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title: "TinyML: Embedded AI Principles, Algorithms, and Applications"
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title: "Embedded AI: Principles, Algorithms, and Applications"
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repo-url: https://github.com/harvard-edge/cs249r_book.git
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# Preface {.unnumbered}
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In "Embedded AI: Principles, Algorithms, and Applications", we will embark on a critical exploration of the rapidly evolving field of artificial intelligence in the context of embedded systems, originally nurtured from the foundational course, tinyML from [CS249r](https://sites.google.com/g.harvard.edu/cs249-tinyml-2023).
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In "Embedded AI: Principles, Algorithms, and Applications", we will embark on a critical exploration of the rapidly evolving field of artificial intelligence in the context of embedded systems, originally nurtured from the foundational course, tinyML from CS249r.
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The goal of this book is to bring about a collaborative endeavor with insights and contributions from students, practitioners and the wider community, blossoming into a comprehensive guide that delves into the principles governing embedded AI and its myriad applications.
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