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contents/about.html

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-            <a class="sidebar-item-text sidebar-link text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-4" aria-expanded="true">
- <span class="menu-text">EXERCISES</span></a>
+            <a href="../contents/labs.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">LABS</span></a>
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contents/acknowledgements.html

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- <span class="menu-text">EXERCISES</span></a>
+            <a href="../contents/labs.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">LABS</span></a>
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contents/ai_for_good/ai_for_good.html

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-            <a class="sidebar-item-text sidebar-link text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-4" aria-expanded="true">
- <span class="menu-text">EXERCISES</span></a>
+            <a href="../../contents/labs.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">LABS</span></a>
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@@ -534,6 +534,7 @@ <h2 id="toc-title">Table of contents</h2>
   <li><a href="#infrastructure-and-urban-planning" id="toc-infrastructure-and-urban-planning" class="nav-link" data-scroll-target="#infrastructure-and-urban-planning"><span class="header-section-number">18.9</span> Infrastructure and Urban Planning</a></li>
   <li><a href="#challenges-and-considerations" id="toc-challenges-and-considerations" class="nav-link" data-scroll-target="#challenges-and-considerations"><span class="header-section-number">18.10</span> Challenges and Considerations</a></li>
   <li><a href="#conclusion" id="toc-conclusion" class="nav-link" data-scroll-target="#conclusion"><span class="header-section-number">18.11</span> Conclusion</a></li>
+  <li><a href="#sec-ai-for-good-resource" id="toc-sec-ai-for-good-resource" class="nav-link" data-scroll-target="#sec-ai-for-good-resource">Resources</a></li>
   </ul>
 <div class="toc-actions"><ul><li><a href="https://github.com/harvard-edge/cs249r_book/edit/main/contents/ai_for_good/ai_for_good.qmd" class="toc-action"><i class="bi bi-github"></i>Edit this page</a></li><li><a href="https://github.com/harvard-edge/cs249r_book/issues/new" class="toc-action"><i class="bi empty"></i>Report an issue</a></li><li><a href="https://github.com/harvard-edge/cs249r_book/blob/main/contents/ai_for_good/ai_for_good.qmd" class="toc-action"><i class="bi empty"></i>View source</a></li></ul></div></nav>
     </div>
@@ -559,6 +560,7 @@ <h1 class="title"><span class="chapter-number">18</span>&nbsp; <span class="chap
 </header>
 
 
+<p>Resources: <a href="#sec-ai-for-good-resource">Slides</a>, <a href="#sec-ai-for-good-resource">Labs</a>, <a href="#sec-ai-for-good-resource">Exercises</a></p>
 <div class="quarto-figure quarto-figure-center">
 <figure class="figure">
 <p><img src="images/png/cover_ai_good.png" class="img-fluid figure-img"></p>
@@ -722,6 +724,63 @@ <h2 data-number="18.11" class="anchored" data-anchor-id="conclusion"><span class
 <p>TinyML presents a tremendous opportunity to harness the power of artificial intelligence to advance the UN Sustainable Development Goals and drive social impact globally. As highlighted through the examples across sectors like healthcare, agriculture, conservation and more, embedded machine learning unlocks new capabilities for low-cost, accessible solutions tailored to local contexts. TinyML circumvents barriers like poor infrastructure, limited connectivity, and high costs that often exclude developing communities from emerging technology.</p>
 <p>However, realizing TinyML’s full potential requires holistic collaboration. Researchers, policymakers, companies and local stakeholders must work together to provide training, establish ethical frameworks, co-design solutions, and adapt them to community needs. Only through inclusive development and deployment can TinyML deliver on its promise to bridge inequities and uplift vulnerable populations without leaving any behind.</p>
 <p>If cultivated responsibly, TinyML could democratize opportunity and accelerate progress on global priorities from poverty alleviation to climate resilience. The technology represents a new wave of applied AI to empower societies, promote sustainability, and propel all of humanity collectively towards greater justice, prosperity and peace. TinyML provides a glimpse into an AI-enabled future that is accessible to all.</p>
+</section>
+<section id="sec-ai-for-good-resource" class="level2 unnumbered">
+<h2 class="unnumbered anchored" data-anchor-id="sec-ai-for-good-resource">Resources</h2>
+<p>Here is a curated list of resources to support both students and instructors in their learning and teaching journey. We are continuously working on expanding this collection and will be adding new exercises in the near future.</p>
+<div class="callout callout-style-simple callout-slide no-icon callout-titled">
+<div class="callout-header d-flex align-content-center" data-bs-toggle="collapse" data-bs-target=".callout-2-contents" aria-controls="callout-2" aria-expanded="false" aria-label="Toggle callout">
+<div class="callout-icon-container">
+<i class="callout-icon no-icon"></i>
+</div>
+<div class="callout-title-container flex-fill">
+Slides
+</div>
+<div class="callout-btn-toggle d-inline-block border-0 py-1 ps-1 pe-0 float-end"><i class="callout-toggle"></i></div>
+</div>
+<div id="callout-2" class="callout-2-contents callout-collapse collapse">
+<div class="callout-body-container callout-body">
+<p>These slides serve as a valuable tool for instructors to deliver lectures and for students to review the material at their own pace. We encourage both students and instructors to leverage these slides to enhance 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>
+</div>
+</div>
+</div>
+<div class="callout callout-style-simple callout-exercise no-icon callout-titled">
+<div class="callout-header d-flex align-content-center" data-bs-toggle="collapse" data-bs-target=".callout-3-contents" aria-controls="callout-3" aria-expanded="false" aria-label="Toggle callout">
+<div class="callout-icon-container">
+<i class="callout-icon no-icon"></i>
+</div>
+<div class="callout-title-container flex-fill">
+Exercises
+</div>
+<div class="callout-btn-toggle d-inline-block border-0 py-1 ps-1 pe-0 float-end"><i class="callout-toggle"></i></div>
+</div>
+<div id="callout-3" class="callout-3-contents callout-collapse collapse">
+<div class="callout-body-container callout-body">
+<p>To reinforce the concepts covered in this chapter, we have curated a set of exercises that challenge students to apply their knowledge and deepen their understanding.</p>
+<p>Coming soon.</p>
+</div>
+</div>
+</div>
+<div class="callout callout-style-simple callout-lab no-icon callout-titled">
+<div class="callout-header d-flex align-content-center" data-bs-toggle="collapse" data-bs-target=".callout-4-contents" aria-controls="callout-4" aria-expanded="false" aria-label="Toggle callout">
+<div class="callout-icon-container">
+<i class="callout-icon no-icon"></i>
+</div>
+<div class="callout-title-container flex-fill">
+Labs
+</div>
+<div class="callout-btn-toggle d-inline-block border-0 py-1 ps-1 pe-0 float-end"><i class="callout-toggle"></i></div>
+</div>
+<div id="callout-4" class="callout-4-contents callout-collapse collapse">
+<div class="callout-body-container callout-body">
+<p>In addition to exercises, we also offer a series of hands-on labs that allow students to gain practical experience with embedded AI technologies. These labs provide step-by-step guidance, enabling students to develop their skills in a structured and supportive environment. We are excited to announce that new labs will be available soon, further enriching the learning experience.</p>
+<p>Coming soon.</p>
+</div>
+</div>
+</div>
 
 
 <div id="refs" class="references csl-bib-body hanging-indent" data-entry-spacing="0" role="list" style="display: none">

contents/benchmarking/benchmarking.html

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-            <a class="sidebar-item-text sidebar-link text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-4" aria-expanded="true">
- <span class="menu-text">EXERCISES</span></a>
+            <a href="../../contents/labs.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">LABS</span></a>
           <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#quarto-sidebar-section-4" aria-expanded="true" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
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@@ -586,6 +586,7 @@ <h2 id="toc-title">Table of contents</h2>
   <li><a href="#the-trifecta" id="toc-the-trifecta" class="nav-link" data-scroll-target="#the-trifecta"><span class="header-section-number">12.7</span> The Trifecta</a></li>
   <li><a href="#benchmarks-for-emerging-technologies" id="toc-benchmarks-for-emerging-technologies" class="nav-link" data-scroll-target="#benchmarks-for-emerging-technologies"><span class="header-section-number">12.8</span> Benchmarks for Emerging Technologies</a></li>
   <li><a href="#conclusion" id="toc-conclusion" class="nav-link" data-scroll-target="#conclusion"><span class="header-section-number">12.9</span> Conclusion</a></li>
+  <li><a href="#sec-benchmarking-ai-resource" id="toc-sec-benchmarking-ai-resource" class="nav-link" data-scroll-target="#sec-benchmarking-ai-resource">Resources</a></li>
   </ul>
 <div class="toc-actions"><ul><li><a href="https://github.com/harvard-edge/cs249r_book/edit/main/contents/benchmarking/benchmarking.qmd" class="toc-action"><i class="bi bi-github"></i>Edit this page</a></li><li><a href="https://github.com/harvard-edge/cs249r_book/issues/new" class="toc-action"><i class="bi empty"></i>Report an issue</a></li><li><a href="https://github.com/harvard-edge/cs249r_book/blob/main/contents/benchmarking/benchmarking.qmd" class="toc-action"><i class="bi empty"></i>View source</a></li></ul></div></nav>
     </div>
@@ -611,6 +612,7 @@ <h1 class="title"><span class="chapter-number">12</span>&nbsp; <span class="chap
 </header>
 
 
+<p>Resources: <a href="#sec-benchmarking-ai-resource">Slides</a>, <a href="#sec-benchmarking-ai-resource">Labs</a>, <a href="#sec-benchmarking-ai-resource">Exercises</a></p>
 <div class="quarto-figure quarto-figure-center">
 <figure class="figure">
 <p><img src="images/png/cover_ai_benchmarking.png" class="img-fluid figure-img"></p>
@@ -1271,6 +1273,64 @@ <h2 data-number="12.9" class="anchored" data-anchor-id="conclusion"><span class=
 <p>As AI grows more complex, comprehensive benchmarking becomes even more critical. Standards must continuously evolve to measure new capabilities and reveal limitations. Close collaboration between industry, academics and national labls etc. is essential to develop benchmarks that are rigorous, transparent and socially beneficial.</p>
 <p>Benchmarking provides the compass to guide progress in AI. By persistently measuring and openly sharing results, we can navigate towards systems that are performant, robust and trustworthy. If AI is to properly serve societal and human needs, it must be benchmarked with humanity’s best interests in mind. To this end, there are emerging areas such as benchmarking the safety of AI systems but that’s for another day and perhaps something we can discuss further in Generative AI!</p>
 <p>Benchmarking is a continuously evolving topic. The article <a href="https://towardsdatascience.com/the-olympics-of-ai-benchmarking-machine-learning-systems-c4b2051fbd2b">The Olympics of AI: Benchmarking Machine Learning Systems</a> covers several emerging subfields in AI benchmarking, including robotics, extended reality, and neuromorphic computing that we encourage the reader to pursue.</p>
+</section>
+<section id="sec-benchmarking-ai-resource" class="level2 unnumbered">
+<h2 class="unnumbered anchored" data-anchor-id="sec-benchmarking-ai-resource">Resources</h2>
+<p>Here is a curated list of resources to support both students and instructors in their learning and teaching journey. We are continuously working on expanding this collection and will be adding new exercises in the near future.</p>
+<div class="callout callout-style-simple callout-slide no-icon callout-titled">
+<div class="callout-header d-flex align-content-center" data-bs-toggle="collapse" data-bs-target=".callout-2-contents" aria-controls="callout-2" aria-expanded="false" aria-label="Toggle callout">
+<div class="callout-icon-container">
+<i class="callout-icon no-icon"></i>
+</div>
+<div class="callout-title-container flex-fill">
+Slides
+</div>
+<div class="callout-btn-toggle d-inline-block border-0 py-1 ps-1 pe-0 float-end"><i class="callout-toggle"></i></div>
+</div>
+<div id="callout-2" class="callout-2-contents callout-collapse collapse">
+<div class="callout-body-container callout-body">
+<p>These slides serve as a valuable tool for instructors to deliver lectures and for students to review the material at their own pace. We encourage both students and instructors to leverage these slides to enhance their understanding and facilitate effective knowledge transfer.</p>
+<ul>
+<li><p><a href="https://docs.google.com/presentation/d/17udz3gxeYF3r3X1r4ePwu1I9H8ljb53W3ktFSmuDlGs/edit?usp=drive_link&amp;resourcekey=0-Espn0a0x81kl2txL_jIWjw">Why is benchmarking important?</a></p></li>
+<li><p><a href="https://docs.google.com/presentation/d/18PI_0xmcW1xwwfcjmj25PikqBM_92vQfOXFV4hah-6I/edit?resourcekey=0-KO3HQcDAsR--jgbKd5cp4w#slide=id.g94db9f9f78_0_2">Embedded inference benchmarking.</a></p></li>
+</ul>
+</div>
+</div>
+</div>
+<div class="callout callout-style-simple callout-exercise no-icon callout-titled">
+<div class="callout-header d-flex align-content-center" data-bs-toggle="collapse" data-bs-target=".callout-3-contents" aria-controls="callout-3" aria-expanded="false" aria-label="Toggle callout">
+<div class="callout-icon-container">
+<i class="callout-icon no-icon"></i>
+</div>
+<div class="callout-title-container flex-fill">
+Exercises
+</div>
+<div class="callout-btn-toggle d-inline-block border-0 py-1 ps-1 pe-0 float-end"><i class="callout-toggle"></i></div>
+</div>
+<div id="callout-3" class="callout-3-contents callout-collapse collapse">
+<div class="callout-body-container callout-body">
+<p>To reinforce the concepts covered in this chapter, we have curated a set of exercises that challenge students to apply their knowledge and deepen their understanding.</p>
+<p>Coming soon.</p>
+</div>
+</div>
+</div>
+<div class="callout callout-style-simple callout-lab no-icon callout-titled">
+<div class="callout-header d-flex align-content-center" data-bs-toggle="collapse" data-bs-target=".callout-4-contents" aria-controls="callout-4" aria-expanded="false" aria-label="Toggle callout">
+<div class="callout-icon-container">
+<i class="callout-icon no-icon"></i>
+</div>
+<div class="callout-title-container flex-fill">
+Labs
+</div>
+<div class="callout-btn-toggle d-inline-block border-0 py-1 ps-1 pe-0 float-end"><i class="callout-toggle"></i></div>
+</div>
+<div id="callout-4" class="callout-4-contents callout-collapse collapse">
+<div class="callout-body-container callout-body">
+<p>In addition to exercises, we also offer a series of hands-on labs that allow students to gain practical experience with embedded AI technologies. These labs provide step-by-step guidance, enabling students to develop their skills in a structured and supportive environment. We are excited to announce that new labs will be available soon, further enriching the learning experience.</p>
+<p>Coming soon.</p>
+</div>
+</div>
+</div>
 
 
 <div id="refs" class="references csl-bib-body hanging-indent" data-entry-spacing="0" role="list" style="display: none">

contents/case_studies.html

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- <span class="menu-text">EXERCISES</span></a>
+            <a href="../contents/labs.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">LABS</span></a>
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contents/community.html

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- <span class="menu-text">EXERCISES</span></a>
+            <a href="../contents/labs.html" class="sidebar-item-text sidebar-link">
+ <span class="menu-text">LABS</span></a>
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