home.md

@@ -9,12 +9,15 @@ Further Contributors: Mehdi Cherti (MC) (Helmholtz AI HLST, JSC)
 
 #### Initiative Overview
 
-* [Description of available models, codes and datasets](https://gitlab.version.fz-juelich.de/MLDL_FZJ/juhaicu/jsc_public/sharedspace/playground/covid_xray_deeplearning/wiki/-/blob/master/Description.md)
-* For model training and further experiments, **computing budget is available**, on JSC's JUSUF machine (up to 61 nodes with 1x V100 GPU)
+* [Overview - Description of available models, codes and datasets](https://gitlab.version.fz-juelich.de/MLDL_FZJ/juhaicu/jsc_public/sharedspace/playground/covid_xray_deeplearning/wiki/-/blob/master/Description.md)
+* For model training and further experiments, **computing budget is available**,
+  - on JSC's JUSUF machine (up to 61 nodes with 1x V100 GPU)
   - [JUSUF Hardware Specs in detail](https://www.fz-juelich.de/ias/jsc/EN/Expertise/Supercomputers/JUSUF/Configuration/Configuration_node.html)
   - Budget limited until 31.10.2020 for initial project phase
   - Computational time project will be continued after successful initial phase
   - For collaboration and access to computing resources, please contact Jenia Jitsev (j.jitsev@fz-juelich.de), Mehdi Cherti (m.cherti@fz-juelich.de), or Alex Strube (a.strube@fz-juelich.de)
+  - **UPDATE**: 30.10.2020 - COVIDNetX computational time application granted for JUWELS Booster (ca. **3600 GPUs** !)
+    - Grant title: *"Large-Scale Advanced Deep Transfer Learning for Fast, Robust and Affordable COVID-19 X-Ray Diagnostics"*
   - Collaborating partners will also gain access to common code and dataset repository
 * Initiative's aims are:
   - short-term: provide **strong baseline** for pre-training and **transfer learning** for COVID X-Ray diagnostics using large-scale datasets of images from different domains (using both generic datasets like ImageNet and medical imaging datasets like COVIDx - see [Description of available models, codes and datasets](https://gitlab.version.fz-juelich.de/MLDL_FZJ/juhaicu/jsc_public/sharedspace/playground/covid_xray_deeplearning/wiki/-/blob/master/Description.md))