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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 Edge computing represents a foundational paradigm shift in digital infrastructure, moving computation and data storage from centralized cloud data centers to the logical extremes of a network, closer Read More …
The RISC-V Paradigm: An Open Architecture for the Silicon Age The semiconductor industry is undergoing a foundational transformation, moving away from a decades-long reliance on proprietary, closed-ecosystem processor architectures toward Read More …
I. The New Foundation for the Connected Home: An Introduction to Matter Defining the Standard: From Project CHIP to a Unified Application Layer The smart home, for much of its Read More …
Executive Summary Edge computer vision represents a fundamental paradigm shift in the application of visual intelligence. By processing image and video data directly on local, or “edge,” devices, this technology Read More …
Introduction Artificial Intelligence (AI) has emerged as a transformative force that is revolutionizing numerous aspects of our lives. From smartphones to virtual assistants, AI-powered technology has become increasingly integrated into Read More …