The shift of Artificial Intelligence from the cloud to the edge is being driven by more powerful embedded processors and efficient foundation models. This is integrating intelligence directly into ...
Abstract: The proliferation of tinyML models in embedded devices demands not only resource-efficient execution but also latency-optimized inference for real-time applications, enabling latency as a ...
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