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As AI models continue to grow in size and complexity, memory subsystems are emerging as a fundamental bottleneck in modern AI accelerators. The efficiency of future NPU-based systems will increasingly depend on how data is stored,
AI-driven data analysis is essential in modern technical roles, to turn large amounts of raw data (from simulations or measurements) into actionable insights. In this internship, activities begin with collecting and preparing data to ensure quality
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