COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |

University of Cambridge > Talks.cam > Algebraic Geometry Seminar > Machine learning detects terminal singularities

## Machine learning detects terminal singularitiesAdd to your list(s) Download to your calendar using vCal - Sara Veneziale, Imperial College London
- Wednesday 14 February 2024, 14:15-15:15
- CMS MR13.
If you have a question about this talk, please contact Holly Krieger. In this talk, I will describe recent work in the application of machine learning to explore questions in algebraic geometry, specifically in the context of the study of Q-Fano varieties. These are Q-factorial terminal Fano varieties, and they are the key players in the Minimal Model Program. In this work, we ask and answer if machine learning can determine if a toric Fano variety has terminal singularities. We build a high-accuracy neural network that detects this, which has two consequences. Firstly, it inspires the formulation and proof of a new global, combinatorial criterion to determine if a toric variety of Picard rank two has terminal singularities. Secondly, the machine learning model is used directly to give the first sketch of the landscape of Q-Fano varieties in dimension eight. This is joint work with Tom Coates and Al Kasprzyk. This talk is part of the Algebraic Geometry Seminar series. ## This talk is included in these lists:- Algebraic Geometry Seminar
- All CMS events
- All Talks (aka the CURE list)
- CMS Events
- CMS MR13
- DPMMS Lists
- DPMMS Pure Maths Seminar
- DPMMS info aggregator
- DPMMS lists
- Hanchen DaDaDash
- Interested Talks
- School of Physical Sciences
- bld31
Note that ex-directory lists are not shown. |
## Other listsZoology Postdoc Summer Seminar Series One Day Meeting - Seventh Annual Symposium of the Cambridge Computational Biology Institute Viss## Other talksInfinite monochromatic exponential patterns Curve Fitting, Errors and Analysis of Binding Data Whose problem? Gendering infertility in medieval thought, c.1150–1350 CCLS 2024: No 1.5C without climate Intervention? Statistics Clinic Lent 2024 IV The broad-spectrum species: Plant resource use and processing as deep time adaptations |