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blog.computationalcomplexity.org | ||
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cacm.acm.org
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| | | | | [AI summary] The article discusses the ongoing evolution of the P vs NP problem in computational complexity theory, emphasizing its profound implications for algorithm design, cryptography, and artificial intelligence. It highlights how advances in machine learning and quantum computing are reshaping our understanding of computational limits, while also cautioning against the potential misuse of algorithms in areas like algorithmic bias and surveillance. The piece concludes by reflecting on the philosophical and practical significance of P vs NP, suggesting that its resolution could redefine the boundaries of what is computationally feasible. | |
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howonlee.github.io
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| | | | | The amount paid in interest in the often-taught, rarely-used simple interest regime is $P(1 + rt)$, where $P$ is principal, $r$ is the interest rate and $t$ ... | |
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rjlipton.com
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| | | | | On the complexity of counting exactly and approximately Larry Stockmeyer was one of the great theorists, who worked on areas as diverse as lower bounds on logical theories, computational complexity, distributed computing, algorithms, and many other areas. He passed away in 2004, and is terribly missed by all who knew him. See Lance Fortnow's wonderful... | |
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www.depthfirstlearning.com
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| | | [AI summary] The user has provided a detailed and complex set of questions and reading materials related to normalizing flows, variational inference, and generative models. The content covers topics such as the use of normalizing flows to enhance variational posteriors, the inference gap, and the implementation of models like NICE and RealNVP. The user is likely seeking guidance on how to approach these questions, possibly for academic or research purposes. | ||
