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www.wisdom.weizmann.ac.il | ||
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ptreview.sublinear.info
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| | | | | [AI summary] The provided text is a detailed summary of various research papers and articles published in July 2022, covering topics such as property testing, quantum algorithms, and computational complexity. The summary highlights key contributions and results from each paper, including improvements in query complexity, new algorithms for edge counting and sampling, and breakthroughs in locally decodable codes. The text is structured as a report or blog post summarizing these recent developments in theoretical computer science and related fields. | |
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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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rjlipton.com
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| | | | | Santosh Vempala is the chair of this FOCS 2024 conference. Here is the schedule of the talks. And in our next section are the accepted papers with links so you can see the results now. His committee is: Daniel Alabi, Columbia Nima Anari, Stanford Maryam Aliakbarpour, Rice Xiaotie Deng, Peking University Jelena Diakonikolas, Wisconsin Alina... | |
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dennybritz.com
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| | | Recurrent Neural Networks (RNNs) are popular models that have shown great promise in manyNLP tasks. | ||
