From e209ee8695d98788623863d414dfeae0cc40b018 Mon Sep 17 00:00:00 2001 From: Ben Thorne Date: Mon, 2 Oct 2023 12:47:02 -0700 Subject: [PATCH] Add news to index page --- index.qmd | 14 +++++++++++++- 1 file changed, 13 insertions(+), 1 deletion(-) diff --git a/index.qmd b/index.qmd index 7227461..3226624 100644 --- a/index.qmd +++ b/index.qmd @@ -4,7 +4,19 @@ We are building a large-compute-scale AI platform for the hosting of large scien The collaboration includes scientists from Lawrence Berkeley National Laboratory, Université Paris-Saclay, the University of Washington, and ChaLearn, a non-profit that organizes challenges to stimulate research in machine learning. -**Project announcements**: [LBNL](https://cs.lbl.gov/news-media/news/2022/new-fair-universe-project-aims-to-build-supercomputer-scale-ai-benchmarks-for-hep-and-beyond/) • [DoE](https://www.newswise.com/doescience/department-of-energy-announces-6-4-million-for-artificial-intelligence-research-in-high-energy-physics/?article_id=779782) +# News + +## November 27, 2022: Project announcement + +[LBNL](https://cs.lbl.gov/news-media/news/2022/new-fair-universe-project-aims-to-build-supercomputer-scale-ai-benchmarks-for-hep-and-beyond/) • [DoE](https://www.newswise.com/doescience/department-of-energy-announces-6-4-million-for-artificial-intelligence-research-in-high-energy-physics/?article_id=779782) + +## October 2, 2023: First toy challenge + +We have designed and released our first toy challenge [on the Codabench platform](https://www.codabench.org/competitions/1152/). + +## November 29, 2023: Particle Physics challenge trial + +We will be hosting a hackathon at the [Artificial Intelligence and the Uncertainty Challenge in Fundamental Physics](https://indico.cern.ch/event/1067246/) workshop on Wednesday November 29, 2023. Closer to the date we will be posting more information about the challenge problem and datasets, which will be hosted on [Codabench](https://www.codabench.org/).