Read the full article at: https://knowablemagazine.org/content/article/physical-world/2024/string-theory-is-not-dead

URS students in Shiu’s group presented at the Undergraduate Research Symposium on April 25, 2024:

Manu Korupolu: “Topological Data Analysis and its Applications to Physics”

Rachelle Lang: “Towards Quantiative Topological Statements about Neural Networks”

Keiji Toriumi: “Using Topological Neural Networks for Cosmology”

Puxin Lin presented his work on black holes at the UW Physics Student Research Colloquium 2024:

Congratulations to Jacky Yip for winning the 2023 Alan & Arline Paul Award!

The list of 2023 Award Winners can be found here: https://www.physics.wisc.edu/department/awards/2022-23-scholarship-and-awards/

Our paper on “Learning from Topology: Cosmological Parameter Estimation from the Large-scale Structure” was accepted after peer-review at the 1st workshop on Synergy of Scientific and Machine Learning Modeling, ICML, Honolulu, Hawaii, USA. July, 2023:

https://syns-ml.github.io/2023/contributions/

The arXiv version can be found here: https://arxiv.org/abs/2308.02636

This post is modified from one originally published by the US Department of Energy The U.S. Department of Energy (DOE) announced $4.3 million in funding for 16 projects in artificial intelligence (AI) research for high energy physics (HEP), …

Read the full article at: https://www.physics.wisc.edu/2022/12/01/gary-shiu-awarded-doe-funding-to-apply-string-theory-lessons-to-ai/

Gary’s profile is up on Faces of Data Science @UW: https://datascience.wisc.edu/staff/shiu-gary/

Read the full article at: https://datascience.wisc.edu/staff/shiu-gary/

Gregory Loges has successfully defended his PhD thesis titled “Black Holes and Branes in the Landscape”. Congratulations, Dr. Loges! He will be joining the KEK Theory Center https://www2.kek.jp/theory-center/theory_e/research-group/ in Japan as a postdoc in the coming September.

Paper of Gregory with Gary on “Breeding Realistic D-brane Models” submitted: https://arxiv.org/abs/2112.08391.

Gary presented this work at the String Data 2021 Conference: https://indico.cern.ch/event/1065458/. YouTube video: https://www.youtube.com/watch?v=p9GX4UwKZlE.

Our paper on “Probing the Structure of String Theory Vacua with Genetic Algorithms and Reinforcement Learning”:

https://arxiv.org/abs/2111.11466

was accepted by NeurIPS 2021 Machine Learning and the Physical Sciences

https://ml4physicalsciences.github.io/2021/