Date | Dec 23, 2020 |
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Speaker | 이규환 |

Dept. | University of Connecticut |

Room | 선택 |

Time | 10:00-13:00 |

※ Zoom meeting

ID: 834 5325 6158

Passcode: 662766

In this talk, we will consider whether a machine can be trained to recognize patterns in mathematics. As a case study, some basic invariants in number theory such as the class number of a real quadratic field and the rank of an elliptic curve will be tested through machine-learning tools. We will observe that machine-learning classifiers perform surprisingly well with high accuracy (> 0.97).

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