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contents/about.html

@@ -642,7 +642,7 @@ <h2 class="anchored" data-anchor-id="overview">Overview</h2>
 <section id="topics-explored" class="level2">
 <h2 class="anchored" data-anchor-id="topics-explored">Topics Explored</h2>
 <p>This book offers a comprehensive look at various aspects of machine learning systems. We cover the entire end-to-end ML systems workflow, starting with fundamental concepts and progressing through data engineering, AI frameworks, and model training.</p>
-<p>You’ll learn about optimizing models for efficiency, deploying AI on various hardware platforms, and benchmarking performance. The book also delves into advanced topics like security, privacy, responsible and sustainable AI, robust and generative AI, and the social impact of AI. By the end, you’ll have a solid foundation and practical insights into both the technical and ethical dimensions of machine learning.</p>
+<p>You’ll learn about optimizing models for efficiency, deploying AI on various hardware platforms, and benchmarking performance. The book also explores more advanced topics like security, privacy, responsible and sustainable AI, robust and generative AI, and the social impact of AI. By the end, you’ll have a solid foundation and practical insights into both the technical and ethical dimensions of machine learning.</p>
 <p>By the time you finish this book, we hope that you’ll have a foundational understanding of machine learning and its applications. You’ll also learn about real-world implementations of machine learning systems and gain practical experience through project-based labs and assignments.</p>
 </section>
 <section id="who-should-read-this" class="level2">

contents/ai_for_good/ai_for_good.html

@@ -952,7 +952,7 @@ <h2 data-number="19.10" class="anchored" data-anchor-id="challenges-and-consider
 Ooko, Samson Otieno, Marvin Muyonga Ogore, Jimmy Nsenga, and Marco Zennaro. 2021. <span>“<span>TinyML</span> in Africa: <span>Opportunities</span> and Challenges.”</span> In <em>2021 IEEE Globecom Workshops (GC Wkshps)</em>, 1–6. IEEE; IEEE. <a href="https://doi.org/10.1109/gcwkshps52748.2021.9682107">https://doi.org/10.1109/gcwkshps52748.2021.9682107</a>.
 </div></div><p>Data limitations also pose hurdles. TinyML models require quality localized datasets, which are scarce in under-resourced environments. Creating frameworks to crowdsource data ethically could address this. However, data collection should benefit local communities directly, not just extract value.</p>
 <p>Optimizing power usage and connectivity will be vital for sustainability. TinyML’s low power needs make it ideal for off-grid use cases. Integrating battery or solar can enable continuous operation. Adapting devices for low-bandwidth transmission where the internet is limited also maximizes impact.</p>
-<p>Cultural and language barriers further complicate adoption. User interfaces and devices should account for all literacy levels and avoid excluding subgroups. Voice-controllable solutions in local dialects can enhance accessibility.</p>
+<p>Cultural and language barriers further complicate adoption. User interfaces and devices should account for all literacy levels and avoid excluding subgroups. Voice-controllable solutions in local dialects can improve accessibility.</p>
 <p>Addressing these challenges requires holistic partnerships, funding, and policy support. However, inclusively and ethically scaling TinyML has monumental potential to uplift disadvantaged populations worldwide. With thoughtful implementation, the technology could profoundly democratize opportunity.</p>
 </section>
 <section id="conclusion" class="level2" data-number="19.11">
@@ -976,7 +976,7 @@ <h2 data-number="19.12" class="anchored" data-anchor-id="sec-ai-for-good-resourc
 </div>
 <div id="callout-7" class="callout-7-contents callout-collapse collapse show">
 <div class="callout-body-container callout-body">
-<p>These slides are a valuable tool for instructors to deliver lectures and for students to review the material at their own pace. We encourage students and instructors to leverage these slides to enhance their understanding and facilitate effective knowledge transfer.</p>
+<p>These slides are a valuable tool for instructors to deliver lectures and for students to review the material at their own pace. We encourage students and instructors to leverage these slides to improve their understanding and facilitate effective knowledge transfer.</p>
 <ul>
 <li><a href="https://docs.google.com/presentation/d/1gkA6pAPUjPWND9ODgnfhCVzbwVYXdrkTpXsJdZ7hJHY/edit#slide=id.ge94401e7d6_0_81">TinyML for Social Impact.</a></li>
 </ul>

contents/contributors.html

@@ -626,7 +626,7 @@ <h1 class="title">Contributors</h1>
 </header>
 
 
-<p>We extend our sincere thanks to the diverse group of individuals who have generously contributed their expertise, insights, and time to enhance both the content and codebase of this project. Below you will find a list of all contributors. If you would like to contribute to this project, please see our <a href="https://github.com/harvard-edge/cs249r_book">GitHub</a> page.</p>
+<p>We extend our sincere thanks to the diverse group of individuals who have generously contributed their expertise, insights, and time to improve both the content and codebase of this project. Below you will find a list of all contributors. If you would like to contribute to this project, please see our <a href="https://github.com/harvard-edge/cs249r_book">GitHub</a> page.</p>
 <style>
 
   /* Base styles for the contributors' table */
@@ -715,38 +715,38 @@ <h1 class="title">Contributors</h1>
 <a href="https://github.com/JaredP94"><img src="https://avatars.githubusercontent.com/JaredP94?s=100" width="100px;" alt="Jared Ping"><br><sub><b>Jared Ping</b></sub></a><br>
 </td>
 <td align="center" valign="top" width="20%">
+<a href="https://github.com/mpstewart1"><img src="https://avatars.githubusercontent.com/mpstewart1?s=100" width="100px;" alt="Matthew Stewart"><br><sub><b>Matthew Stewart</b></sub></a><br>
+</td>
+<td align="center" valign="top" width="20%">
 <a href="https://github.com/eliasab16"><img src="https://avatars.githubusercontent.com/eliasab16?s=100" width="100px;" alt="Elias Nuwara"><br><sub><b>Elias Nuwara</b></sub></a><br>
 </td>
 <td align="center" valign="top" width="20%">
 <a href="https://github.com/ishapira1"><img src="https://avatars.githubusercontent.com/ishapira1?s=100" width="100px;" alt="Itai Shapira"><br><sub><b>Itai Shapira</b></sub></a><br>
 </td>
+</tr>
+<tr>
 <td align="center" valign="top" width="20%">
 <a href="https://github.com/harvard-edge/cs249r_book/graphs/contributors"><img src="https://www.gravatar.com/avatar/8863743b4f26c1a20e730fcf7ebc3bc0?d=identicon&amp;s=100?s=100" width="100px;" alt="Maximilian Lam"><br><sub><b>Maximilian Lam</b></sub></a><br>
 </td>
-</tr>
-<tr>
 <td align="center" valign="top" width="20%">
 <a href="https://github.com/Mjrovai"><img src="https://avatars.githubusercontent.com/Mjrovai?s=100" width="100px;" alt="Marcelo Rovai"><br><sub><b>Marcelo Rovai</b></sub></a><br>
 </td>
 <td align="center" valign="top" width="20%">
-<a href="https://github.com/mpstewart1"><img src="https://avatars.githubusercontent.com/mpstewart1?s=100" width="100px;" alt="Matthew Stewart"><br><sub><b>Matthew Stewart</b></sub></a><br>
+<a href="https://github.com/jasonjabbour"><img src="https://avatars.githubusercontent.com/jasonjabbour?s=100" width="100px;" alt="jasonjabbour"><br><sub><b>jasonjabbour</b></sub></a><br>
 </td>
 <td align="center" valign="top" width="20%">
 <a href="https://github.com/jaysonzlin"><img src="https://avatars.githubusercontent.com/jaysonzlin?s=100" width="100px;" alt="Jayson Lin"><br><sub><b>Jayson Lin</b></sub></a><br>
 </td>
 <td align="center" valign="top" width="20%">
-<a href="https://github.com/sophiacho1"><img src="https://avatars.githubusercontent.com/sophiacho1?s=100" width="100px;" alt="Sophia Cho"><br><sub><b>Sophia Cho</b></sub></a><br>
-</td>
-<td align="center" valign="top" width="20%">
 <a href="https://github.com/18jeffreyma"><img src="https://avatars.githubusercontent.com/18jeffreyma?s=100" width="100px;" alt="Jeffrey Ma"><br><sub><b>Jeffrey Ma</b></sub></a><br>
 </td>
 </tr>
 <tr>
 <td align="center" valign="top" width="20%">
-<a href="https://github.com/korneelf1"><img src="https://avatars.githubusercontent.com/korneelf1?s=100" width="100px;" alt="Korneel Van den Berghe"><br><sub><b>Korneel Van den Berghe</b></sub></a><br>
+<a href="https://github.com/sophiacho1"><img src="https://avatars.githubusercontent.com/sophiacho1?s=100" width="100px;" alt="Sophia Cho"><br><sub><b>Sophia Cho</b></sub></a><br>
 </td>
 <td align="center" valign="top" width="20%">
-<a href="https://github.com/jasonjabbour"><img src="https://avatars.githubusercontent.com/jasonjabbour?s=100" width="100px;" alt="jasonjabbour"><br><sub><b>jasonjabbour</b></sub></a><br>
+<a href="https://github.com/korneelf1"><img src="https://avatars.githubusercontent.com/korneelf1?s=100" width="100px;" alt="Korneel Van den Berghe"><br><sub><b>Korneel Van den Berghe</b></sub></a><br>
 </td>
 <td align="center" valign="top" width="20%">
 <a href="https://github.com/zishenwan"><img src="https://avatars.githubusercontent.com/zishenwan?s=100" width="100px;" alt="Zishen Wan"><br><sub><b>Zishen Wan</b></sub></a><br>
@@ -783,7 +783,7 @@ <h1 class="title">Contributors</h1>
 <a href="https://github.com/harvard-edge/cs249r_book/graphs/contributors"><img src="https://www.gravatar.com/avatar/1439f56088ae6ed2a84066d1396e3027?d=identicon&amp;s=100?s=100" width="100px;" alt="Aghyad Deeb"><br><sub><b>Aghyad Deeb</b></sub></a><br>
 </td>
 <td align="center" valign="top" width="20%">
-<a href="https://github.com/ELSuitorHarvard"><img src="https://avatars.githubusercontent.com/ELSuitorHarvard?s=100" width="100px;" alt="ELSuitorHarvard"><br><sub><b>ELSuitorHarvard</b></sub></a><br>
+<a href="https://github.com/Sara-Khosravi"><img src="https://avatars.githubusercontent.com/Sara-Khosravi?s=100" width="100px;" alt="Sara Khosravi"><br><sub><b>Sara Khosravi</b></sub></a><br>
 </td>
 <td align="center" valign="top" width="20%">
 <a href="https://github.com/oishib"><img src="https://avatars.githubusercontent.com/oishib?s=100" width="100px;" alt="oishib"><br><sub><b>oishib</b></sub></a><br>
@@ -794,19 +794,16 @@ <h1 class="title">Contributors</h1>
 </tr>
 <tr>
 <td align="center" valign="top" width="20%">
-<a href="https://github.com/Ekhao"><img src="https://avatars.githubusercontent.com/Ekhao?s=100" width="100px;" alt="Emil Njor"><br><sub><b>Emil Njor</b></sub></a><br>
+<a href="https://github.com/ELSuitorHarvard"><img src="https://avatars.githubusercontent.com/ELSuitorHarvard?s=100" width="100px;" alt="ELSuitorHarvard"><br><sub><b>ELSuitorHarvard</b></sub></a><br>
 </td>
 <td align="center" valign="top" width="20%">
 <a href="https://github.com/MichaelSchnebly"><img src="https://avatars.githubusercontent.com/MichaelSchnebly?s=100" width="100px;" alt="Michael Schnebly"><br><sub><b>Michael Schnebly</b></sub></a><br>
 </td>
 <td align="center" valign="top" width="20%">
-<a href="https://github.com/mmaz"><img src="https://avatars.githubusercontent.com/mmaz?s=100" width="100px;" alt="Mark Mazumder"><br><sub><b>Mark Mazumder</b></sub></a><br>
-</td>
-<td align="center" valign="top" width="20%">
-<a href="https://github.com/jaywonchung"><img src="https://avatars.githubusercontent.com/jaywonchung?s=100" width="100px;" alt="Jae-Won Chung"><br><sub><b>Jae-Won Chung</b></sub></a><br>
+<a href="https://github.com/Ekhao"><img src="https://avatars.githubusercontent.com/Ekhao?s=100" width="100px;" alt="Emil Njor"><br><sub><b>Emil Njor</b></sub></a><br>
 </td>
 <td align="center" valign="top" width="20%">
-<a href="https://github.com/Sara-Khosravi"><img src="https://avatars.githubusercontent.com/Sara-Khosravi?s=100" width="100px;" alt="Sara Khosravi"><br><sub><b>Sara Khosravi</b></sub></a><br>
+<a href="https://github.com/mmaz"><img src="https://avatars.githubusercontent.com/mmaz?s=100" width="100px;" alt="Mark Mazumder"><br><sub><b>Mark Mazumder</b></sub></a><br>
 </td>
 <td align="center" valign="top" width="20%">
 <a href="https://github.com/BaeHenryS"><img src="https://avatars.githubusercontent.com/BaeHenryS?s=100" width="100px;" alt="Henry Bae"><br><sub><b>Henry Bae</b></sub></a><br>
@@ -817,7 +814,7 @@ <h1 class="title">Contributors</h1>
 <a href="https://github.com/leo47007"><img src="https://avatars.githubusercontent.com/leo47007?s=100" width="100px;" alt="Yu-Shun Hsiao"><br><sub><b>Yu-Shun Hsiao</b></sub></a><br>
 </td>
 <td align="center" valign="top" width="20%">
-<a href="https://github.com/BaeHenryS"><img src="https://avatars.githubusercontent.com/BaeHenryS?s=100" width="100px;" alt="Henry Bae"><br><sub><b>Henry Bae</b></sub></a><br>
+<a href="https://github.com/jaywonchung"><img src="https://avatars.githubusercontent.com/jaywonchung?s=100" width="100px;" alt="Jae-Won Chung"><br><sub><b>Jae-Won Chung</b></sub></a><br>
 </td>
 <td align="center" valign="top" width="20%">
 <a href="https://github.com/eurashin"><img src="https://avatars.githubusercontent.com/eurashin?s=100" width="100px;" alt="eurashin"><br><sub><b>eurashin</b></sub></a><br>

contents/conventions.qmd

@@ -33,7 +33,7 @@ Please follow these conventions as you contribute to this online book:
 5. **References and Further Reading:**
 
     - **Bibliography:** Include a bibliography at the end of each chapter for
-      readers who wish to delve deeper into specific topics.
+      readers who wish to dive deeper into specific topics.
     - **Citations:** Maintain a consistent style for citations, adhering to
       recognized academic standards like APA, MLA, or Chicago.