<snapdata remixID="14971162"><project name="unit 4 lab 3" app="Snap! 11.0.8, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,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select="1"><scene name="unit 4 lab 3"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="%&apos;val1&apos; &lt;= %&apos;val2&apos;" type="predicate" category="operators"><header></header><code></code><translations></translations><inputs><input type="%s" initial="1"></input><input type="%s" initial="1"></input></inputs><script><block s="doReport"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block var="val2"/><block var="val1"/></list></block><block s="reportVariadicLessThan"><list><block var="val1"/><block var="val2"/></list></block></list></block></block></script></block-definition><block-definition s="%&apos;val1&apos; &gt;= %&apos;val2&apos;" type="predicate" category="operators"><header></header><code></code><translations></translations><inputs><input type="%s" initial="1"></input><input type="%s" initial="1"></input></inputs><script><block s="doReport"><block s="reportVariadicOr"><list><block 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Much of this happens in the supply chain due to spoilage (temperature fluctuations), poor inventory management, or inefficient logistics.&#xD;</l><l>10</l></block><block s="doSayFor"><l>IoT sensors monitor factors like temperature and humidity to alert drivers to spoilage risks before the food is ruined. Blockchain can create a digital ledger that allows retailers to trace contamination instantly. Data Analytics uses past sales and weather patterns to predict demand, ensuring stores order only what they can sell before it expires.</l><l>15</l></block><block s="doAsk"><l>What can you do ethically to help mitigate/solve this problem?</l></block><block s="doAddToList"><block s="getLastAnswer"></block><block var="Personal solutions"/></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="solution"/><l>2</l></list></block><script><block s="doSayFor"><l>Conditions like pancreatic cancer, ovarian cancer, or hypertension often cause zero pain or discomfort until they reach an advanced stage. By the time a patient feels sick enough to see a doctor, the window for early intervention has already closed.</l><l>10</l></block><block s="doSayFor"><l>Deep Learning Networks process vast datasets through multiple layers of neurons. These networks can detect microscopic anomalies in medical imaging, like faint shadows in lung CT scans or small retinal changes,before they are visible to the human eye. It can also analyze patient data to predict illness before symptoms appear.</l><l>15</l></block><block s="doAsk"><l>What can you do ethically to help mitigate/solve this problem?</l></block><block s="doAddToList"><block s="getLastAnswer"></block><block var="Personal solutions"/></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="solution"/><l>3</l></list></block><script><block s="doSayFor"><l>Traffic burns time and money while ruining air quality. It blocks ambulances during emergencies and forces cities to prioritize cars over people, making neighborhoods dirtier and harder to live in.</l><l>10</l></block><block s="doSayFor"><l>IoT sensors track traffic volume while Computer Vision detects accidents instantly. AI optimization algorithms then adjust traffic signals to clear jams and prioritize emergency vehicles. This creates a responsive network that eliminates bottlenecks and keeps cities moving efficiently</l><l>15</l></block><block s="doAsk"><l>What can you do ethically to help mitigate/solve this problem?</l></block><block s="doAddToList"><block s="getLastAnswer"></block><block var="Personal solutions"/></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="solution"/><l>4</l></list></block><script><block s="doSayFor"><l>In a traditional classroom, a teacher must instruct 30+ students simultaneously. Students learn at different speeds, where those who struggle fall behind, while those who excel become bored.</l><l>10</l></block><block s="doSayFor"><l>NLP analyzes student work to provide instant feedback and translation, bridging language and skill gaps. Recommendation Engines then tailor the curriculum by suggesting specific resources based on individual struggles. Together, they act as a scalable, virtual tutor, democratizing access to personalized support and ensuring no student falls behind due to a lack of resources</l><l>15</l></block><block s="doAsk"><l>What can you do ethically to help mitigate/solve this problem?</l></block><block s="doAddToList"><block s="getLastAnswer"></block><block var="Personal solutions"/></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="solution"/><l>5</l></list></block><script><block s="doSayFor"><l>With over 7,000 languages spoken globally, communication barriers hinder international business, travel, and crisis response.</l><l>10</l></block><block s="doSayFor"><l>Deep Neural Networks accurately process context and nuance rather than just swapping words. Speech Synthesis then turns that text into audio, mimicking human intonation. Together, they allow for verbal cross-language conversations, eliminating the need for interpreters and making global communication seamless and personal.</l><l>15</l></block><block s="doAsk"><l>What can you do ethically to help mitigate/solve this problem?</l></block><block s="doAddToList"><block s="getLastAnswer"></block><block var="Personal solutions"/></block></script><list></list></block></script></block-definition></blocks><primitives></primitives><stage name="Stage" width="480" height="360" costume="0" color="255,255,255,1" tempo="60" threadsafe="false" penlog="false" volume="100" pan="0" lines="round" ternary="false" hyperops="true" codify="false" inheritance="true" sublistIDs="false" 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