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windowsontheory.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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scottaaronson.blog
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| | | | | Way back in 2005, I posed Ten Semi-Grand Challenges for Quantum Computing Theory, on at least half of which I'd say there's been dramatic progress in the 16 years since (most of the challenges were open-ended, so that it's unclear when to count them as "solved"). I posed more open quantum complexity problems in 2010,... | |
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blog.computationalcomplexity.org
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| | | | | As someone who has literally written a book on the topic, I have had many people over the years send me their attempts at P v NP proofs. On ... | |
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poissonisfish.com
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| | | Someof the most fundamental functions in R, in my opinion, are those that deal with probability distributions. Whenever you compute a P-value you relyon a probability distribution, and there are many types out there. In this exercise I will cover four: Bernoulli, Binomial, Poisson, and Normal distributions. Let me begin with some theory first: Bernoulli... | ||
