Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...
In a 2023 TED Talk watched by millions of people, the American educator and entrepreneur Sal Khan declared that AI was about ...
Abstract: Despite advances in general processing hardware, optimization of NP-hard problems remains a time and compute-intensive task, with the end of Dennard Scaling leading to the increased ...
In a breakthrough for high-performance and energy-efficient computing, researchers have demonstrated novel spintronics-based ...
Abstract: We present frequent pattern-based search (FPBS) that combines data mining and optimization. FPBS is a general-purpose method that unifies data mining and optimization within the ...
A tool for computing optimal paper-reviewer matches for peer review, subject to constraints and affinity scores. Comes with a simple web server designed for integration with the OpenReview server ...
The propositional satisfiability problem (SAT) was the first to be shown NP-complete by Cook and Levin. SAT remained the embodiment of theoretical worst-case hardness. However, in stark contrast to ...
On a crisp fall New England day during my junior year of college, I was walking past a subway entrance when a math problem caught my eye. A man was standing near a few brainteasers he had scribbled on ...
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