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Part I: The Paradigm of Edge Machine Learning The deployment of artificial intelligence has historically been synonymous with vast, powerful cloud data centers. This centralized model, where data is collected Read More …
The Paradigm Shift to the Edge The proliferation of connected devices and the exponential growth of data are fundamentally reshaping the architecture of artificial intelligence. The traditional, cloud-centric model, where Read More …
Executive Summary The proliferation of the Internet of Things (IoT) and the demand for real-time, privacy-preserving artificial intelligence (AI) have catalyzed a paradigm shift from cloud-centric computation to on-device AI, Read More …