Hardware acceleration enhances machine learning in embedded systems, indicating a shift toward AI integration at the edge.
In recent years, hardware acceleration for machine learning has made significant strides, evolving from general-purpose solutions to increasingly specialized heterogeneous platforms designed to integrate artificial intelligence directly into embedded systems and edge architectures [...]
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Spanò et al. (2026) studied this question.
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