[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"academy-blogs-en-1-1-all-ai-vs-machine-learning-all--*":3,"academy-blog-translations-dik17bkfyfccz44":70},{"data":4,"page":69,"perPage":69,"totalItems":69,"totalPages":69},[5],{"alt":6,"collectionId":7,"collectionName":8,"content":9,"cover_image":10,"cover_image_path":11,"created":12,"created_by":13,"expand":14,"id":63,"keywords":64,"locale":39,"published_at":65,"scheduled_at":13,"school_blog":61,"short_description":66,"slug":67,"status":59,"title":6,"updated":68,"updated_by":13,"views":62},"How Do AI and Machine Learning Differ?","sclblg987654321","school_blog_translations","\u003Cp>In an era where technology is advancing rapidly, the terms \"Artificial Intelligence\" (AI) and \"Machine Learning\" (ML) are frequently discussed. However, many people still find themselves confused about the meanings and differences between these two concepts. In this article, we will clarify these terms for better understanding.\u003C\u002Fp>\u003Cp>&nbsp;\u003C\u002Fp>\u003Ch2>What is AI?\u003C\u002Fh2>\u003Cp>Artificial Intelligence (AI) is a technology designed to enable machines or programs to perform tasks or exhibit behaviors similar to humans, such as thinking, learning, understanding language, or solving problems. AI can be divided into two main categories:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Narrow AI:\u003C\u002Fstrong> This type of AI is designed to perform specific tasks, such as product recommendations on websites, facial recognition, or playing games.\u003C\u002Fli>\u003Cli>\u003Cstrong>General AI:\u003C\u002Fstrong> This type of AI has the capability to perform a variety of tasks similar to humans. However, there is currently no fully developed General AI.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>AI is applied in various fields, including medicine, finance, agriculture, and transportation.\u003C\u002Fp>\u003Cp>&nbsp;\u003C\u002Fp>\u003Ch2>What is Machine Learning?\u003C\u002Fh2>\u003Cp>Machine Learning (ML) is a branch of AI focused on developing algorithms and techniques that allow machines to learn from data and improve their performance without being explicitly programmed for specific tasks. ML can be categorized into three main types:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Supervised Learning:\u003C\u002Fstrong> Learning from data that includes labeled outcomes, such as classifying emails as spam or not.\u003C\u002Fli>\u003Cli>\u003Cstrong>Unsupervised Learning:\u003C\u002Fstrong> Learning from data without labeled outcomes, such as grouping similar data points.\u003C\u002Fli>\u003Cli>\u003Cstrong>Reinforcement Learning:\u003C\u002Fstrong> Learning through trial and error, where the machine receives rewards or penalties based on its actions.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Machine Learning is used in various applications, such as music recommendations, market trend forecasting, and big data analysis.\u003C\u002Fp>\u003Cp>&nbsp;\u003C\u002Fp>\u003Ch2>How Do AI and Machine Learning Differ?\u003C\u002Fh2>\u003Cp>The differences between AI and Machine Learning can be summarized as follows:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Scope: \u003C\u002Fstrong>AI is a broader concept that encompasses technologies enabling machines to perform tasks requiring intelligence, while Machine Learning is a specific branch of AI focused on learning from data.\u003C\u002Fli>\u003Cli>\u003Cstrong>Functionality: \u003C\u002Fstrong>AI may use methods beyond learning, such as predefined rules, whereas Machine Learning relies on data for learning and development.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Applications: AI can be applied in many forms and methods, while Machine Learning is a technique that enhances AI's ability to learn from data.\u003C\u002Fp>\u003Cp>&nbsp;\u003C\u002Fp>\u003Chr>\u003Cp>&nbsp;\u003C\u002Fp>\u003Cp>In summary, AI and Machine Learning are crucial technologies in the development of modern technology, and understanding the differences between the two will help us apply these technologies more effectively.\u003C\u002Fp>","2_1_rftbdovnlv.webp","https:\u002F\u002Ftwsme-r2.tumwebsme.com\u002Fsclblg987654321\u002Fukb4yigdppi1bai\u002F2_1_rftbdovnlv.webp","2026-03-04 08:50:12.769Z","",{"keywords":15,"locale":33,"school_blog":43},[16,23,28],{"collectionId":17,"collectionName":18,"created":19,"created_by":13,"id":20,"name":21,"updated":22,"updated_by":13},"sclkey987654321","school_keywords","2026-03-04 08:32:16.228Z","16mrh567sgau6wl","technology","2026-04-10 16:07:51.839Z",{"collectionId":17,"collectionName":18,"created":24,"created_by":13,"id":25,"name":26,"updated":27,"updated_by":13},"2026-03-04 08:34:39.884Z","03roett3dmkv7qs","Machine Learning","2026-04-10 16:08:19.753Z",{"collectionId":17,"collectionName":18,"created":29,"created_by":13,"id":30,"name":31,"updated":32,"updated_by":13},"2026-03-04 08:31:29.142Z","hrqdq7kjl5lzjmi","AI","2026-04-10 16:07:41.358Z",{"code":34,"collectionId":35,"collectionName":36,"created":37,"flag":38,"id":39,"is_default":40,"label":41,"updated":42},"en","pbc_1989393366","locales","2026-01-22 11:00:02.726Z","twemoji:flag-united-states","qv9c1llfov2d88z",false,"English","2026-04-10 15:42:46.825Z",{"category":44,"collectionId":45,"collectionName":46,"expand":47,"id":61,"views":62},"pkuzfil3b4ug2ea","pbc_2105096300","school_blogs",{"category":48},{"blogIds":49,"collectionId":50,"collectionName":51,"created":52,"created_by":13,"id":44,"image":53,"image_alt":13,"image_path":54,"label":55,"name":56,"priority":57,"publish_at":58,"scheduled_at":13,"status":59,"updated":60,"updated_by":13},[],"sclcatblg987654321","school_category_blogs","2026-03-04 08:31:47.860Z","3w9eadde0ql_vquww3nx7o.png","https:\u002F\u002Ftwsme-r2.tumwebsme.com\u002Fsclcatblg987654321\u002Fpkuzfil3b4ug2ea\u002F3w9eadde0ql_vquww3nx7o.png",{"en":56,"th":56},"Cutting-Edge Tech",0,"2025-01-27 08:43:38.395Z","published","2026-04-25 02:32:14.847Z","dik17bkfyfccz44",207,"ukb4yigdppi1bai",[20,25,30],"2025-06-02 14:12:18.497Z","This article explains the meanings and differences between AI and Machine Learning, as well as their applications in modern technology.","ai-vs-machine-learning","2026-04-22 07:10:30.708Z",1,{"en":67}]