AI for social good section

harvard-edge · Sep 27, 2023 · 5fbbe46 · 5fbbe46
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diff --git a/_quarto.yml b/_quarto.yml
@@ -46,6 +46,7 @@ book:
     - responsible_ai.qmd
     - sustainable_ai.qmd
     - generative_ai.qmd
+    - ai_social_good.qmd
     - references.qmd
 
   appendices:

diff --git a/ai_social_good.qmd b/ai_social_good.qmd
@@ -0,0 +1,3 @@
+# AI for Good
+
+coming soon.
diff --git a/index.qmd b/index.qmd
@@ -1,6 +1,6 @@
 # Preface {.unnumbered}
 
-Welcome to "Embedded AI: Principles, Algorithms, and Applications!" This book is your gateway to the fast-paced world of artificial intelligence within embedded systems. It as an extension of the foundational course, tinyML from CS249r at Harvard University.
+Welcome to "Machine Learning Systems for TinyML" This book is your gateway to the fast-paced world of artificial intelligence within embedded systems. It as an extension of the foundational course, tinyML from CS249r at Harvard University.
 
 Our aim? To make this book a collaborative effort that brings together insights from students, professionals, and the broader community. We want to create a one-stop guide that dives deep into the nuts and bolts of embedded AI and its many uses.
 
@@ -11,7 +11,7 @@ This isn't just a static textbook; it's a living, breathing document. We're maki
 
 # Why We Wrote This Book
 
-We're in an age where technology is always evolving. Open collaboration and sharing knowledge are the building blocks of true innovation. That's the spirit behind "Embedded AI: Principles, Algorithms, and Applications." We're going beyond the traditional textbook model to create a living knowledge hub. 
+We're in an age where technology is always evolving. Open collaboration and sharing knowledge are the building blocks of true innovation. That's the spirit behind "Machine Learning Systems for TinyML." We're going beyond the traditional textbook model to create a living knowledge hub. 
 
 The book covers principles, algorithms, and real-world application case studies, aiming to give you a deep understanding that will help you navigate the ever-changing landscape of embedded AI. By keeping it open, we're not just making learning accessible; we're inviting new ideas and ongoing improvements. In short, we're building a community where knowledge is free to grow and light the way forward in global embedded AI tech.
 

diff --git a/introduction.qmd b/introduction.qmd
@@ -68,7 +68,11 @@ We discuss the ethical principles guiding the responsible use of AI, focusing on
 This chapter explores practices and strategies for sustainable AI, ensuring long-term viability and reduced environmental impact.
 
 **Chapter 18: Generative AI**
-As we conclude, we explore the algorithms and techniques behind generative AI, opening avenues for innovation and creativity.
+We explore the algorithms and techniques behind generative AI, opening avenues for innovation and creativity.
+
+**Chapter 19: AI for Good**
+
+We highlight positive applications of TinyML in areas like healthcare, agriculture, and conservation.
 
 ## How to Navigate This Book