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Conference: Mathematics and Machine Learning 2023

Conference: Mathematics and Machine Learning 2023
会议:数学与机器学习 2023
批准号:
2331298
负责人:
Sergei Gukov
金额:
$4.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-09-01 至 2025-02-28

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中文摘要
翻译
“数学与机器学习2023”会议将于2023年12月10日至13日在加利福尼亚州帕萨迪纳加州理工学院举行,将汇集不同群体的数学家和数据科学家,讨论这两个学科的接口问题。随着人工智能(AI)在日常生活以及最近在数学研究中的作用越来越大,召开这一主题的定期年度会议的时机已经成熟。就像万维网的发展始于科学界一样,机器学习的数学方法可以刺激更好的人工智能算法和架构的发展,其未来的应用可以远远超出“纯”科学。与此同时,机器学习的先进工具开始在数学研究中发挥重要作用,有时帮助专家数学家在一些最困难的数学挑战上取得进展。尽管两个社区之间的互动看起来很自然,但机会非常有限,“数学与机器学习2023”会议的主要目标之一就是填补这一空白。数学和机器学习(ML)之间的相互作用可以大致分为三个广泛的领域:使用ML解决非常具有挑战性的数学前沿问题,ML的数学理论,以及ML在自动证明助手中的使用。所有这些领域都将在“数学和机器学习2023”会议上得到代表。该奖项为演讲者和初级参与者提供支持,优先考虑代表性不足的群体,博士生和没有其他资金来源的演讲者/参与者。进一步的信息将在会议网站上提供:https://mathml2023.caltech.edu/This该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,认为值得支持。
英文摘要
The conference "Mathematics and Machine Learning 2023" to be held at Caltech, Pasadena, CA on December 10-13, 2023 will bring together diverse groups of mathematicians and data scientists to discuss problems at the interface of these two disciplines. With the increasing role of artificial intelligence (AI) in everyday life and, more recently, in mathematical research, the time is ripe to start a regular annual meeting on this subject. Just like development of the World Wide Web started in the scientific community, the mathematical approach to machine learning can stimulate development of better AI algorithms and architecture whose future applications can extend far beyond 'pure' sciences. At the same time, advanced tools in machine learning start playing a major role in mathematical research, sometimes assisting expert mathematicians in making progress with some of the most difficult mathematical challenges. Although the interaction between the two communities seems natural, the opportunities are extremely limited and one of the main goals of the conference "Mathematics and Machine Learning 2023" is to fill this void.The interactions between mathematics and machine learning (ML) can be roughly organized into three broad areas: the use of ML for very challenging cutting-edge problems in mathematics, the mathematical theory of ML, and the use of ML in automated proof assistants. All of these areas will be represented at the conference "Mathematics and Machine Learning 2023." This award provides support to the speakers and to junior participants, with the priority given to underrepresented groups, Ph.D. students, and speakers/participants with no other sources of funding. Further information will become available on the conference website: https://mathml2023.caltech.edu/This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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会议论文
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