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How AI Technology Tackles Embedded System Memory Challenges
By Embedded Advisor | Monday, January 27, 2020
AI technology enables embedded systems to access real-time data while eliminating the need for external memory to deliver high computing performance.
FREMONT, CA: Artificial Intelligence (AI) promises the world with brilliant tech-solutions, and embedded system developers realize that implementing these solutions can bring in features like image analysis, predictive decision-making, and speech recognition. In the rapidly growing world of electronic devices and gadgets, AI-based embedded systems help the manufacturers meet customer demands for high performing computation. Massive storage capacities achieve the primary need for the advanced estimate in MCUs.
AI-based embedded systems offer features like low-power memory, which enables applications in resource-constrained conditions on the network edge. Today, smart appliances like automated lighting, air or temperature controllers, intelligent speakers, and more such embedded devices have become essential for both domestic and corporate sectors. Deploying AI technology into the embedded systems offers not only excellent access-control features but also high security by instantly identifying authorized users.
Solution developers continuously put massive efforts to expand the size of memory required for high-performance computing applications. AI enables online resources to the embedded systems that push processing steps to the cloud, making the results instantaneous and data-driven. The flexible feature to use data from numerous online resources increases computational performance while eliminating the need for external memory drives and reducing the devices’ total power consumption.
In recent years, embedded system developers have invested a massive amount in exploring advanced memory solutions. Such solutions support high-throughput, low-power external memory devices, enabling advanced computations and intelligently fetching data. There are a multitude of solutions available in the market, offering effective methods for the expansion of memory, and delivering high computation performances for future electronic devices and gadgets.
