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Bootstrapping the Future: From Resource Estimation to Quantum Advantage

computer.org Laurel Tweed 2025-11-12 02:00:37

Quantum Algorithms That Work A central problem in quantum computing is the development of domain-specific algorithms that enable real scientific and economic contributions. Quantum algorithms in numerous domains such as finance, chemistry, physics, and biology are being developed with the intention of achieving quantum advantage, i.e. to derive deeper insights relative to established algorithms on classical machines. But these algorithms are typically evaluated through simulation and/or testing

Topics: algorithms arxiv https org quantum
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Roundtables: Why It’s So Hard to Make Welfare AI Fair

technologyreview.com Mit Technology Review 2025-12-21 10:53:40

Amsterdam tried using algorithms to fairly assess welfare applicants, but bias still crept in. Why did Amsterdam fail? And more important, can this ever be done right? Hear from MIT Technology Review editor Amanda Silverman, investigative reporter Eileen Guo, and Lighthouse Reports investigative reporter Gabriel Geiger as they explore if algorithms can ever be fair. Speakers: Eileen Guo, features & investigations reporter, Amanda Silverman, features & investigations editor, and Gabriel Geiger

Topics: algorithms amanda gabriel investigative reporter
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Delaunay Mesh Generation (2012)

news.ycombinator.com Unknown 2026-01-11 04:01:26

Delaunay Mesh Generation Our book is a thorough guide to Delaunay refinement algorithms that are mathematically guaranteed to generate meshes with high quality, including triangular meshes in the plane, tetrahedral volume meshes, and triangular surface meshes embedded in three dimensions. It is also the most complete guide available to Delaunay triangulations and algorithms for constructing them. We have designed the book for two audiences: researchers, especially graduate students, and engin

Topics: algorithms constrained delaunay refinement triangulations
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A New Standard for Ethical Hiring: Combining Human Judgement with AI Fairness Tools

computer.org Enrique Quezada 2026-03-15 00:42:43

The ability of AI-powered systems to make decisions based on complicated sets of data has introduced speed and efficiency to hiring, the loan approval process, fraud detection, and more. But has it enhanced accuracy? Many would argue no, especially those impacted by biased hiring algorithms, including employees and employers. One of the most elusive conundrums is how to fight age-based bias by AI-powered hiring systems. For the 2024 IEEE International Conference on Big Data and Smart Computing

Topics: ai algorithms bias fairness hiring
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SIMD-friendly algorithms for substring searching (2016)

news.ycombinator.com Wojciech Muła 2026-03-17 08:31:18

Introduction Popular programming languages provide methods or functions which locate a substring in a given string. In C it is the function strstr , the C++ class std::string has the method find , Python's string has methods pos and index , and so on, so forth. All these APIs were designed for one-shot searches. During past decades several algorithms to solve this problem were designed, an excellent page by Christian Charras and Thierry Lecroq lists most of them (if not all). Basically these al

Topics: algorithms assumption based designed string
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SIMD-friendly algorithms for substring searching (2018)

news.ycombinator.com Wojciech Muła 2026-03-17 23:31:18

Introduction Popular programming languages provide methods or functions which locate a substring in a given string. In C it is the function strstr , the C++ class std::string has the method find , Python's string has methods pos and index , and so on, so forth. All these APIs were designed for one-shot searches. During past decades several algorithms to solve this problem were designed, an excellent page by Christian Charras and Thierry Lecroq lists most of them (if not all). Basically these al

Topics: algorithms assumption based designed string
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SIMD-friendly algorithms for substring searching

news.ycombinator.com Wojciech Muła 2026-03-18 09:31:18

Introduction Popular programming languages provide methods or functions which locate a substring in a given string. In C it is the function strstr , the C++ class std::string has the method find , Python's string has methods pos and index , and so on, so forth. All these APIs were designed for one-shot searches. During past decades several algorithms to solve this problem were designed, an excellent page by Christian Charras and Thierry Lecroq lists most of them (if not all). Basically these al

Topics: algorithms assumption based designed string
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