目前的頂尖科技 -AI 人工智慧

1. 目前的頂尖科技-AI人工智慧 研究者：王俐人 指導老師：賴心茹

2. 一、研究動機 https://img.chinatimes.com/newsphoto/2017-10-19/656/20171019002747.jpg

3. 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data:image/jpeg;base64,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 二、研究目的 1.了解人工智慧的定義 2.瞭解人工智慧的起源及創始者 3.人工智慧的應用及技術 4.人工智慧的優缺點 https://s.aolcdn.com/hss/storage/midas/934d669b0be27b47e14c0c1b0494dd34/205455568/dims-7.jpg

4. 三、文獻探討 什麼是人工智慧？？ https://cdn-images-1.medium.com/max/1200/1*9RZdIqEMhrR6J-EPShP_qQ.jpeg

5. http://news.sciencenet.cn/htmlnews/2011/10/254407.shtm 三、文獻探討-起源 • 組織了達特茅斯研討會 • 被稱人工智慧之父 • 建造了世界上第一台神經網路電腦 馬文·閔斯基(Marvin Lee Minsky) 約翰·麥卡錫(John McCarthy)

6. 三、文獻探討-歷史 https://medium.com/@suipichen/%E4%BA%BA%E5%B7%A5%E6%99%BA%E6%85%A7%E5%A4%A7%E6%AD%B7%E5%8F%B2-ffe46a350543

7. 三、文獻探討-弱與強 弱ai 強ai https://static.appledaily.hk/images/apple-photos/apple/20190216/large/a1101a.gif https://i.ytimg.com/vi/fGVvUZYAWpE/hqdefault.jpg

8. 三、文獻探討-技術 語音識別 知識工程 專家系統 https://briian.com/wp-content/uploads/2016/10/ultimateeartrainer_0.png 影像識別 人工神經網路 https://st2.dephotos.cn/1967477/7090/v/950/depositphotos_70907641-stock-illustration-professor-cartoon-pointing-his-hand.jpg https://tcnn.org.tw/archives/35126 https://cnews.com.tw/wp-content/uploads/%E8%87%AA%E6%8B%8D%E7%85%A7%E7%B5%90%E5%90%88%E7%94%9F%E7%89%A9%E8%BE%A8%E8%AD%98-%E5%8F%96%E4%BB%A3%E5%AF%86%E7%A2%BC%E8%B6%85%E6%96%B9%E4%BE%BF.jpg

9. 三、文獻探討-應用 1.慧眼 2.IBM Deep Blue 3.Amazon 4.AVATAR(海關) 5.Coolso 6.康寧 https://www.apple.com/v/siri/b/images/meta/og_overview.png?201902191403

10. 三、文獻探討-優缺點

11. 三、文獻探討 人類不可被Ai取代的職業(不是被取代而是轉變)：

12. 四、研究結論與建議-結論 1.AI最早起源是從達特茅斯會議時，Ai的創始者是馬文·閔斯基和約翰.麥卡錫 2.機器視覺、自然語言處理、專家系統等方面的發展及其整合的問題，將是未來人工智慧發展的趨勢。

13. 四、研究結論與建議-結論 3.人工智慧常運用在 醫療 生活監控 生產 金融 零售 教育 醫療

14. 四、研究結論與建議-建議 http://books.cw.com.tw/upload_article/201512/article_697_1482236390_1.jpg

15. 研究心得

16. 我的報告到此結束 謝謝大家 https://redbooth.com/blog/thank-you-for-your-business