Merge pull request #76 from yu71ng/addteams

Update description

Author: yu71ng

content/crosscutting.md

@@ -51,16 +51,17 @@ NVIDIA has been exploring the use of AI to improve the workflows associated with
 
 In this cross-cutting activity we will evaluate the capabilities and limitations of the emulator, and its ability to learn differences among km-scale models.
 
-**Note** Participants are asked to register for the team as early as possible so the varied skill levels can be evaluated and approrpiate activities defined.
+**Note** Participants are asked to register for the team as early as possible so the varied skill levels can be evaluated and appropriate activities defined.
 
 **Coordination**: Karthik Kashinath (kkashinath@nvidia.com), Noah Brenowitz (nbrenowitz@nvidia.com)
 
 #### Sketch of initial activities:
+
 * 45-minute technical talk on generative diffusion model-based emulation of km-scale climate data (day 1)
 * 60-minute hands-on tutorial session on training and inferencing diffusion models (day 1)
-* AI inference of model trained on an earlier version of ICON and ERA5 to study limits of climate faithfulness
+* AI inference of model trained on an earlier version of ICON and ERA5 to study limits of climate faithfulness + visualization
 * Extend AI training to additional models hosted on NERSC mode
-* Scale out the AI traning to other hackathon nodes and models
+* Scale out the AI training to other hackathon nodes and models
 
 ---
 ### Feature tracking with the grassroots ([hk25-Tracking](https://github.com/digital-earths-global-hackathon/hk25-teams/tree/main/hk25-Tracking))