首页> 外文期刊>Robotics & Machine Learning Daily News >Research from School of Electronics Has Provided New Data on Machine Learning (Quantum-Inspired Machine Learning for 6G: Fundamentals, Security, Resource Allocations, Challenges, and FutureResearch Directions)
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Research from School of Electronics Has Provided New Data on Machine Learning (Quantum-Inspired Machine Learning for 6G: Fundamentals, Security, Resource Allocations, Challenges, and FutureResearch Directions)

机译:电子学院的研究提供了有关机器学习的新数据(Quantum-inspired Machine Learning for 6G: Fundamentals, Security, Resource Allocations, Challenges, and FutureResearch Directions)

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摘要

By a News Reporter-Staff News Editor at Robotics Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsreporting from the School of Electronics by NewsRx journalists, research stated, “Quantum computing is envisaged as an evolving paradigm for solving computationally complex optimization problems with alarge-number factorization and exhaustive search.”Funders for this research include Engineering And Physical Sciences Research Council; Royal Academyof Engineering.
机译:作者:机器人与机器学习日报新闻的新闻记者 - 新闻编辑 每日新闻 - 有关人工智能的最新数据在一份新报告中呈现。根据 NewsRx 记者对电子学院的新闻报道,研究表明,“量子计算被设想为一种不断发展的范式,用于通过大数分解和穷举搜索来解决计算复杂的优化问题。这项研究的资助者包括工程和物理科学研究委员会;英国皇家工程院。

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