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Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from various types of data, be it images, audio or text, to ...

We publish the best academic work (that's too often lost to peer reviews & the TA's desk) to the global tech community ...

ABSTRACT: To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space ...

Abstract: Reversible circuit synthesis is critical for quantum computing, but existing methods suffer from high gate counts that increase error susceptibility. This ...

Abstract: The Steiner Forest Problem is a fundamental combinatorial optimization problem in operations research and computer science. Given an undirected graph with non-negative weights for edges and ...

Add a description, image, and links to the greedy-algorithm topic page so that developers can more easily learn about it.