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New book explores AI at the deep edge and embedded machine learning

By PulseAugur Editorial · [1 sources] ·

David Such has released a new book titled "Embedded AI: Intelligence at the Deep Edge." The book delves into the intersection of classical signal processing, heuristics, and edge machine learning. It also covers topics such as IMU processing, sensor fusion, and selecting appropriate machine learning models for embedded processors. AI

IMPACT This book offers insights into implementing machine learning on edge devices, relevant for developers working with embedded systems.

RANK_REASON The cluster discusses a new book on AI, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New book explores AI at the deep edge and embedded machine learning

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8 / 100
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The cluster discusses a new book on AI, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    David Such joins us to discuss his new book, Embedded AI: Intelligence at the Deep Edge. We explore the boundary between classical signal processing, heuristics

    David Such joins us to discuss his new book, Embedded AI: Intelligence at the Deep Edge. We explore the boundary between classical signal processing, heuristics, and edge machine learning; IMU processing and sensor fusion; and how to determine what sort of ML fits on your process…

    LINKS embedded.fm/…/536

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