Optimized embedded architectures and techniques for machine learning algorithms for on-chip AI acceleration
In the era of smart and autonomous systems, machine learning is becoming the cornerstone of these systems. Machine learning, a subset of artificial intelligence, is being incorporated into various fields such as medical wearable in healthcare, smart cars in transportation, etc. Since most of these systems are typically realized on embedded devices, many machine learning applications are becoming common on these devices. However, embedded devices have many constraints: stringent area and power, increased speedup, reduced cost, and time-to-market. Furthermore, today’s machine learning techniques ...
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