Add news to index page

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/). 
 
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