Getting ready for major v0.3 release

_quarto.yml

@@ -9,7 +9,7 @@ website:
   announcement: 
     icon: star-half
     dismissable: false
-    content: 🌟 Help Us Reach 1,000 GitHub Stars! 🌟 For every 25 stars, Arduino and SEEED will donate a NiclaVision or XIAO ESP32S3 for AI education. <a href="https://github.com/harvard-edge/cs249r_book">Click here to ⭐</a>
+    content: ⭐ <b>We Hit 1,000 GitHub Stars</b> 🎉 Thanks to you, Arduino and SEEED donated AI hardware kits for education! <br> 🎓 The [EDGE AI Foundation](https://www.edgeaifoundation.org/) is now matching scholarship funds for every new GitHub ⭐ (up to 10,000 stars). <a href="https://github.com/harvard-edge/cs249r_book">Click here to support!</a> 🙏 </br> 🚀 <b>Our mission. 1 ⭐ == 1 👩‍🎓 Learner</b>. Let's make every star a symbol of engagement and support to make cutting-edge education globally accessible.
     type: info
     position: below-navbar
 
@@ -75,6 +75,22 @@ book:
     inference optimization, and benchmarking methodologies. The book also
     explores crucial systems considerations in areas like reliability,
     privacy, responsible AI, and solution validation. Enjoy reading it!
+
+    ---
+
+    🎙 Listen to the **AI Podcast**, 
+    created using Google's Notebook LM and inspired by insights drawn from our 
+    [IEEE education viewpoint paper](https://web.eng.fiu.edu/gaquan/Papers/ESWEEK24Papers/CPS-Proceedings/pdfs/CODES-ISSS/563900a043/563900a043.pdf).
+    This podcast provides an accessible overview of what this book is all about. 
+
+    &nbsp;
+    <audio controls>
+    <source src="notebooklm_podcast_mlsysbookai.mp3" type="audio/mpeg">
+    </audio>
+
+    _Acknowledgment:_ Special thanks to [Marco Zennaro](https://www.ictp.it/member/marco-zennaro), one of our early community contributors who helped us with the [AI for Good](./contents/core/ai_for_good/ai_for_good.qmd) chapter, for inspiring the creation of this podcast. Thank you, Marco!
+
+    ----
 
   repo-url: https://github.com/harvard-edge/cs249r_book
   repo-branch: dev
@@ -90,54 +106,37 @@ book:
 
   chapters:
     - text: "---"
-    - part: FRONT MATTER
-      chapters:
-      - index.qmd
-      - contents/dedication.qmd
-      - contents/acknowledgements/acknowledgements.qmd
-      - contents/contributors.qmd
-      - contents/copyright.qmd
-      - contents/about.qmd
+    - index.qmd
+    - contents/copyright.qmd
+    - contents/dedication.qmd
+    - contents/core/acknowledgements/acknowledgements.qmd
+    - contents/contributors.qmd
+    - contents/about.qmd
     - text: "---"
-    - part: MAIN
-    - part: Fundamentals
-      chapters:
-      - contents/introduction/introduction.qmd
-      - contents/ml_systems/ml_systems.qmd
-      - contents/dl_primer/dl_primer.qmd
-    - part: Workflow
-      chapters:
-      - contents/workflow/workflow.qmd
-      - contents/data_engineering/data_engineering.qmd
-      - contents/frameworks/frameworks.qmd
-    - part: Training
-      chapters:
-      - contents/training/training.qmd
-      - contents/efficient_ai/efficient_ai.qmd
-      - contents/optimizations/optimizations.qmd
-      - contents/hw_acceleration/hw_acceleration.qmd
-    - part: Deployment
-      chapters:
-      - contents/benchmarking/benchmarking.qmd
-      - contents/ondevice_learning/ondevice_learning.qmd
-      - contents/ops/ops.qmd
-    - part: Advanced Topics
-      chapters:
-      - contents/privacy_security/privacy_security.qmd
-      - contents/responsible_ai/responsible_ai.qmd
-      - contents/sustainable_ai/sustainable_ai.qmd
-      - contents/robust_ai/robust_ai.qmd
-      - contents/generative_ai/generative_ai.qmd
-    - part: Social Impact
-      chapters:
-      - contents/ai_for_good/ai_for_good.qmd
-    - part: Closing
-      chapters:
-      - contents/conclusion/conclusion.qmd
+    - contents/core/introduction/introduction.qmd
+    - contents/core/ml_systems/ml_systems.qmd
+    - contents/core/dl_primer/dl_primer.qmd
+    - contents/core/workflow/workflow.qmd
+    - contents/core/data_engineering/data_engineering.qmd
+    - contents/core/frameworks/frameworks.qmd
+    - contents/core/training/training.qmd
+    - contents/core/efficient_ai/efficient_ai.qmd
+    - contents/core/optimizations/optimizations.qmd
+    - contents/core/hw_acceleration/hw_acceleration.qmd
+    - contents/core/benchmarking/benchmarking.qmd
+    - contents/core/ondevice_learning/ondevice_learning.qmd
+    - contents/core/ops/ops.qmd
+    - contents/core/privacy_security/privacy_security.qmd
+    - contents/core/responsible_ai/responsible_ai.qmd
+    - contents/core/sustainable_ai/sustainable_ai.qmd
+    - contents/core/robust_ai/robust_ai.qmd
+    - contents/core/generative_ai/generative_ai.qmd
+    - contents/core/ai_for_good/ai_for_good.qmd
+    - contents/core/conclusion/conclusion.qmd
     - text: "---"  
-    - part: LABS
+    - part: contents/labs/labs.qmd
       chapters:
-      - contents/labs/labs.qmd
+      - contents/labs/overview.qmd
       - contents/labs/getting_started.qmd
     - part: contents/labs/arduino/nicla_vision/nicla_vision.qmd
       chapters:
@@ -167,37 +166,29 @@ book:
     - part: REFERENCES
       chapters: 
         - references.qmd
-    - text: "---"  
-  appendices:
-      - contents/tools.qmd
-      - contents/zoo_datasets.qmd
-      - contents/zoo_models.qmd
-      - contents/learning_resources.qmd
-      - contents/community.qmd
-      - contents/case_studies.qmd
 
 bibliography: 
   # main
-  - contents/introduction/introduction.bib
-  - contents/ai_for_good/ai_for_good.bib
-  - contents/benchmarking/benchmarking.bib
-  - contents/data_engineering/data_engineering.bib
-  - contents/dl_primer/dl_primer.bib
-  - contents/efficient_ai/efficient_ai.bib
-  - contents/ml_systems/ml_systems.bib
-  - contents/frameworks/frameworks.bib
-  - contents/generative_ai/generative_ai.bib
-  - contents/hw_acceleration/hw_acceleration.bib
-  - contents/ondevice_learning/ondevice_learning.bib
-  - contents/ops/ops.bib
-  - contents/optimizations/optimizations.bib
-  - contents/privacy_security/privacy_security.bib
-  - contents/responsible_ai/responsible_ai.bib
-  - contents/robust_ai/robust_ai.bib
-  - contents/sustainable_ai/sustainable_ai.bib
-  - contents/training/training.bib
-  - contents/workflow/workflow.bib
-  - contents/conclusion/conclusion.bib
+  - contents/core/introduction/introduction.bib
+  - contents/core/ai_for_good/ai_for_good.bib
+  - contents/core/benchmarking/benchmarking.bib
+  - contents/core/data_engineering/data_engineering.bib
+  - contents/core/dl_primer/dl_primer.bib
+  - contents/core/efficient_ai/efficient_ai.bib
+  - contents/core/ml_systems/ml_systems.bib
+  - contents/core/frameworks/frameworks.bib
+  - contents/core/generative_ai/generative_ai.bib
+  - contents/core/hw_acceleration/hw_acceleration.bib
+  - contents/core/ondevice_learning/ondevice_learning.bib
+  - contents/core/ops/ops.bib
+  - contents/core/optimizations/optimizations.bib
+  - contents/core/privacy_security/privacy_security.bib
+  - contents/core/responsible_ai/responsible_ai.bib
+  - contents/core/robust_ai/robust_ai.bib
+  - contents/core/sustainable_ai/sustainable_ai.bib
+  - contents/core/training/training.bib
+  - contents/core/workflow/workflow.bib
+  - contents/core/conclusion/conclusion.bib
 
 comments:
   giscus:
@@ -273,8 +264,7 @@ format:
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