Using AI to Accelerate Automotive Technology

    AI is not only used for path planning and obstacle avoidance, but incorporated in every step of development from modeling how systems will perform on the road to gathering parts for manufacturing.

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  • IoT and the Time-Critical Edge

    IoT and the Time-Critical Edge

    Challenges faced by IoT deployments related to latency, network bandwidth, reliability, and security cannot be addressed by cloud-only models, so the focus of IoT is moving towards the edge.

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  • Applitools Visual AI Reaches One Billion Images Analyzed

    Applitools Visual AI Reaches One Billion Images Analyzed

    Applitools announced its Visual AI technology has surpassed one billion images analyzed since launching commercially and is projected to double year over year.

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  • Embedded Insiders: How to Integrate AI into the Embedded Enterprise

    Embedded Insiders: How to Integrate AI into the Embedded Enterprise

    AI is all the rage these days, and poised to disrupt nearly every industry. In fact it already is. A recent IDC survey reported that the majority of companies are failing in their AI initiatives.

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  • MYIR Introduces Zynq UltraScale+ MPSoC Based FZ3 Card for Deep Learning

    MYIR Introduces Zynq UltraScale+ MPSoC Based FZ3 Card for Deep Learning

    MYIR provides FZ3 Kit as a development kit, it contains the FZ3 Card and necessary accessories including one 12V/2A power adaptor, one 16GB TF card, one mini USB cable, and one mini DP to HDMI cables

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  • eMCOS POSIX Commercial OS Supports Kalray's Coolidge Processor for Mixed-Criticality Systems

    eMCOS POSIX Commercial OS Supports Kalray's Coolidge Processor for Mixed-Criticality Systems

    Optimized development environment and tools are available for creating advanced applications with multiple POSIX processes targeting the MPPA Coolidge.

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  • How IoT is Transforming the Healthcare Industry

    How IoT is Transforming the Healthcare Industry

    The adoption of the IoT has revolutionized the way the healthcare industry works now, as it has great potential and multiple applications, from remote monitoring to medical device integration.

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  • A Step by Step Guide to Voice Enabled Device Testing

    A Step by Step Guide to Voice Enabled Device Testing

    It has been said that devices cannot do everything that humans can do. However, the devices that we use in our daily lives have been evolving over the last couple of decades.

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  • Tuya Joins Zigbee Alliance Board of Directors

    The Zigbee Alliance announced that global-leading IoT platform provider Tuya has joined its Board of Directors.

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  • Eta Compute Introduces an Integrated, Ultra Low Power AI Sensor Board for Machine Learning at The Edge

    Eta Compute Introduces an Integrated, Ultra Low Power AI Sensor Board for Machine Learning at The Edge

    With Eta Compute’s low power ECM3532 AI Sensor Board, most functions needed, including data acquisition, are integrated onto a single board that functions for months on a single battery cell.

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