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    Texas Instruments
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    Learning Resources

    Creating Smarter, More Efficient Solutions Through Edge AI

    Sponsored by Texas Instruments: Integrating AI into devices on the edge can be simplified with NPU-enhanced MCUs and having the right tools at your fingertips.
    Alpha and Omega Semiconductor (generated by AI)
    241220_prodmod_alphaomega_ai_pwm_controller
    Power

    PWM Controller Tailored for AI Server and Graphics Cards Based on Blackwell GPUs

    The four-phase PWM controller pairing with Alpha and Omega’s benchmark DrMOS exhibits the best system efficiency for NVIDIA’s Blackwell GPU platforms.
    ID 130409802 © Funtap P | Dreamstime.com
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    EDA

    Production-Grade AI Arrives in EDA for Analog Design and Verification

    Unlocking the future of analog design, AI-driven verification accelerates innovation by breaking through traditional SPICE bottlenecks, ensuring faster, more accurate results....
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    Industry Insights

    How is Artificial Intelligence Affecting Your Job?

    In our salary survey, we posed questions to our readers on the ways artificial intelligence may be impacting their profession.
    ID 321264446 © Studioclever | Dreamstime.com
    Generative AI in the data center
    Nonlinearities

    Could Sagence AI’s Analog Inferencing for GenAI be NVIDIA’s Downfall?

    AI data centers typically require hundreds of megawatts of power, and it continues to rise to the point where most power companies refuse to provide such capacity from the public...

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    Dreasmtime.com
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    TinyML: Machine Learning for Small Platforms

    Machine learning does not have to run on big servers in the cloud. This TechXchange presents articles and videos about TinyML.
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    ROS: Robot Operating System

    ROS is the open-source Robot Operating System.
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    Inside Electronics

    Practical Spiking Neural Networks

    BrainChip’s Steve Brightfield talks about efficient neuromorphic computing via SNNs.
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    Nonlinearities

    So...AI is Worse than a 3rd Grader in Understanding Language Dialects

    Our intrepid, mostly analog editor takes a stab at AI and then tries translating a recent Electronic Design product writeup from Pirate-speak to plain English.
    Neuromorphic NPU Sips Power to Handle ML on the Edge
    Machine Learning

    Neuromorphic NPU Sips Power to Handle Edge Machine-Learning Models

    BrainChip’s Akida Pico neural processing unit, which leverages spiking neural networks, targets low-power IoT and edge-computing devices.
    ThinkStock
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    TechXchange

    Edge Computing and TinyML

    Edge computing often had limited power, and compute resources for machine-learning support needs to fit within these constraints.