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演讲摘要:Algorithms have been inspired by nature and human life and have been a part of human technology ever since the stone stage. As the computers have been widely used for solving everyday human problems, algorithms are fast-evolving and it becomes naturally to think algorithmically about the human and nature world. In this talk, I would like to provide a humble and immature view of human and social nature in algorithms. In particular, I would like to bridge the connections between the fundamental principle and properties of these algorithms and the nature in Chinese culture, such as I-ching and Daoism, which conceive the natural world as a self-generating, complex arrangement of elements continuously changing and interacting. For example, the balance principle in I-Ching is frequently observed in algorithm design, such as the explore/exploit tradeoff for finding the balance between trying new things and enjoying the favorites and the balance between recall and precision.
讲者简介:熊辉,现为香港科学技术大学(广州)人工智能学域主任,讲座教授(Chair Professor)。从事数据挖掘与人工智能方面的科研工作,在Nature Communications、TKDE、TOIS、KDD等国际顶级期刊和会议上发表论文300余篇。曾担任百度研究院副院长并主管5个实验室。曾获AAAS Fellow、IEEE Fellow、ACM杰出科学家、中国教育部长江讲座教授、中国国家基金委海外杰青B类(海外及港澳学者合作研究基金)、哈佛商业评论2018年“拉姆.查兰管理实践奖”-全场大奖、2017 IEEE ICDM Outstanding Service Award、ICDM-2011最佳研究论文奖、和AAAI-2021最佳论文奖。