{"id":136351,"date":"2024-10-09T13:07:02","date_gmt":"2024-10-09T07:37:02","guid":{"rendered":"https:\/\/pwonlyias.com\/stage\/?post_type=mains-answer-writing&#038;p=136351"},"modified":"2024-10-10T11:36:44","modified_gmt":"2024-10-10T06:06:44","slug":"what-are-artificial-neural-networks-in-ai","status":"publish","type":"mains-answer-writing","link":"https:\/\/pwonlyias.com\/stage\/mains-answer-writing\/what-are-artificial-neural-networks-in-ai","title":{"rendered":"What are artificial neural networks (ANNs) in AI? Explain how they work and mention some of their practical uses (15 M, 250 words)"},"content":{"rendered":"<table style=\"width: 100.167%;\">\n<tbody>\n<tr>\n<td style=\"width: 100%;\"><b>Core Demand of the Question<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Explain what artificial neural networks (ANNs) are.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Explain the working mechanism of artificial neural networks (ANNs) in AI.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Discuss practical uses of artificial neural networks (ANNs).<\/span><\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u00a0<\/p>\n<p><b style=\"background-color: var(--global--color-background); color: var(--global--color-primary); font-family: var(--global--font-secondary); font-size: var(--global--font-size-base);\">Answer:<\/b><\/p>\n<p><b>Artificial Neural Networks (ANNs)<\/b><span style=\"font-weight: 400;\"> are a core component of <\/span><b>Artificial Intelligence (AI)<\/b><span style=\"font-weight: 400;\">, designed to replicate the way the <\/span><b>human brain<\/b><span style=\"font-weight: 400;\"> processes information. By using layers of <\/span><b>interconnected neurons<\/b><span style=\"font-weight: 400;\">, ANNs can <\/span><b>learn<\/b><span style=\"font-weight: 400;\"> from large datasets, <\/span><b>identify complex patterns<\/b><span style=\"font-weight: 400;\">, and make <\/span><b>decisions<\/b><span style=\"font-weight: 400;\">. They play a crucial role in fields like <\/span><b>machine learning<\/b><span style=\"font-weight: 400;\">, where they are applied in tasks such as <\/span><b>image recognition<\/b><span style=\"font-weight: 400;\">, <\/span><b>natural language processing<\/b><span style=\"font-weight: 400;\">, and <\/span><b>predictive analytics<\/b><span style=\"font-weight: 400;\">, revolutionising various industries.<\/span><\/p>\n<p style=\"text-align: center;\"><span class=\"vc_button\"><a href=\"https:\/\/www.pw.live\/batches\/upsc?utm_source=seo+upsc+batch&#038;utm_medium=seo+upsc&#038;utm_campaign=seo&#038;utm_id=upsc\" target=\"_blank\" rel=\"noopener\">Enroll now for UPSC Online Course<\/a><\/span><\/p>\n<h2><span style=\"font-size: 18pt;\"><b>Artificial Neural Networks (ANNs)<\/b><span style=\"font-weight: 400;\"> in <\/span><b>AI<\/b><\/span><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Mimicking Biological Neurons<\/b><span style=\"font-weight: 400;\">: ANNs are inspired by the structure of <\/span><b>biological neurons<\/b><span style=\"font-weight: 400;\">, consisting of multiple layers that process information. Each <\/span><b>neuron<\/b><span style=\"font-weight: 400;\"> receives <\/span><b>input<\/b><span style=\"font-weight: 400;\">, applies <\/span><b>weights<\/b><span style=\"font-weight: 400;\">, and transfers data to the next neuron.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><b>For example:<\/b><span style=\"font-weight: 400;\"> In <\/span><b>image classification<\/b><span style=\"font-weight: 400;\">, ANNs analyse pixels of an image to recognize objects like cars or animals.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Layered Architecture<\/b><span style=\"font-weight: 400;\">: ANNs consist of<\/span><b> three <\/b><span style=\"font-weight: 400;\">main layers: <\/span><b>input<\/b><span style=\"font-weight: 400;\">, <\/span><b>hidden<\/b><span style=\"font-weight: 400;\">, and <\/span><b>output layers<\/b><span style=\"font-weight: 400;\">. Each layer refines the data to reach a final decision or output.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><b>For example:<\/b><span style=\"font-weight: 400;\"> In <\/span><b>speech recognition<\/b><span style=\"font-weight: 400;\">, the input layer processes sound waves, and the hidden layers identify patterns, converting them into text.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Learning and Training<\/b><span style=\"font-weight: 400;\">: ANNs learn by adjusting the <\/span><b>weights<\/b><span style=\"font-weight: 400;\"> of neurons based on the <\/span><b>error<\/b><span style=\"font-weight: 400;\"> between the predicted output and the actual result, a process known as <\/span><b>training<\/b><span style=\"font-weight: 400;\">.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><b>For example:<\/b> <b>Self-driving cars<\/b><span style=\"font-weight: 400;\"> use ANNs to learn how to recognize <\/span><b>pedestrians<\/b><span style=\"font-weight: 400;\"> by repeatedly refining their model through data from <\/span><b>road environments<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Handling Complex Data<\/b><span style=\"font-weight: 400;\">: ANNs can process and solve nonlinear problems, making them ideal for applications involving <\/span><b>complex<\/b><span style=\"font-weight: 400;\"> and <\/span><b>unstructured data<\/b><span style=\"font-weight: 400;\">.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><b>For example:<\/b><span style=\"font-weight: 400;\"> ANNs are used in <\/span><b>weather forecasting<\/b><span style=\"font-weight: 400;\">, where multiple dynamic variables are analysed to predict <\/span><b>weather conditions<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Improving Over Time<\/b><span style=\"font-weight: 400;\">: Through <\/span><b>supervised learning<\/b><span style=\"font-weight: 400;\">, ANNs continually improve their <\/span><b>accuracy<\/b><span style=\"font-weight: 400;\"> as they are exposed to more data, becoming more efficient in tasks like <\/span><b>classification<\/b><span style=\"font-weight: 400;\"> and <\/span><b>prediction<\/b><span style=\"font-weight: 400;\">.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><b>For example:<\/b><span style=\"font-weight: 400;\"> ANNs in <\/span><b>spam filters<\/b><span style=\"font-weight: 400;\"> identify patterns in email data to better distinguish between <\/span><b>legitimate emails <\/b><span style=\"font-weight: 400;\">and <\/span><b>spam<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-size: 18pt;\"><b>Working Mechanism of Artificial Neural Networks (ANNs) in AI<\/b><\/span><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Input and Weight Assignment<\/b><span style=\"font-weight: 400;\">: The ANN begins by receiving <\/span><b>input data<\/b><span style=\"font-weight: 400;\"> (like images or text) and assigns <\/span><b>weights<\/b><span style=\"font-weight: 400;\"> to each input based on its importance for the task.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><b>For example:<\/b><span style=\"font-weight: 400;\"> In <\/span><b>facial recognition<\/b><span style=\"font-weight: 400;\">, each <\/span><b>pixel<\/b><span style=\"font-weight: 400;\"> of an image serves as input, and the ANN assigns different <\/span><b>weights <\/b><span style=\"font-weight: 400;\">to features like <\/span><b>eyes<\/b><span style=\"font-weight: 400;\"> or <\/span><b>nose<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Activation Functions<\/b><span style=\"font-weight: 400;\">: The network uses activation functions such as <\/span><b>ReLU<\/b><span style=\"font-weight: 400;\"> or <\/span><b>sigmoid<\/b><span style=\"font-weight: 400;\"> to introduce <\/span><b>non-linearity<\/b><span style=\"font-weight: 400;\">, enabling the ANN to model more complex data relationships.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><b>For example:<\/b><span style=\"font-weight: 400;\"> In <\/span><b>voice recognition systems<\/b><span style=\"font-weight: 400;\">, activation functions help interpret varying <\/span><b>accents<\/b><span style=\"font-weight: 400;\"> and <\/span><b>speech nuances<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Forward Propagation<\/b><span style=\"font-weight: 400;\">: During <\/span><b>forward propagation<\/b><span style=\"font-weight: 400;\">, input data is passed through the <\/span><b>hidden layers<\/b><span style=\"font-weight: 400;\">, and an output is generated, which is compared with the expected output to calculate the <\/span><b>error<\/b><span style=\"font-weight: 400;\">.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><b>For example:<\/b><span style=\"font-weight: 400;\"> In a <\/span><b>cancer detection<\/b><span style=\"font-weight: 400;\"> system, the ANN predicts whether an image is <\/span><b>malignant<\/b><span style=\"font-weight: 400;\"> or <\/span><b>benign<\/b><span style=\"font-weight: 400;\"> and compares it with actual medical reports.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Error Calculation<\/b><span style=\"font-weight: 400;\">: The <\/span><b>error<\/b><span style=\"font-weight: 400;\"> between predicted and actual output is used to adjust the <\/span><b>weights<\/b><span style=\"font-weight: 400;\"> using loss functions like <\/span><b>mean squared error<\/b><span style=\"font-weight: 400;\">, ensuring the network improves.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><b>For example:<\/b><span style=\"font-weight: 400;\"> In <\/span><b>financial forecasting<\/b><span style=\"font-weight: 400;\">, the ANN adjusts its model based on the difference between predicted and actual <\/span><b>stock prices<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Backpropagation<\/b><span style=\"font-weight: 400;\">: Through <\/span><b>backpropagation<\/b><span style=\"font-weight: 400;\">, the ANN modifies the <\/span><b>weights<\/b><span style=\"font-weight: 400;\"> in each neuron to minimise future <\/span><b>errors<\/b><span style=\"font-weight: 400;\">, ensuring higher <\/span><b>accuracy<\/b><span style=\"font-weight: 400;\"> in predictions.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><b>For example:<\/b><span style=\"font-weight: 400;\"> ANNs in <\/span><b>machine translation<\/b><span style=\"font-weight: 400;\"> refine language models over time by adjusting translations based on <\/span><b>linguistic patterns<\/b><span style=\"font-weight: 400;\"> and user feedback.<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-size: 18pt;\"><b>Practical Uses of Artificial Neural Networks (ANNs)<\/b><\/span><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Healthcare Diagnostics<\/b><span style=\"font-weight: 400;\">: ANNs are extensively used in <\/span><b>medical imaging<\/b><span style=\"font-weight: 400;\"> to detect diseases such as <\/span><b>cancer<\/b><span style=\"font-weight: 400;\"> or <\/span><b>cardiac conditions<\/b><span style=\"font-weight: 400;\"> by analysing complex health data.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><b>For example:<\/b><span style=\"font-weight: 400;\"> ANNs help in <\/span><b>early cancer detection<\/b><span style=\"font-weight: 400;\"> by processing <\/span><b>MRI scans<\/b><span style=\"font-weight: 400;\"> to identify <\/span><b>abnormal growths<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Natural Language Processing (NLP)<\/b><span style=\"font-weight: 400;\">: ANNs are crucial in <\/span><b>speech recognition<\/b><span style=\"font-weight: 400;\"> and <\/span><b>chatbots<\/b><span style=\"font-weight: 400;\">, enabling machines to understand and interact with <\/span><b>human language<\/b><span style=\"font-weight: 400;\">.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><b>For example:<\/b> <b>Google Assistant<\/b><span style=\"font-weight: 400;\"> and <\/span><b>Amazon Alexa<\/b><span style=\"font-weight: 400;\"> use ANNs to process <\/span><b>voice commands<\/b><span style=\"font-weight: 400;\"> and provide relevant responses.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Financial Forecasting<\/b><span style=\"font-weight: 400;\">: ANNs are used in <\/span><b>predictive analytics<\/b><span style=\"font-weight: 400;\"> to anticipate <\/span><b>stock market trends<\/b><span style=\"font-weight: 400;\">, detect <\/span><b>fraud<\/b><span style=\"font-weight: 400;\">, and assess <\/span><b>credit risks<\/b><span style=\"font-weight: 400;\">.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><b>For example:<\/b><span style=\"font-weight: 400;\"> ANNs monitor <\/span><b>credit card transactions<\/b><span style=\"font-weight: 400;\"> and detect unusual spending patterns to prevent <\/span><b>fraud<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Image and Video Recognition<\/b><span style=\"font-weight: 400;\">: ANNs are applied in <\/span><b>facial recognition<\/b><span style=\"font-weight: 400;\"> and <\/span><b>object detection<\/b><span style=\"font-weight: 400;\">, essential for <\/span><b>security systems<\/b><span style=\"font-weight: 400;\">, social media, and <\/span><b>autonomous driving<\/b><span style=\"font-weight: 400;\">.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><b>For example:<\/b><span style=\"font-weight: 400;\"> Social media platforms like <\/span><b>Facebook<\/b><span style=\"font-weight: 400;\"> use ANNs to automatically tag <\/span><b>people<\/b><span style=\"font-weight: 400;\"> in photos.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Autonomous Vehicles<\/b><span style=\"font-weight: 400;\">: ANNs power <\/span><b>self-driving cars<\/b><span style=\"font-weight: 400;\">, allowing them to process <\/span><b>sensor<\/b><span style=\"font-weight: 400;\"> and <\/span><b>camera data<\/b><span style=\"font-weight: 400;\">, enabling real-time <\/span><b>decision-making<\/b><span style=\"font-weight: 400;\"> while driving.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><b>For example:<\/b> <b>Tesla\u2019s Autopilot<\/b><span style=\"font-weight: 400;\"> uses ANNs to navigate roads, identify <\/span><b>obstacles<\/b><span style=\"font-weight: 400;\">, and make driving decisions autonomously.<\/span><\/li>\n<\/ul>\n<p style=\"text-align: center;\"><span class=\"vc_button\"><a href=\"https:\/\/store.pw.live\/govt-entrance-exams\/upsc-books?utm_source=SEO&#038;utm_medium=PW+Live&#038;utm_campaign=UPSC+CSE+Books\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Check Out UPSC CSE Books From PW Store<\/span><\/a><\/span><\/p>\n<p><b>Artificial Neural Networks (ANNs)<\/b><span style=\"font-weight: 400;\"> are integral to the advancement of <\/span><b>AI<\/b><span style=\"font-weight: 400;\">, transforming industries through their ability to <\/span><b>learn<\/b><span style=\"font-weight: 400;\">, <\/span><b>adapt<\/b><span style=\"font-weight: 400;\">, and make <\/span><b>decisions<\/b><span style=\"font-weight: 400;\"> from data. From healthcare diagnostics to autonomous driving, ANNs offer vast potential in solving complex problems. By mimicking the <\/span><b>human brain&#8217;s neural structure<\/b><span style=\"font-weight: 400;\">, they continue to drive innovation in AI applications, making them a fundamental tool in shaping the future of technology.<\/span><\/p>\n<div class=\"vc_table_green\"><\/p>\n<table style=\"width: 100.043%;\">\n<tbody>\n<tr>\n<td style=\"width: 130.811%; text-align: center; border-style: solid; border-color: #000000;\" colspan=\"2\"><span style=\"font-size: 18pt;\"><b>Must Read<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 50.5357%; text-align: center; border-style: solid; border-color: #000000;\"><a href=\"https:\/\/pwonlyias.com\/stage\/editorial-analysis\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">UPSC Daily Editorials<\/span><\/a><\/td>\n<td style=\"width: 80.2753%; text-align: center; border-style: solid; border-color: #000000;\"><a href=\"https:\/\/pwonlyias.com\/stage\/daily-current-affairs\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">UPSC Daily Current Affairs<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 50.5357%; text-align: center; border-style: solid; border-color: #000000;\"><a href=\"https:\/\/store.pw.live\/govt-entrance-exams\/upsc-books\/upsc-textbooks?utm_source=SEO&#038;utm_medium=PW+Live&#038;utm_campaign=UPSC+Textbooks\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Check Out UPSC NCERT Textbooks From PW Store<\/span><\/a><\/td>\n<td style=\"width: 80.2753%; text-align: center; border-style: solid; border-color: #000000;\"><a href=\"https:\/\/store.pw.live\/govt-entrance-exams\/upsc-books\/upsc-modules?utm_source=SEO&#038;utm_medium=PW+Live&#038;utm_campaign=UPSC+Modules\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Check Out UPSC Modules From PW Store<\/span><\/a><span style=\"font-weight: 400;\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 50.5357%; text-align: center; border-style: solid; border-color: #000000;\"><a href=\"https:\/\/store.pw.live\/govt-entrance-exams\/upsc-books\/upsc-previous-year-papers?utm_source=SEO&#038;utm_medium=PW+Live&#038;utm_campaign=UPSC+Previous+Year+Papers\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Check Out Previous Years Papers From PW Store<\/span><\/a><\/td>\n<td style=\"width: 80.2753%; text-align: center; border-style: solid; border-color: #000000;\"><a href=\"https:\/\/pwonlyias.com\/stage\/upsc-test-series-courses\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">UPSC Test Series 2024<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 50.5357%; text-align: center; border-style: solid; border-color: #000000;\"><a href=\"https:\/\/pwonlyias.com\/stage\/quiz\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Daily Current Affairs Quiz<\/span><\/a><\/td>\n<td style=\"width: 80.2753%; text-align: center; border-style: solid; border-color: #000000;\"><a href=\"https:\/\/pwonlyias.com\/stage\/mains-answer-writing\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Daily Main Answer Writing<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 130.811%; text-align: center; border-style: solid; border-color: #000000;\" colspan=\"2\"><a href=\"https:\/\/store.pw.live\/govt-entrance-exams\/upsc-books?utm_source=SEO&#038;utm_medium=PW+Live&#038;utm_campaign=UPSC+CSE+Books\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Check Out UPSC CSE Books From PW Store<\/span><\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Core Demand of the Question Explain what artificial neural networks (ANNs) are. Explain the working mechanism of artificial neural networks (ANNs) in AI. Discuss practical uses of artificial neural networks (ANNs). \u00a0 Answer: Artificial Neural Networks (ANNs) are a core component of Artificial Intelligence (AI), designed to replicate the way the human brain processes information.&hellip; <a class=\"more-link\" href=\"https:\/\/pwonlyias.com\/stage\/mains-answer-writing\/what-are-artificial-neural-networks-in-ai\">Continue reading <span class=\"screen-reader-text\">What are artificial neural networks (ANNs) in AI? Explain how they work and mention some of their practical uses (15 M, 250 words)<\/span><\/a><\/p>\n","protected":false},"author":11,"featured_media":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","format":"standard","meta":{"rank_math_lock_modified_date":false,"footnotes":""},"paper-wise":[2089],"subject":[],"acf":[],"_links":{"self":[{"href":"https:\/\/pwonlyias.com\/stage\/wp-json\/wp\/v2\/mains-answer-writing\/136351"}],"collection":[{"href":"https:\/\/pwonlyias.com\/stage\/wp-json\/wp\/v2\/mains-answer-writing"}],"about":[{"href":"https:\/\/pwonlyias.com\/stage\/wp-json\/wp\/v2\/types\/mains-answer-writing"}],"author":[{"embeddable":true,"href":"https:\/\/pwonlyias.com\/stage\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/pwonlyias.com\/stage\/wp-json\/wp\/v2\/comments?post=136351"}],"version-history":[{"count":3,"href":"https:\/\/pwonlyias.com\/stage\/wp-json\/wp\/v2\/mains-answer-writing\/136351\/revisions"}],"predecessor-version":[{"id":136715,"href":"https:\/\/pwonlyias.com\/stage\/wp-json\/wp\/v2\/mains-answer-writing\/136351\/revisions\/136715"}],"wp:attachment":[{"href":"https:\/\/pwonlyias.com\/stage\/wp-json\/wp\/v2\/media?parent=136351"}],"wp:term":[{"taxonomy":"paper-wise","embeddable":true,"href":"https:\/\/pwonlyias.com\/stage\/wp-json\/wp\/v2\/paper-wise?post=136351"},{"taxonomy":"subject","embeddable":true,"href":"https:\/\/pwonlyias.com\/stage\/wp-json\/wp\/v2\/subject?post=136351"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}