Update index.md

Author: fhyuancn

docs/index.md

@@ -23,7 +23,6 @@ public_mode_toggle: true
 
 ![Day 2 morning whiteboard or notes photo](assets/whiteboards/day2_morning_whiteboard1.jpg)
 
-![notes photo](assets/Picture1.png)
 
 In what ways can AI tools and physics-based models can complement each other to mitigate their weaknesses?
 
@@ -46,12 +45,8 @@ This project presents a physics-based signal correction framework for removing
 
 ![Team hero image](assets/hero/hero.png)
 
-![Team hero image](assets/Picture3.png)
 ![Team hero image](assets/hero/hero2.png)
 
-![Team hero image](assets/Picture2.png)
-![Team hero image](assets/fig2.png)
-
 
 
 !!! note "How to replace the image above"
@@ -84,7 +79,6 @@ This project presents a physics-based signal correction framework for removing
 | Mo Ahmadi| Purdue Univeristy | mahmadig@purdue.edu|mahmadig |
 | Abdulganiyu Jimoh| Utah State Univeristy | abdulganiyu.jimoh@usu.edu|Jimoh1993|
 
-![notes photo](assets/team_photo.jpg)
 
 ## Team Norms and Decision Making { #team-norms-and-decision-making }
 
@@ -135,7 +129,7 @@ Long term:
 - Papers
 - Tools
 
-![Day 2 morning whiteboard or notes photo](assets/whiteboards/day2_morning_whiteboard1.jpg)
+
 ![Day 2 morning whiteboard or notes photo](assets/whiteboards/day2_morning_whiteboard2.jpg)
 
 *Morning whiteboard or notes showing the question, hypotheses, and context we used to start Day 2.*
@@ -149,8 +143,6 @@ In what ways can AI tools and physics-based models can complement each other to
 
 What would count as progress: 
 
-![notes photo](assets/Picture1.png)
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 It can be accomplished in two ways. First, incorporating physics into AI models can lead to more realistic predictions and reduce the computational cost of physics-based models. Alternatively, AI tools can be employed to explore and address potential weaknesses in physics-based models. For instance, we can augment the input data of physics-based models to meet their data requirements. Additionally, if we encounter systematic bias in our data due to human or machine error during data collection, AI can help address these issues. Furthermore, simulations generated by physics-based models are often difficult to interpret and require rigorous data analysis to analyze, visualize, or extract useful information from them. AI tools can assist in interpreting these physics-based simulations and supporting the data analysis process.
 
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     Add 2-4 promising data sources (links +1-line notes)    
 
-![Exploration figure](assets/explorations/explore_data_plot.png)
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 *Snapshot showing initial data patterns.*
 
@@ -192,14 +184,6 @@ Promising data sources:
     Add 2-4 methods/technologies we're testing (stats, models, viz).
 
 
-![Team hero image](assets/hero/hero.png)
-
-![Team hero image](assets/Picture3.png)
-![Team hero image](assets/hero/hero2.png)
-
-![Team hero image](assets/Picture2.png)
-![Team hero image](assets/fig2.png)
-
 [View shared code](https://github.com/CU-ESIIL/Summit_group_2026_14/tree/main/code){ .md-button }
 
 Methods/technologies we are testing:
@@ -218,7 +202,7 @@ Methods/technologies we are testing:
 
 ### Visuals
 
-![Method or workflow visual](assets/figures/figure1.png)
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 ### Next Steps
 
@@ -234,7 +218,8 @@ Long term:
 
 ## Team Photo { #team-photo }
 
-![Team photo](assets/team/team_photo.jpg)
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+![notes photo](assets/team_photo.jpg)
 
 *Team members and collaborators who contributed to this project.*
 
@@ -254,7 +239,7 @@ Headline 3 — implication for practice or policy
 
 ## Visuals that tell a story 📣 { #story-visuals .oasis-report-out-section .oasis-report-out-day3 }
 
-![Story visual](assets/figures/main_result.png)
+
 
 *Visual 1: the main pattern or output we want people to remember.*