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Edge AI represents a paradigm shift in artificial intelligence, distributing computation and intelligence to edge devices. This groundbreaking approach facilitates real-time decision-making at the source of data generation, offering substantial advantages over traditional cloud-based AI systems. By interpreting data locally, Edge AI reduces latency

Edge AI is rapidly emerging the landscape of artificial intelligence. By deploying AI algorithms directly on edge devices, such as smartphones, sensors, and industrial controls, Edge AI enables immediate processing and decision-making. This decentralized approach offers several advantages, including minimized delays, improved user confidentiality,

In today's fast-paced world, where efficiency is paramount, low-power design has become a crucial aspect of semiconductor development. Leading companies are constantly pushing the boundaries of innovation to deliver devices that consume minimal energy while maintaining high levels of functionality. From smartphones and laptops to Internet of Things

The semiconductor industry continuously evolves, with a growing emphasis on low power design. This is driven by the rising need for energy-efficient devices, particularly in mobile and embedded applications. Several semiconductor companies are at the low power soc forefront of this trend, developing innovative technologies and architectures to mini