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    AIMCUProcessorSoftware
    Tsetlin Machines vs Neural Networks: A Logic-Based Alternative for Edge AI

    When most engineers think about AI, neural networks come to mind. These powerful models dominate machine learning, but they come with drawbacks: high compute demand, large memory requirements, and an opaque “black-box” decision process. For engineers working with MCUs and embedded edge devices, these limitations can make deployment nearly impossible. That’s where Tsetlin Machines come in. Literal Labs, a company […]

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    A Pocket-Sized USB Lab for Embedded Engineers (Giveaway)
    AIFPGAProcessor
    Breaking the Data Bottleneck with NeuraScale | Baya Systems
    ConnectivityIoTSecuritySoftware
    Why The Things Conference and Thistle Put IoT Security First
    Are Solid-State Speakers the Future of Audio?

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