| Date | 2020-12-23 |
|---|---|
| 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).
