Could computers ever learn more like humans do, without relying on artificial intelligence (AI) systems that must undergo ...
Abstract: This research introduces the Semi-Automated Feature Engineering framework, an approach to addressing the complexity of feature engineering in machine learning. The framework addresses an ...
Abstract: Digital-based compute-in-memory macros (DCIM) and digital accelerators that leverage lookup tables (LUT) [1, 2, 3] have demonstrated remarkable advantages in achieving high energy efficiency ...
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