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_الذكاء الاصطناعي .pdf

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_الذكاء الاصطناعي .pdf

  1. 1. ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ Omar Selim Sunday, 26 Jule 8 PM (GMT+2) BIM Manager & Omar.selm@gmail.com
  2. 2. I am Omar Selim Founder of BIMarabia •BIM Manager •CAD / 3D Visualization •Specialist / CAD Manager / BIM Instructor / Technical Support Manager •Member of IBPSA (International Building Performance Simulation Association),Engineers For a Sustainable Egypt •Research assistant at Qatar University •This experience includes architectural drawings , architectural planning and detailing. Expert user in Revit, NAVISWORKS, AutoCAD and QTO. • I have been working in many projects using BIM technique starting from the Conceptual Design up to Construction documents, this projects include a lot of types, such as Hotels, mixed use building, Hospitals , Mosques, Villas I am here because I love to share Knowledge. You can find me at @BIMarabia 2
  3. 3. :(Robot ) ‫اﻵﻟﻲ‬ ‫اﻹﻧﺳﺎن‬ ) ‫اﻵﻟﻲ‬ ‫اﻹﻧﺴﺎن‬ ‫ﺗﻜﻨﻮﻟﻮﺟﯿﺎ‬ ‫إن‬ ‫ﺗﻜﻨﻮﻟﻮﺟﯿﺎ‬ ‫أﻛﺜﺮ‬ ‫ﻣﻦ‬ ‫ھﻲ‬ (Robotics ‫ﺣﯿﺚ‬ ‫ﻣﻦ‬ ‫ﺗﻘﺪﻣﺎ‬ ‫اﻻﺻﻄﻨﺎﻋﻲ‬ ‫اﻟﺬﻛﺎء‬ ‫ﻛﺎﻣﻠﺔ‬ ‫ﺣﻠﻮﻻ‬ ‫ﻓﯿﮭﺎ‬ ‫ﺗﻘﺪم‬ ‫اﻟﺘﻲ‬ ‫اﻟﺘﻄﺒﯿﻘﺎت‬ ‫أو‬ (Robot ) ‫واﻟﺮﺑﻮرت‬ ‫ﻟﻠﻤﺸﺎﻛﻞ‬ ‫ﻣﯿﻜﺎﻧﯿﻜﯿﺔ‬ ‫آﻟﮫ‬ ‫ﻋﻦ‬ ‫ﻋﺒﺎرة‬ ‫اﻵﻟﻲ‬ ‫اﻹﻧﺴﺎن‬ ‫اﻟﺘﻲ‬ ‫اﻟﻤﮭﺎم‬ ‫ﺑﻌﺾ‬ ‫ﻟﺘﺆدى‬ ‫ﺑﺮﻣﺠﺘﮭﺎ‬ ‫ﯾﻤﻜﻦ‬ ‫ذﻛﺎء‬ ‫ﺑﻨﻔﺲ‬ ‫ﯾﺪوﯾﺎ‬ ‫اﻹﻧﺴﺎن‬ ‫ﺑﮭﺎ‬ ‫ﯾﻘﻮم‬ . ‫اﻻﻧﺴﺎن‬
  4. 4. ‫اﻵﻟﺔ‬ ‫اﻟﻘواﻋد‬ ‫اﻟﺑﯾﺎﻧﺎت‬ ‫اﻹﺟﺎﺑﺎت‬ ‫اﻟﺗﻘﻠﯾدﯾﺔ‬ ‫اﻟﺑرﻣﺟﺔ‬ ‫اﻵﻟﺔ‬ ‫اﻹﺟﺎﺑﺎت‬ ‫اﻟﺑﯾﺎﻧﺎت‬ ‫اﻟﻘواﻋد‬ ‫اﻵﻟﺔ‬ ‫ﺗﻌﻠم‬
  5. 5. Artificial Intelligence‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ھو‬ ‫ﻣﺎ‬ step towards” ‫ﻋﻧوان‬ ‫ﺗﺣت‬ 1961 ‫ﻋﺎم‬ ‫ﻣﻘﺎﻟﺔ‬ ‫ﻛﺗب‬ ‫ﻋﻧدﻣﺎ‬ ‫ﻣﻧﻛﺳﻲ‬ ‫ﻣﺎرﻓن‬ ‫اﻟﻌﺎﻟم‬ ‫إﻟﻰ‬ ‫ﯾرﺟﻊ‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﻣﺻطﻠﺢ‬ . “Artificial intelligence ‫اﻷھداف‬ ‫ﺗﺣﻘﯾق‬ ‫ﻋﻠﻰ‬ ‫اﻟﻘدرة‬ ‫ﯾﻌطﯾﻧﺎ‬ ‫اﻟذي‬ ‫اﻟﺣﺳﺎﺑﻲ‬ ‫اﻟﺟزء‬ ‫اﻋﺗﺑﺎره‬ ‫وﯾﻣﻛن‬ ،‫ﺑدﻗﺔ‬ ‫ﺗﻌرﯾﻔﮫ‬ ‫ﯾﺻﻌب‬ ‫ﻛﻣﻔﮭوم‬ Intelligence ‫واﻟذﻛﺎء‬ .‫اﻟﺗﻌرﯾف‬ ‫ھذا‬ ‫وﻓق‬ ،‫اﻵﻻت‬ ‫وﺑﻌض‬ ‫اﻟﺣﯾواﻧﺎت‬ ‫وﻛذﻟك‬ ،‫اﻟذﻛﺎء‬ ‫ﻣن‬ ‫اﻟدرﺟﺎت‬ ‫ﻣﺧﺗﻠف‬ ‫اﻟﻧﺎس‬ ‫وﻟدى‬ ،‫ﺣوﻟﻧﺎ‬ ‫ﻣن‬ ‫اﻟﻌﺎﻟم‬ ‫ﻓﻲ‬ : ‫وﺗﻌﻠﻣﮭﺎ‬ ‫اﻷﺷﯾﺎء‬ ‫ﻓﮭم‬ ‫ﻋﻠﻰ‬ ‫اﻟﻘدرة‬ : ‫اﻹﻧﺳﺎن‬ ‫ذﻛﺎء‬ ‫اﻟﻣﺳﺎﺋل‬ ‫ﺣل‬ problems Solving ‫اﻹﺑداع‬ Creativity ‫اﻟﺗﺻﻧﯾف‬ Classification ‫اﻷﻧﻣﺎط‬ ‫اﻛﺗﺷﺎف‬ recognition pattern ‫اﻻﺳﺗﻘراء‬ Induction ‫اﻟﺗﻌﻠم‬ Learning (‫)اﻟﻘﯾﺎس‬ ‫اﻟﻘﯾﺎﺳﺎت‬ ‫ﺑﻧﺎء‬ analogies building ‫اﻻﺳﺗﻧﺗﺎج‬ Deduction ‫اﻟطﺑﯾﻌﯾﺔ‬ ‫اﻟﻠﻐﺔ‬ ‫ﻣﻌﺎﻟﺟﺔ‬ processing language ‫اﻷﻣﺛﻠﺔ‬ ،‫اﻟﺗﺣﺳﯾن‬ Optimization ‫أﺧرى‬ ‫ﻛﺛﯾرة‬ ‫وأﻣﺛﻠﺔ‬ ‫اﻟﻣﻌرﻓﺔ‬ more many and knowledge.
  6. 6. ‫؟‬ ‫ذﻛﯾﺔ‬ ‫ﺑﺄﻧﮭﺎ‬ ‫اﻵﻟﺔ‬ ‫ﻋﻠﻰ‬ ‫ﻧطﻠق‬ ‫ﻣﺗﻰ‬ ⚫ Turing test ‫ﺑﺎﺳﺘﺨﺪام‬ ،‫اﻻﻟﺔ‬ ‫ذﻛﺎء‬ ‫ﻣﻦ‬ ‫ﻟﻠﺘﺎﻛﺪ‬ ‫اﺧﺘﺒﺎر‬ ‫ﺗﻮرﻧﺞ‬ ‫اﺑﺘﺪع‬    · ‫و‬ ‫ﻣﻐﻠﻘﺔ‬ ‫ﺣﺠﺮة‬ ‫ﻓﻲ‬ ‫اﻻﻟﺔ‬ ‫وﺿﻊ‬  ‫طﺮﯾﻖ‬ ‫ﻋﻦ‬ ‫ﻣﺘﺼﻼن‬ ‫اﺧﺮى‬ ‫ﻣﻐﻠﻘﺔ‬ ‫ﺣﺠﺮة‬ ‫ﻓﻲ‬ ‫آﺧﺮ‬ ‫إﻧﺴﺎﻧﺎ‬ ‫اﻟﺬي‬ ‫ھﻮ‬ ‫و‬ ، ‫اﻟﺤﻜﻢ‬ ‫ﺑﻐﺮﻓﺔ‬ ‫طﺮﻓﯿﺔ‬ ‫ﺑﻨﮭﺎﯾﺎت‬ ‫و‬ ‫اﻻول‬ ‫اﻻﻧﺴﺎن‬ ‫و‬ ‫ﺑﺎﻻﻟﺔ‬ ‫اﻻﺗﺼﺎل‬ ‫ﯾﺘﻮﻟﻰ‬ ‫و‬ ‫اﻵﻟﺔ‬ ‫ﻣﻦ‬ ‫ﻛﻞ‬ ‫ﻣﻊ‬ ‫ﺣﻮار‬ ‫إدارة‬ ‫اﻟﺤﻜﻢ‬ ‫ﯾﺘﻮﻟﻰ‬ ‫ﻣﻦ‬ ‫ﺗﺤﺪﯾﺪ‬ ‫اﻻﺧﺘﺒﺎر‬ ‫ﻣﻦ‬ ‫واﻟﮭﺪف‬ , ‫اﻹﻧﺴﺎن‬ ‫طﺮح‬ ‫طﺮﯾﻖ‬ ‫ﻋﻦ‬ ‫اﻻﻟﺔ‬ ‫ھﻮ‬ ‫وﻣﻦ‬ ‫اﻟﺮﺟﻞ‬ ‫ھﻮ‬ ‫ﻧﺤﻜﻢ‬ ‫ﺑﯿﻨﮭﻤﺎ‬ ‫اﻟﺘﻔﺮﯾﻖ‬ ‫ﯾﺴﺘﻄﻊ‬ ‫ﻟﻢ‬ ‫ﻓﺎذا‬ ‫اﻻﺳﺌﻠﺔ‬ . ‫ذﻛﯿﺔ‬ ‫ﺑﺄﻧﮭﺎ‬ ‫اﻵﻟﺔ‬ ‫ﻋﻠﻰ‬
  7. 7. ● ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫وﻣﻧذ‬ .‫اﻟﺳﺎﺑﻘﺔ‬ ‫اﻟﺗﺟﺎرب‬ ‫ﻣن‬ ‫واﻻﺳﺗﻔﺎدة‬ ‫واﻻﻛﺗﺷﺎف‬ ،‫اﻟﺗﻔﻛﯾر‬ ‫ﻋﻠﻰ‬ ‫ﻗدرﺗﮫ‬ ‫ﻣﺛل‬ ،‫ﻋﻣﻠﮫ‬ ‫وطرﯾﻘﺔ‬ ‫اﻟﺑﺷري‬ ‫اﻟﻌﻘل‬ ‫ﻣﺣﺎﻛﺎة‬ ‫ﻋﻠﻰ‬ ‫اﻵﻟﺔ‬ ‫ﻗدرة‬ ‫ھو‬ :‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﺗﻌرﯾف‬ ‫ّظرﯾﺎت‬‫ﻧ‬‫ﻟﻠ‬ ‫إﺛﺑﺎﺗﺎت‬ ‫اﻛﺗﺷﺎف‬ ‫ﯾﻣﻛﻧﮫ‬ ‫ﺣﯾث‬ ،‫اﻋﺗﻘدﻧﺎ‬ ‫ّﺎ‬‫ﻣ‬‫ﻣ‬ ً‫ا‬‫ﺗﻌﻘﯾد‬ ‫أﻛﺛر‬ ‫ﺑﻣﮭﻣﺎت‬ ‫اﻟﻘﯾﺎم‬ ‫ﺑﺎﺳﺗطﺎﻋﺗﮫ‬ ‫اﻟﺣﺎﺳوب‬ ‫أنﱠ‬ ‫اﻛﺗﺷﺎف‬ ‫ﱠ‬‫م‬‫ﺗ‬ ،‫اﻟﻌﺷرﯾن‬ ‫اﻟﻘرن‬ ‫ﻣﻧﺗﺻف‬ ‫ﻓﻲ‬ ‫اﻟﺣﺎﺳوب‬ ‫ﺷﮭده‬ ‫اﻟذي‬ ‫ر‬ ّ‫اﻟﺗطو‬ ‫ﻻﯾوﺟد‬ ‫ﻟﻶن‬ ‫ّﮫ‬‫ﻧ‬‫أ‬ ‫إﻻ‬ ‫ﻋﺎﻟﯾﺔ‬ ‫ﺗﺧزﯾﻧﯾﺔ‬ ‫وﺳﻌﺔ‬ ‫اﻟﻣﻌﺎﻟﺟﺔ‬ ‫ﻓﻲ‬ ‫ﺳرﻋﺔ‬ ‫ﻣن‬ ‫اﻟﻛﺛﯾرة‬ ‫ّﺎﺗﮫ‬‫ﯾ‬‫إﯾﺟﺎﺑ‬ ‫ﻣن‬ ‫ﺑﺎﻟرﻏم‬ ،‫ذﻟك‬ ‫وﻣﻊ‬ .‫ﻛﺑﯾرة‬ ‫ﺑﻣﮭﺎرة‬ ‫اﻟﺷطرﻧﺞ‬ ‫ﻟﻌب‬ ‫ﻋﻠﻰ‬ ‫ﻟﻘدرﺗﮫ‬ ‫ﺑﺎﻹﺿﺎﻓﺔ‬ ،‫ّدة‬‫ﻘ‬‫اﻟﻣﻌ‬ ‫ّﺔ‬‫ﯾ‬‫اﻟرﯾﺎﺿ‬ .‫ﻟﮫ‬ ‫ّﻌرض‬‫ﺗ‬‫اﻟ‬ ‫ﯾﺗم‬ ‫ﻟﻣﺎ‬ ‫اﻟﺗﻠﻘﺎﺋﯾﺔ‬ ‫اﻟﯾوﻣﯾﺔ‬ ‫اﻻﺳﺗﻧﺗﺎﺟﺎت‬ ‫ﺗﺗطﻠب‬ ‫اﻟﺗﻲ‬ ‫ﺑﺎﻟﻣﮭﻣﺎت‬ ‫ﺑﻘﯾﺎﻣﮫ‬ ‫ﯾﺗﻌﻠق‬ ‫ﺑﻣﺎ‬ ً‫ﺎ‬‫ﺧﺻوﺻ‬ ‫اﻟﺑﺷري‬ ‫اﻟﻌﻘل‬ ‫ﻣروﻧﺔ‬ ‫ﻣﺟﺎراة‬ ‫ﺑﺎﺳﺗطﺎﻋﺗﮫ‬ ‫ﺑرﻧﺎﻣﺞ‬ ‫أي‬ ‫ﻧﺣن‬ ‫ﻣﺛﻠﻧﺎ‬ ‫اﻟﻣﮭﺎم‬ ‫ﻣن‬ ‫اﻟﻌدﯾد‬ ‫وﺗﻧﻔذ‬ ‫اﻟﻛﻣﺑﯾوﺗر‬ ‫ﺧﺻﺎﺋص‬ ‫ﺗﺳﺗﺧدم‬ ‫ﻣﻌﻘدة‬ ‫آﻻت‬ ‫ﺷﺎﻛﻠﺔ‬ ‫ﻋﻠﻰ‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﺗﺻﻧﯾﻊ‬ ‫ﺗم‬ ‫ﻛﻣﺎ‬ .‫ﺑﺻﻧﺎﻋﺗﮫ‬ ‫اﻹﻧﺳﺎن‬ ‫ﻗﺎم‬ ‫ذﻛﺎء‬ ‫ھو‬ ،‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﺗم‬ ‫ﻟﻘد‬ ،‫ﺑﺎﺧﺗﺻﺎر‬ .‫ﺻﺎﺋﺑﺎ‬ ‫أﻣرا‬ ّ‫د‬‫ﯾﻌ‬ ‫ذﻟك‬ ‫ﻓﺈن‬ ،‫اﻹﻧﺳﺎن‬ ‫ﻣن‬ ‫أﻋﻣق‬ ‫ﺣﺳﯾﺔ‬ ‫ﺑﻘدرة‬ ‫وﺗﺗﻣﺗﻊ‬ ‫اﻟﻔﻌل‬ ‫ﺗرد‬ ‫أﻧﮭﺎ‬ ‫اﻋﺗﺑرﻧﺎ‬ ‫إذا‬ ‫وﻟﻛن‬ ،‫ﻟﻺﻧﺳﺎن‬ ‫ﻣﻣﺎﺛﻠﺔ‬ ‫ﺣواﺳﺎ‬ ‫اﻵﻻت‬ ‫ھذه‬ ‫ﺗﻣﻠك‬ ،‫وﻋﻣوﻣﺎ‬ .‫اﻟﺑﺷر‬ .‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﻋﻠﻰ‬ ‫ﻓﺣﺻﻠﻧﺎ‬ ،‫آﻻت‬ ‫داﺧل‬ ‫اﻟﺑﺷري‬ ‫اﻟذﻛﺎء‬ ‫دﻣﺞ‬ ‫ﻧﺳﺗطﯾﻊ‬ ‫ﻻ‬ ‫ﺑﻣﺎ‬ ‫ﻟﻠﻘﯾﺎم‬ ‫ﺗﺳﺧﯾرھﺎ‬ ‫ﺗم‬ ‫ﻟذﻟك‬ ،‫اﻹﻧﺳﺎن‬ ‫وظﺎﺋف‬ ‫ﻣﻊ‬ ‫اﻟﺗﻘﻧﯾﺎت‬ ‫ھذه‬ ‫وظﺎﺋف‬ ‫وﺗﺗﺷﺎﺑﮫ‬ .‫اﻟﺑﺷرﯾﺔ‬ ‫ﻣﺳﺗﻘﺑل‬ ،‫أﻓﺿل‬ ‫ﺣﯾﺎﺗﻧﺎ‬ ‫ﺳﺗﺟﻌل‬ ‫اﻟﺗﻲ‬ ،‫اﻟﺗﻛﻧوﻟوﺟﯾﺎ‬ ‫ھذه‬ ‫ﺗﺷﻛل‬ ،‫آﺧر‬ ‫ﺑﻣﻌﻧﻰ‬ ‫ﻏرار‬ ‫ﻋﻠﻰ‬ ‫ﻣﻌﯾﻧﺎ‬ ‫ﺟﮭﺎزا‬ ‫ّل‬‫ﻐ‬‫ﯾﺷ‬ ‫ﻛﻣﺑﯾوﺗر‬ ‫إﻧﮫ‬ ‫اﻟﻘول‬ ‫وﯾﻣﻛﻧك‬ .‫ﺧﺻﺎﺋﺻﮫ‬ ‫ﯾﻧﺎﺳب‬ ‫اﻟذي‬ ‫اﻟدﻗﯾق‬ ‫اﻟﺗﻌرﯾف‬ ‫أو‬ ‫اﻟﻣﻧﺎﺳب‬ ‫اﻟﻣﻌﺟم‬ ‫ﻧﺟد‬ ‫ﻓﻠن‬ ،‫اﻟﻣﺻطﻠﺢ‬ ‫ھذا‬ ‫ﺗﻌرﯾف‬ ‫ﺣﺎوﻟﻧﺎ‬ ‫وإذا‬ .‫إﻧﺟﺎزه‬ .‫اﻟﺑﺷري‬ ‫اﻟدﻣﺎغ‬ ."‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﺗﺳﻣﻰ‬ ‫اﻟﺑﺷري‬ ‫اﻟدﻣﺎغ‬ ‫ﻣﺛل‬ ‫واﻟﺗﻔﻛﯾر‬ ‫اﻟﻌﻣل‬ ‫ﻋﻠﻰ‬ ‫اﻵﻻت‬ ‫ﻗدرة‬ ‫"إن‬ ‫ھﻧﺎك‬ ‫ﻷن‬ ‫ﻧظرا‬ ‫اﻵن‬ ‫ﺣﺗﻰ‬ ‫ﻣﻣﻛن‬ ‫ﻏﯾر‬ ‫أﻣر‬ ‫ﺣﯾﺎﺗﻧﺎ‬ ‫ﻓﻲ‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫إدﻣﺎج‬ ‫ﯾﻌﺗﺑر‬ ،‫ذﻟك‬ ‫وﻣﻊ‬ .‫اﻟﺑﺷري‬ ‫اﻟدﻣﺎغ‬ ‫ﻟﺗﺻﻣﯾم‬ ‫ﻣﺷﺎﺑﮫ‬ ‫ﺑﺷﻛل‬ ‫وﯾﺗﻔﺎﻋل‬ ‫وﯾﻌﻣل‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﯾﻔﻛر‬ ‫اﻟذﻛﺎء‬ ‫أﻧظﻣﺔ‬ ‫أﻧواع‬ ‫أھم‬ ‫ﻣن‬ ‫اﻷھﻣﯾﺔ‬ ‫ذات‬ ‫اﻟﺻور‬ ‫ﺗﺻﻧﯾف‬ ‫وﺧدﻣﺔ‬ ‫ﻓﯾﺳﺑوك‬ ‫ﻣوﻗﻊ‬ ‫ﻋﻠﻰ‬ ‫اﻟوﺟوه‬ ‫ﻋﻠﻰ‬ ‫اﻟﺗﻌرف‬ ‫ﻧظﺎم‬ ‫وﯾﻌد‬ .‫وﺻﻔﮭﺎ‬ ‫ﯾﻣﻛن‬ ‫ﻻ‬ ‫اﻟﺗﻲ‬ ‫اﻟﺑﺷري‬ ‫اﻟدﻣﺎغ‬ ‫ﻣﯾزات‬ ‫ﻣن‬ ‫اﻟﻌدﯾد‬ .‫ﯾوﻣﻲ‬ ‫ﺑﺷﻛل‬ ‫ﺗﻌﺗرﺿﻧﺎ‬ ‫اﻟﺗﻲ‬ ،‫اﻷﺧرى‬ ‫اﻷﻣﺛﻠﺔ‬ ‫ﻣن‬ ‫اﻟﻌدﯾد‬ ‫ﻋن‬ ‫ﻓﺿﻼ‬ ،‫اﻻﺻطﻧﺎﻋﻲ‬ .‫ذﻟك‬ ‫إﻟﻰ‬ ‫وﻣﺎ‬ Robo ‫وﻣﺳﺗﺷﺎري‬ ‫اﻟﻘﯾﺎدة‬ ‫ذاﺗﯾﺔ‬ ‫واﻟﺳﯾﺎرات‬ Alexa ‫و‬ Siri ‫ھﻲ‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫ﺑﺎﻟذﻛﺎء‬ ‫اﻟﻣدﻋوﻣﯾن‬ ‫اﻷذﻛﯾﺎء‬ ‫اﻟﻣﺳﺎﻋدﯾن‬ ‫ﻋﻠﻰ‬ ‫اﻷﻣﺛﻠﺔ‬ ‫ﺑﻌض‬ .
  8. 8. ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﻟﺛورة‬ ‫ﻣﺧﺗﺻر‬ ‫ﺗﺎرﯾﺦ‬ ● ‫اﻟﺟزري‬ ‫اﻟرزاز‬ ‫ﺑن‬ ‫إﺳﻣﺎﻋﯾل‬ ‫ﺑن‬ ‫ﺑدﯾﻊ_اﻟزﻣﺎن_أﺑو_اﻟﻌز‬# "‫اﻟﺣﯾل‬ ‫ﺻﻧﺎﻋﺔ‬ ‫ﻓﻲ‬ ‫اﻟﻧﺎﻓﻊ‬ ‫واﻟﻌﻣل‬ ‫اﻟﻌﻠم‬ ‫ﺑﯾن‬ ‫"اﻟﺟﺎﻣﻊ‬ ● . ‫اﻟﻌﻠم‬ ‫ھذا‬ ‫ظﮭور‬ ‫ﺑداﯾﺔ‬ ‫ھﻲ‬ ‫اﻟﺣﺎﺳب‬ ‫ﺑراﻣﺞ‬ ‫ﺗﺧزﯾن‬ ‫ﻋﻠﻰ‬ ‫اﻟﻘدرة‬ ‫ﻟﮭﺎ‬ ‫واﻟﺗﻲ‬ ‫ﺗﯾورﻧﺞ‬ ‫اﻟﺔ‬ ‫ﺗورﻧﻎ‬ ‫آﻻن‬ ‫اﺧﺗراع‬ ● ‫اﻷﻣرﯾﻛﻲ‬ ‫اﻟﻌﺎﻟم‬ ‫ﯾﻌﺗﺑر‬ ‫و‬ . ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫ﺑﺎﻟذﻛﺎء‬ ‫ﺧﺎﺻﺔ‬ ‫ﺑرﻣﺟﺔ‬ ‫ﻟﻐﺔ‬ ‫أول‬ ‫وھﻲ‬ LISP ‫اﻟﻠﯾﺳب‬ ‫ﻟﻐﺔ‬ ‫اﺧﺗراع‬ ‫ﻣن‬ ‫ﻣﺎﻛﺎرﺛﻲ‬ ‫ﺟون‬ ‫ﺗﻣﻛن‬ ‫ﻋﻧدﻣﺎ‬ AI ‫ﻟﻠـ‬ ‫اﻟﺣﻘﯾﻘﺔ‬ ‫اﻟﺑداﯾﺔ‬ the science and engineering of"، ‫ﻋرﻓﮫ‬ ‫وﻗد‬ ،‫م‬١٩٥٦ ‫ﻓﻲ‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﻣﺻطﻠﺢ‬ ‫ﺻك‬ ‫اﻟذي‬ ‫ھو‬ McCarthy John ‫ﻣﺎﻛﺎرﺛﻲ‬ ‫ﺟون‬ ‫اﻟذي‬ ‫اﻟﺣﺎﺳوب‬ ‫ﻋﻠوم‬ ‫ﻓرع‬ ‫ھو‬ ‫أو‬ .‫اﻟذﻛﯾﺔ‬ ‫اﻟﺣﺎﺳوب‬ ‫ﺑراﻣﺞ‬ ‫وﺧﺎﺻﺔ‬ ‫اﻟذﻛﯾﺔ‬ ‫اﻵﻻت‬ ‫وھﻧدﺳﺔ‬ ‫ﺻﻧﺎﻋﺔ‬ ‫ﻋﻠم‬ ‫أو‬ "making intelligent machines .‫اﻟذﻛﯾﺔ‬ ‫اﻵﻻت‬ ‫إﻧﺷﺎء‬ ‫إﻟﻰ‬ ‫ﯾﮭدف‬ ● . ‫ﻓﯾزﻧﺑﺎوم‬ ‫ﺟوزﯾف‬ ‫ﺑواﺳطﺔ‬ “ELIZA” ‫ﺳﻣﻲ‬ ‫اﻟﺷطرﻧﺞ‬ ‫ﻟﻌﺑﺔ‬ ‫ﻛﺗﺎﺑﺔ‬ ‫إﻣﻛﺎﻧﯾﺔ‬ 1960 ‫ﻋﺎم‬ ‫ﺷﮭد‬ ● . ‫اﻟطﺑﯾﻌﯾﺔ‬ ‫اﻟﻠﻐﺎت‬ ‫ﻣﻌﺎﻟﺟﺔ‬ , ‫اﻟﺧﺑﯾرة‬ ‫اﻟﻧظم‬ ‫ﻣﺛل‬ ‫ﺑﮫ‬ ‫اﻟﻣﺗﻌﻠﻘﺔ‬ ‫اﻟﻌﻠوم‬ ‫ﺑﻌض‬ ‫ظﮭرت‬ ‫اﻟﺳﺑﻌﯾﻧﯾﺎت‬ ‫ﻧﮭﺎﯾﺔ‬ ‫ﻓﻲ‬ ● ‫ﻓﻲ‬ ‫اﻟﺷطرﻧﺞ‬ ‫ﻓﻲ‬ ‫اﻟﻌﺎﻟم‬ ‫ﺑطل‬ ‫ﻋﻠﻰ‬ ،‫اﻟﻣﺟﺎل‬ ‫ﻓﻲ‬ ‫اﻟراﺋدة‬ IBM ‫ﺷرﻛﺔ‬ ‫ﺻﻧﺎﻋﺔ‬ ‫ﻣن‬ ‫ﺧﺎرق‬ ‫ﺣﺎﺳوب‬ ‫ﻋن‬ ‫ﻋﺑﺎرة‬ ‫وھو‬ ،Deep Blue ‫ﺑﻠو‬ ‫دﯾب‬ ‫ﻓﺎز‬ ،1997 ‫ﻋﺎم‬ ‫اﻹﻧﺳﺎن؟‬ ‫ﻋﻠﻰ‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﺳﯾﺗﻔوق‬ ‫أﺧرى‬ ‫ﻣﺟﺎﻻت‬ ‫أي‬ ‫ﻓﻲ‬ ،‫ﺳؤاﻻ‬ ‫وطرﺣت‬ ،‫ﻛﺛﯾرﯾن‬ ‫ﻗﻠوب‬ ‫ﻓﻲ‬ ‫اﻟرﻋب‬ ‫أﺛﺎرت‬ ‫ﻣﺑﺎراة‬ ● .‫ﺑﻧﻔﺳﮭﺎ‬ ‫ﻧﻔﺳﮭﺎ‬ ‫ﺗدﯾر‬ ‫اﻟﺷﻛل‬ ‫داﺋرﯾﺔ‬ ‫ﻣﻛﻧﺳﺔ‬ ‫وھو‬ .‫اﻵﻻف‬ ‫ﻟﻣﺋﺎت‬ ‫اﻟﻣﻧزل‬ ‫رﻓﯾق‬ ‫وأﺻﺑﺢ‬ ،Roomba ‫روﻣﺑﺎ‬ ‫اﻵﻟﻲ‬ ‫اﻹﻧﺳﺎن‬ ‫ظﮭر‬ 2002 ‫وﻓﻲ‬ ● ‫ﻓﻲ‬ ‫ﻋﻠﯾﮫ‬ ‫اﻻﻋﺗﻣﺎد‬ ‫اﻟﺷرﻛﺎت‬ ‫ﺗﺳﺗطﯾﻊ‬ ،‫اﺻطﻧﺎﻋﻲ‬ ‫ذﻛﺎء‬ ‫ﻋﻠﻰ‬ ‫ﯾﺣﺗوي‬ ‫ﺣﺎﺳوب‬ ‫وھو‬ ،‫اﻷﺳواق‬ ‫ﻓﻲ‬ ،Watson ‫واطﺳون‬ ‫اﻟﺣﺎﺳوب‬ ،IBM ‫طرﺣت‬ ،2010 ‫وﻓﻲ‬ .‫واﻟﺗوﻗﻌﺎت‬ ‫اﻟﺻﻌﺑﺔ‬ ‫اﻟﻌﻣﻠﯾﺎت‬ ● ‫وﺣواﺳﯾﺑﮭﺎ‬ ‫ھواﺗﻔﮭﺎ‬ ‫ﻛل‬ ‫ﻓﻲ‬ ‫أﺑل‬ ‫اﻟﺗﻛﻧوﻟوﺟﯾﺎ‬ ‫ﻋﻣﻼق‬ ‫أﻟﺣﻘﺗﮫ‬ ‫اﻟذي‬ ،Siri "‫"ﺳﯾري‬ ‫اﻹﻟﻛﺗروﻧﻲ‬ ‫اﻟﻣﺳﺎﻋد‬ ‫ﺧﻼل‬ ‫ﻣن‬ ‫ﻟﻠﻣﺳﺗﺧدﻣﯾن‬ ‫أﻗرب‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫أﺻﺑﺢ‬ ‫ﺛم‬ .2011 ‫ﻋﺎم‬ ‫ﻓﻲ‬ ● .‫اﻟﻣﺗﺣدة‬ ‫ﺑﺎﻟوﻻﯾﺎت‬ ‫أرﯾزوﻧﺎ‬ ‫وﻻﯾﺔ‬ ‫ﻓﻲ‬ 2020 ‫ﻓﻲ‬ ‫أطﻠﻘﺗﮭﺎ‬ ‫واﻟﺗﻲ‬ ،‫ﺳﺎﺋق‬ ‫ﺑﻼ‬ ‫ﺗﺎﻛﺳﻲ‬ ‫ﺧدﻣﺔ‬ ‫أول‬ ‫ﺗﺟرﺑﺔ‬ ‫ﻓﻲ‬ ‫اﻷﻣرﯾﻛﯾﺔ‬Waymo ‫واﯾﻣو‬ ‫ﺷرﻛﺔ‬ ‫ﺑدأت‬ ،2017 ‫ﻓﻲ‬ ● ‫ﺻوﻓﯾﺎ‬ ‫ﺣﺻﻠت‬ ،‫ﺻوﻓﯾﺎ‬ ‫اﻵﻟﯾﺔ‬ ‫أﺷﮭرھم‬ ‫وﻛﺎن‬ ،Humanoid "‫"ھﯾوﻣﺎﻧوﯾد‬ ‫اﻹﻧﺳﺎن‬ ‫ﻟﺷﻛل‬ ‫اﻟﻣﺣﺎﻛﻲ‬ ‫اﻟطراز‬ ‫ﻣن‬ ‫اﻵﻟﯾﯾن‬ ‫ﻣن‬ ‫ﻟﻧوع‬ ‫ﻛﺑﯾرا‬ ‫ﺗطورا‬ ‫ﻧﻔﺳﮫ‬ ‫اﻟﻌﺎم‬ ‫ﺷﮭد‬ .‫ﻋﺎدي‬ ‫ﺑﺷري‬ ‫ﻛﺄي‬ ‫وﺣﻘوق‬ ‫ﻗﺎﻧوﻧﯾﺔ‬ ‫ﺻﻔﺔ‬ ‫ﻋﻠﻰ‬ ‫آﻟﻲ‬ ‫إﻧﺳﺎن‬ ‫ﻓﯾﮫ‬ ‫ﯾﺣﺻل‬ ‫اﻟذي‬ ‫ﻧوﻋﮫ‬ ‫ﻣن‬ ‫اﻷول‬ ‫اﻟﺣدث‬ ‫ھو‬ ‫ھذا‬ ‫ﻟﯾﻛون‬ ،‫اﻟﺳﻌودﯾﺔ‬ ‫اﻟﺟﻧﺳﯾﺔ‬ ‫ﻋﻠﻰ‬ 2017 ‫ﻓﻲ‬ ● ‫اﻟﺟدال‬ ‫ﻋﻠﻰ‬ ‫اﻟﻘدرة‬ ‫ﻟدﯾﮫ‬ ‫ﺣﺎﺳوب‬ ‫وھو‬ ،"‫اﻟﻣﺟﺎدل‬ ‫ﺑـ"ﻣﺷروع‬ ‫ﺳﻣﻲ‬ ‫ﻣﺎ‬ ،IBM ‫ﺷرﻛﺔ‬ ‫أﺻدرت‬ ‫ﺣﯾث‬ ،‫اﻟﺗﺎﻟﯾﺔ‬ ‫اﻟﺳﻧوات‬ ‫ﻓﻲ‬ ‫اﻟﺗطور‬ ‫ﻓﻲ‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫اﺳﺗﻣر‬ .‫اﻟظﮭور‬ ‫ﻓﻲ‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﺻﻧﻊ‬ ‫ﻣن‬ ‫وﻣﻘﺎﻻت‬ ‫ﻓﻧﯾﺔ‬ ‫أﻋﻣﺎل‬ ‫وﺑدأت‬ ،‫اﻟﻣﻧطﻘﯾﺔ‬ ‫اﻟﻘﺿﺎﯾﺎ‬ ‫ﻓﻲ‬ ‫اﻟﺑﺷر‬ ‫ﻣﻊ‬ /https://research.ibm.com/interactive/project-debater
  9. 9. : symbolic representation ‫اﻟرﻣزي‬ ‫اﻟﺗﻣﺛﯾل‬ (1) ‫ﺗﻤﺜﯿﻞ‬ ‫ﺷﻜﻞ‬ ‫ﻣﻦ‬ ‫ﯾﻘﺘﺮب‬ ‫ﺗﻤﺜﯿﻞ‬ ‫ھﻮ‬ ‫و‬ ‫زﻛﯿﺔ‬ ‫راﺋﺤﺔ‬ ‫ﻟﮫ‬ ‫اﻟﻄﻌﺎم‬ ‫و‬ . ‫ﺟﯿﺪة‬ ‫ﺻﺤﺔ‬ ‫ﻓﻲ‬ ‫اﺣﻤﺪ‬ ‫و‬ . ‫اﻟﻮﻗﻮد‬ ‫ﻣﻦ‬ ‫ﺧﺎﻟﯿﺔ‬ ‫اﻟﺴﯿﺎرة‬ ‫و‬ . ‫ﺣﺎر‬ ‫اﻟﯿﻮم‬ ‫اﻟﺠﻮ‬ : ‫ﻣﺜﻞ‬ ‫اﻟﻤﺘﻮﻓﺮة‬ ‫اﻟﻤﻌﻠﻮﻣﺎت‬ ‫ﻋﻦ‬ ‫ﺗﻌﺒﺮ‬ ‫رﻣﻮز‬ ‫ﻣﻊ‬ ‫ﺗﺘﻌﺎﻣﻞ‬ . ‫اﻟﯿﻮﻣﯿﺔ‬ ‫ﺣﯿﺎﺗﮫ‬ ‫ﻓﻲ‬ ‫ﻟﻤﻌﻠﻮﻣﺎﺗﮫ‬ ‫اﻹﻧﺴﺎن‬ Searching : ‫اﻟﺗﺟرﯾﺑﻲ‬ ‫اﻟﺑﺣث‬ (2) ‫ﺑﺘﺸﺨﯿﺺ‬ ‫ﯾﻘﻮم‬ ‫اﻟﺬي‬ ‫اﻟﻄﺒﯿﺐ‬ ‫ﺣﺎل‬ ‫ھﻮ‬ ‫ﻛﻤﺎ‬ ‫اﻟﺘﺠﺮﯾﺒﻲ‬ ‫اﻟﺒﺤﺚ‬ ‫أﺳﻠﻮب‬ ‫ﻓﯿﮭﺎ‬ ‫ﯾﺘﺒﻊ‬ ‫إذ‬ . ‫ﻣﺤﺪدة‬ ‫ﻣﻨﻄﻘﯿﺔ‬ ‫ﻟﺨﻄﻮات‬ ‫ﺗﺒﻌﺎ‬ ‫اﯾﺠﺎدھﺎ‬ ‫ﯾﻤﻜﻦ‬ ‫ﺣﻠﻮل‬ ‫ﻟﮭﺎ‬ ‫ﺗﺘﻮاﻓﺮ‬ ‫ﻻ‬ ‫ﻣﺸﺎﻛﻞ‬ ‫ﻧﺤﻮ‬ ‫اﻻﺻﻄﻨﺎﻋﻲ‬ ‫اﻟﺬﻛﺎء‬ ‫ﺑﺮاﻣﺞ‬ ‫ﺗﺘﻮﺟﮫ‬ ‫ﻋﻠﻰ‬ ‫اﻟﺤﺎل‬ ‫ﯾﻨﻄﺒﻖ‬ ‫و‬ ، ‫اﻟﺤﻞ‬ ‫إﻟﻰ‬ ‫اﻟﻮﺻﻮل‬ ‫ﻣﻦ‬ ‫آھﺎﺗﮫ‬ ‫ﺳﻤﺎع‬ ‫و‬ ‫ﻟﻠﻤﺮﯾﺾ‬ ‫رؤﯾﺘﮫ‬ ‫ﺑﻤﺠﺮد‬ ‫ﯾﺘﻤﻜﻦ‬ ‫ﻟﻦ‬ ‫و‬ ، ‫اﻟﺪﻗﯿﻖ‬ ‫اﻟﺘﺸﺨﯿﺺ‬ ‫إﻟﻰ‬ ‫اﻟﺘﻮﺻﻞ‬ ‫ﻗﺒﻞ‬ ‫اﻻﺣﺘﻤﺎﻻت‬ ‫ﻣﻦ‬ ‫ﻋﺪد‬ ‫اﻟﻄﺒﯿﺐ‬ ‫ھﺬا‬ ‫ﻓﺄﻣﺎم‬ ، ‫ﻟﻠﻤﺮﯾﺾ‬ ‫اﻟﻤﺮض‬ ‫ﻛﻤﺎ‬ ، ‫اﻟﺤﺎﺳﺐ‬ ‫ﻓﻲ‬ ‫ﻛﺒﯿﺮة‬ ‫ﺗﺨﺰﯾﻦ‬ ‫ﺳﻌﺔ‬ ‫ﺗﻮاﻓﺮ‬ ‫ﺿﺮورة‬ ‫إﻟﻰ‬ ‫ﯾﺤﺘﺎج‬ ‫اﻟﺘﺠﺮﯾﺒﻲ‬ ‫اﻟﺒﺤﺚ‬ ‫ﻣﻦ‬ ‫اﻷﺳﻠﻮب‬ ‫ھﺬا‬ ‫و‬ ، ‫ﻣﺘﻌﺪدة‬ ‫اﻓﺘﺮاﺿﺎت‬ ‫و‬ ‫اﺣﺘﻤﺎﻻت‬ ‫ﺑﺚ‬ ‫ﺑﻌﺪ‬ ‫ﯾﺘﻢ‬ ‫اﻟﺘﺎﻟﯿﺔ‬ ‫اﻟﺨﻄﻮة‬ ‫ﺣﺴﺎب‬ ‫ﻓﺎن‬ ، ‫اﻟﺸﻄﺮﻧﺞ‬ ‫ﻻﻋﺐ‬ . ‫دراﺳﺘﮭﺎ‬ ‫و‬ ‫اﻟﻜﺜﯿﺮة‬ ‫اﻻﺣﺘﻤﺎﻻت‬ ‫ﻟﻔﺮض‬ ‫اﻟﮭﺎﻣﺔ‬ ‫اﻟﻌﻮاﻣﻞ‬ ‫ﻣﻦ‬ ‫اﻟﺤﺎﺳﺐ‬ ‫ﺳﺮﻋﺔ‬ ‫ﺗﻌﺘﺒﺮ‬ : knowledge representation KR ‫ﺗﻣﺛﯾﻠﮭﺎ‬ ‫و‬ ‫اﻟﻣﻌرﻓﺔ‬ ‫اﺣﺗﺿﺎن‬ (3 ) ً‫ﻻ‬‫أو‬ ‫ﻓﮭﻤﮭﺎ‬ ‫ﻣﻦ‬ ‫ّﻨﮫ‬‫ﻜ‬‫ﻧﻤ‬ ‫أن‬ ‫ﯾﺠﺐ‬ ،‫ﻣﺸﺎﻛﻠﻨﺎ‬ ‫ﺣﻞ‬ ‫ﻣﻦ‬ ‫اﻟﺤﺎﺳﺐ‬ ‫ّﻦ‬‫ﻜ‬‫ﻟﻨﻤ‬ ‫اﻟﺬﻛﺎء‬ ‫ﺑﺮاﻣﺞ‬ ‫ﻓﺎن‬ ‫اﻟﺤﻠﻮل‬ ‫إﯾﺠﺎد‬ ‫ﻓﻲ‬ ‫اﻟﺘﺠﺮﯾﺒﻲ‬ ‫اﻟﺒﺤﺚ‬ ‫طﺮق‬ ‫اﺗﺒﺎع‬ ‫و‬ ، ‫اﻟﻤﻌﻠﻮﻣﺎت‬ ‫ﻋﻦ‬ ‫اﻟﺘﻌﺒﯿﺮ‬ ‫ﻓﻲ‬  ‫اﻟﺮﻣﺰي‬ ‫اﻟﺘﻤﺜﯿﻞ‬ ‫أﺳﻠﻮب‬ ‫اﺳﺘﺨﺪام‬ ‫اﻻﺻﻄﻨﺎﻋﻲ‬ ‫اﻟﺬﻛﺎء‬ ‫ﺑﺮاﻣﺞ‬ ‫ﻓﻲ‬ ‫اﻟﮭﺎﻣﺔ‬  ‫اﻟﺨﺼﺎﺋﺺ‬ ‫ﻣﻦ‬ ‫ﻛﺎن‬ ‫ﻟﻤﺎ‬ : ‫ذﻟﻚ‬ ‫ﻣﺜﻞ‬ ‫واﻟﻨﺘﺎﺋﺞ‬ ‫اﻟﺤﺎﻻت‬ ‫ﺑﯿﻦ‬ ‫اﻟﺮﺑﻂ‬ ‫ﻋﻠﻰ‬ ‫ﺗﺤﺘﻮي‬ ‫اﻟﻤﻌﺮﻓﺔ‬ ‫ﻣﻦ‬ ‫ﻛﺒﯿﺮة‬ ‫ﻗﺎﻋﺪة‬ ‫ﺑﻨﺎﺋﮭﺎ‬ ‫ﻓﻲ‬ ‫ﺗﻤﺘﻠﻚ‬ ‫أن‬ ‫ﯾﺠﺐ‬ ‫اﻻﺻﻄﻨﺎﻋﻲ‬ : ‫ذﻟﻚ‬ ‫ﻣﺜﺎل‬ ‫و‬ . ‫اﻟﻤﻌﻄﻒ‬ ‫ارﺗﺪاء‬ ‫ﻓﯿﺠﺐ‬ * . ‫ﻣﻨﺨﻔﻀﺔ‬ ‫اﻟﺤﺮارة‬ ‫درﺟﺔ‬ ‫و‬ * . ‫ﺻﺤﻮ‬ ‫ﻏﯿﺮ‬ ‫اﻟﺠﻮ‬ ‫ﻛﺎن‬ ‫إذا‬ * ‫اﻟﻌﻄﻒ‬ ‫ارﺗﺪاء‬ ‫وﺟﻮب‬ ‫ﺑﻤﻌﺮﻓﺔ‬ ‫اﻟﻤﻌﺮﻓﺔ‬ ‫واﺣﺘﻀﺎن‬ ،( ‫ﺻﺤﻮ‬ ‫ﻏﯿﺮ‬ ‫)اﻟﺠﻮ‬ ‫اﻟﺮﻣﺰي‬ ‫اﻟﺘﻤﺜﯿﻞ‬ ‫ﯾﺘﻀﺢ‬ ‫اﻷﻣﺜﻠﺔ‬ ‫ھﺬه‬ ‫ﻓﻲ‬ ‫و‬ uncertain or uncompleted data : ‫اﻟﻣﻛﺗﻣﻠﺔ‬ ‫ﻏﯾر‬ ‫أو‬ ‫اﻟﻣؤﻛدة‬ ‫ﻏﯾر‬ ‫اﻟﺑﯾﺎﻧﺎت‬ (4 ‫اﻟﺤﻠﻮل‬ ‫ﻛﺎﻧﺖ‬ ‫ﻣﮭﻤﺎ‬ ‫ﺣﻠﻮل‬ ‫ﺑﺈﻋﻄﺎء‬ ‫ﺗﻘﻮم‬ ‫أن‬ ‫ذﻟﻚ‬ ‫ﻣﻌﻨﻰ‬ ‫ﻟﯿﺲ‬ ‫و‬ ، ‫ﻣﻜﺘﻤﻠﺔ‬ ‫أو‬ ‫ﻣﺆﻛﺪة‬ ‫ﻏﯿﺮ‬ ‫اﻟﺒﯿﺎﻧﺎت‬ ‫ﻛﺎﻧﺖ‬ ‫إذا‬ ‫ﺣﻠﻮل‬ ‫إﻋﻄﺎء‬ ‫ﻣﻦ‬ ‫ﺗﺘﻤﻜﻦ‬ ‫أن‬ ‫اﻻﺻﻄﻨﺎﻋﻲ‬ ‫اﻟﺬﻛﺎء‬ ‫ﻣﺠﺎل‬ ‫ﻓﻲ‬ ‫ﺗﺼﻤﻢ‬ ‫اﻟﺘﻲ‬ ‫اﻟﺒﺮاﻣﺞ‬ ‫ﻋﻠﻰ‬ ‫ﯾﺠﺐ‬ ‫اﻟﺤﺼﻮل‬ ‫دون‬ ‫اﻟﺤﺎﻻت‬ ‫ﻣﻦ‬ ‫ﺣﺎﻟﺔ‬ ‫ﻋﺮﺿﺖ‬ ‫ﻣﺎ‬ ‫إذا‬ ‫اﻟﻄﺒﯿﺔ‬ ‫اﻟﺒﺮاﻣﺞ‬ ‫ﻓﻔﻲ‬ ، ‫ﻗﺎﺻﺮة‬ ‫ﺗﺼﺒﺢ‬ ‫إﻻ‬ ‫و‬ ‫اﻟﻤﻘﺒﻮﻟﺔ‬ ‫اﻟﺤﻠﻮل‬ ‫إﻋﻄﺎء‬ ‫ﻋﻠﻰ‬ ‫ﻗﺎدرة‬ ‫ﺗﻜﻮن‬ ‫أن‬ ‫اﻟﺠﯿﺪ‬ ‫ﺑﺄداﺋﮭﺎ‬ ‫ﺗﻘﻮم‬ ‫ﻟﻜﻲ‬ ‫ﯾﺠﺐ‬ ‫إﻧﻤﺎ‬ ‫و‬ ، ‫ﺻﺤﯿﺤﺔ‬ ‫أم‬ ‫ﺧﺎطﺌﺔ‬ . ‫اﻟﺤﻠﻮل‬ ‫إﻋﻄﺎء‬ ‫ﻋﻠﻰ‬ ‫اﻟﻘﺪرة‬ ‫ﻋﻠﻰ‬ ‫اﻟﺒﺮﻧﺎﻣﺞ‬ ‫ﯾﺤﺘﻮي‬ ‫أن‬ ‫ﻓﯿﺠﺐ‬ ‫اﻟﻄﺒﯿﺔ‬ ‫اﻟﺘﺤﻠﯿﻼت‬ ‫ﻧﺘﺎﺋﺞ‬ ‫ﻋﻠﻰ‬ ability to learn : ‫اﻟﺗﻌﻠم‬ ‫ﻋﻠﻰ‬ ‫اﻟﻘدرة‬ (5) ‫ﺗﻌﺘﻤﺪ‬ ‫أن‬ ‫ﯾﺠﺐ‬ ‫اﻻﺻﻄﻨﺎﻋﻲ‬ ‫اﻟﺬﻛﺎء‬ ‫ﺑﺮاﻣﺞ‬ ‫ﻓﺎن‬ ‫اﻟﻤﺎﺿﻲ‬ ‫أﺧﻄﺎء‬ ‫ﻣﻦ‬ ‫اﻻﺳﺘﻔﺎدة‬ ‫أو‬ ‫اﻟﻤﻼﺣﻈﺔ‬ ‫طﺮﯾﻖ‬ ‫ﻋﻦ‬ ‫ﯾﺘﻢ‬ ‫اﻟﺒﺸﺮ‬ ‫ﻓﻲ‬ ‫اﻟﺘﻌﻠﻢ‬ ‫أﻛﺎن‬ ‫ﺳﻮاء‬ ‫و‬ ‫اﻟﺬﻛﻲ‬ ‫اﻟﺴﻠﻮك‬ ‫ﻣﻤﯿﺰات‬ ‫إﺣﺪى‬ ‫اﻟﺘﻌﻠﻢ‬ ‫ﻋﻠﻰ‬ ‫اﻟﻘﺪرة‬ ‫ﺗﻌﺘﺒﺮ‬ . ‫اﻵﻟﺔ‬ ‫ﻟﺘﻌﻠﻢ‬ ‫اﺳﺘﺮاﺗﯿﺠﯿﺎت‬ ‫ﻋﻠﻰ‬ :‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﺑراﻣﺞ‬ ‫ﺧﺻﺎﺋص‬
  10. 10. Wéiqí ‫ﻟﻛل‬ ‫ﺣرﻛﺔ‬ 20 ‫ھﻧﺎك‬ ‫اﻟﺷطرﻧﺞ‬ ‫ﻓﻔﻲ‬ ،‫اﻟﺷطرﻧﺞ‬ ‫ﻣن‬ ‫أﺻﻌب‬ ‫ھﻲ‬ ‫ﺑل‬ ،‫اﻟﻌﺎﻟم‬ ‫ﻓﻲ‬ ‫ﻟﻌﺑﺔ‬ ‫أﺻﻌب‬ ‫ﺗﻌد‬ Wéiqí ‫ﺗﺷﻲ‬ ‫وي‬ ‫ﺑﺎﻟﺻﯾﻧﯾﺔ‬ ‫أو‬ ‫ﻏو‬ ‫ﻟﻌﺑﺔ‬ ‫ﻓﻲ‬ 1997 ‫ﺳﻧﺔ‬ ‫ﻛﺎﺳﺑﺎروف‬ ‫ﻏﺎري‬ ‫ﻋﻠﻰ‬ ‫ﺑﻠو‬ ‫دﯾب‬ ‫اﻟﻛﻣﺑﯾوﺗر‬ ‫ﺗﻐﻠب‬ ‫ﻟﻘد‬ ،‫اﻟﻠﻌﺑﺔ‬ ‫ﻓﻲ‬ ‫ﻣوﻗﻊ‬ ‫ﻟﻛل‬ ‫ﺣرﻛﺔ‬ 200 ‫ھﻧﺎك‬ ‫ﻓﺈن‬ ‫ﻏو‬ ‫ﻓﻲ‬ ‫وﻟﻛن‬ ،‫ﻣوﻗﻊ‬ ‫ﻟﻌﺑﺔ‬ ‫أﺻﻌب‬ ‫آﺧر‬ ‫وھﻲ‬ ،‫ﻏو‬ ‫ﻟﻌﺑﺔ‬ ‫ﻓﻲ‬ ‫اﻹﻧﺳﺎن‬ ‫ﻋﻠﻰ‬ ‫اﻟﻛﻣﺑﯾوﺗر‬ ‫ﺗﻐﻠب‬ 2015 ‫ﺳﻧﺔ‬ ‫وﻓﻲ‬ ،1996 ‫ﺳﻧﺔ‬ (‫)اﻟﻛﻣﺑﯾوﺗر‬ ‫ﺧﺳﺎرﺗﮫ‬ ‫ﺑﻌد‬ ‫اﻟﺷطرﻧﺞ‬ .‫ﻟﻌﺑﮭﺎ‬ ‫ﻋﻠﻰ‬ ‫ﺑﻘدرﺗﮫ‬ ‫اﻹﻧﺳﺎن‬ ‫ﯾﺗﻣﯾز‬
  11. 11. 1 ‫ق‬‫ﯾ‬‫ﺿ‬‫ﻟ‬‫ا‬ ‫ﻲ‬‫ﻋ‬‫ﺎ‬‫ﻧ‬‫ط‬‫ﺻ‬‫ﻻ‬‫ا‬ ‫ء‬‫ﺎ‬‫ﻛ‬‫ذ‬‫ﻟ‬‫ا‬ ‫ص‬‫ﺻ‬‫ﺧ‬‫ﺗ‬‫ﯾ‬ ‫ي‬‫ذ‬‫ﻟ‬‫ا‬ ‫ﻲ‬‫ﻋ‬‫ﺎ‬‫ﻧ‬‫ط‬‫ﺻ‬‫ﻻ‬‫ا‬ ‫ء‬‫ﺎ‬‫ﻛ‬‫ذ‬‫ﻟ‬‫ا‬ ‫و‬‫ھ‬‫و‬ ‫د‬‫ﺣ‬‫ا‬‫و‬ ‫ل‬‫ﺎ‬‫ﺟ‬‫ﻣ‬ ‫ﻲ‬‫ﻓ‬ 2 ‫م‬‫ﺎ‬‫ﻌ‬‫ﻟ‬‫ا‬ ‫ﻲ‬‫ﻋ‬‫ﺎ‬‫ﻧ‬‫ط‬‫ﺻ‬‫ﻻ‬‫ا‬ ‫ء‬‫ﺎ‬‫ﻛ‬‫ذ‬‫ﻟ‬‫ا‬ ‫ﺔ‬‫ﯾ‬‫ر‬‫ﻛ‬‫ﻓ‬ ‫ﺔ‬‫ﻣ‬‫ﮭ‬‫ﻣ‬ ‫ي‬‫أ‬ ‫ﺔ‬‫ﯾ‬‫د‬‫ﺄ‬‫ﺗ‬ ‫ﮫ‬‫ﻧ‬‫ﻛ‬‫ﻣ‬‫ﯾ‬ ‫ﺎ‬‫ﮭ‬‫ﺑ‬ ‫م‬‫ﺎ‬‫ﯾ‬‫ﻘ‬‫ﻟ‬‫ا‬ ‫ن‬‫ﺎ‬‫ﺳ‬‫ﻧ‬‫ﻺ‬‫ﻟ‬ ‫ن‬‫ﻛ‬‫ﻣ‬‫ﯾ‬ 3 ‫ق‬‫ﺋ‬‫ﺎ‬‫ﻔ‬‫ﻟ‬‫ا‬ ‫ﻲ‬‫ﻋ‬‫ﺎ‬‫ﻧ‬‫ط‬‫ﺻ‬‫ﻻ‬‫ا‬ ‫ء‬‫ﺎ‬‫ﻛ‬‫ذ‬‫ﻟ‬‫ا‬ ‫ل‬‫و‬‫ﻘ‬‫ﻌ‬‫ﻟ‬‫ا‬ ‫ل‬‫ﺿ‬‫ﻓ‬‫أ‬ ‫ن‬‫ﻣ‬ ‫ر‬‫ﯾ‬‫ﺛ‬‫ﻛ‬‫ﺑ‬ ‫ﻰ‬‫ﻛ‬‫ذ‬‫أ‬ ‫ر‬‫ﻛ‬‫ﻓ‬ ‫ﺎ‬‫ﺑ‬‫ﯾ‬‫ر‬‫ﻘ‬‫ﺗ‬ ‫ل‬‫ﺎ‬‫ﺟ‬‫ﻣ‬ ‫ل‬‫ﻛ‬ ‫ﻲ‬‫ﻓ‬ ‫ﺔ‬‫ﯾ‬‫ر‬‫ﺷ‬‫ﺑ‬‫ﻟ‬‫ا‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫أﻧواع‬
  12. 12. ،Machine Learning ‫اﻵﻟﺔ‬ ‫ﱡم‬‫ﻠ‬‫ﺗﻌ‬ ‫ﻋﻠﻰ‬ ‫اﻟﻘﺎﺋﻣﺔ‬ (AL) ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﻋﻠم‬ ‫ﻋن‬ ‫اﻟﻣﻧﺑﺛﻘﺔ‬ ‫اﻟﻔروع‬ ‫أﺣد‬ ‫ﺑﺄﻧﮫ‬ ‫اﻵﻟﺔ‬ ‫ﱡم‬‫ﻠ‬‫ﺗﻌ‬ ‫ﻣﻔﮭوم‬ ‫ﺗﺑﺳﯾط‬ ‫ﯾﻣﻛن‬ ،ML ‫ﺑـ‬ ‫ا‬ً‫اﺧﺗﺻﺎر‬ ‫ﻟﮫ‬ ‫ُﺷﺎر‬‫ﯾ‬‫و‬ ‫اﻟﻣﺗوﻓرة‬ ‫اﻟﺑﯾﺎﻧﺎت‬ ‫ﻋﻠﻰ‬ ‫ﺑﺎﻻﻋﺗﻣﺎد‬ ‫إﻟﯾﮭﺎ‬ ‫اﻟﻣوﻛوﻟﺔ‬ ‫اﻷواﻣر‬ ‫وﺗﻧﻔﯾذ‬ ‫اﻟﻣﮭﺎم‬ ‫أداء‬ ‫ﻋﻠﻰ‬ ‫ﻗﺎدرة‬ ‫ﻟﺗﺻﺑﺢ‬ ‫أﺷﻛﺎﻟﮭﺎ‬ ‫ﺑﻣﺧﺗﻠف‬ ‫اﻟﺣواﺳﯾب‬ ‫ﺑرﻣﺟﺔ‬ ‫راﺋد‬ ‫ﻣن‬ ٍ‫ﺑﺈﯾﻌﺎز‬ ‫ظﮭر‬ ‫ﻗد‬ ‫اﻵﻟﺔ‬ ‫ﺗﻌﻠم‬ ‫ﻣﺻطﻠﺢ‬ ‫أن‬ ‫إﻟﻰ‬ ‫وﯾﺷﺎر‬ .‫ًﺎ‬‫ﻣ‬‫ﺗﻣﺎ‬ ‫ﺗﻐﯾﯾﺑﮫ‬ ‫أو‬ ‫ﺗوﺟﯾﮭﮭﺎ‬ ‫ﻓﻲ‬ ‫اﻟﺑﺷري‬ ‫اﻟﺗدﺧل‬ ‫ﺗﻘﯾﯾد‬ ‫ﻣﻊ‬ ‫وﺗﺣﻠﯾﻠﮭﺎ‬ ‫ﻟدﯾﮭﺎ‬ ‫ﻓﻲ‬ ‫اﻵﻟﺔ‬ ‫ﻓﺈن‬ ‫ﺑﺎﻟذﻛر‬ ِ‫اﻟﺟدﯾر‬ ‫وﻣن‬ ،IBM ‫ﻣﺧﺗﺑرات‬ ‫ﻋﻣل‬ ِ‫ﻧطﺎق‬ ‫ﺿﻣن‬ 1959 ‫ﺳﻧﺔ‬ ‫ﻓﻲ‬ Arthur Samuel ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫اﻟﻌﻧﺻر‬ ‫دور‬ ‫ﻓﯾﻛون‬ ،‫ﻣﻧﮭﺎ‬ ‫اﻟﻣطﻠوﺑﺔ‬ ‫واﻟﻣﮭﺎم‬ ‫اﻷواﻣر‬ ‫ﻟﻣواﺟﮭﺔ‬ ‫ًﺎ‬‫ﻘ‬‫ﻣﺳﺑ‬ ‫إﻟﯾﮭﺎ‬ ‫اﻟﻣدﺧﻠﺔ‬ ‫اﻟﺑﯾﺎﻧﺎت‬ ‫ﺗﺣﻠﯾل‬ ‫ﻋﻠﻰ‬ ‫ﺗﻌﺗﻣد‬ ‫أن‬ ‫ﯾﺟب‬ ‫اﻟﺣﺎﻟﺔ‬ ‫ھذه‬ .‫اﻟﻣطﺎف‬ ‫ﻧﮭﺎﯾﺔ‬ ‫ﻓﻲ‬ ‫ًا‬‫د‬‫ﺟ‬ ً ‫ﺿﺋﯾﻼ‬ ‫اﻟﺑﺷري‬ ‫ﻟﻶﻻت‬ ‫ﯾﻣﻛن‬ ،‫اﻟواﻗﻊ‬ ‫وﻓﻲ‬ .‫دﻗﯾق‬ ‫ﻏﯾر‬ ‫اﻻﻋﺗﻘﺎد‬ ‫ھذا‬ ‫أن‬ ‫إﻻ‬ ،‫اﺻطﻧﺎﻋﯾﺎ‬ ‫ذﻛﺎء‬ ‫اﻵﻟﻲ‬ ‫اﻟﺗﻌﻠم‬ ‫ﯾﻌﺗﺑرون‬ ‫اﻟﻧﺎس‬ ‫ﻣﻌظم‬ ‫أن‬ ‫ﻣن‬ ‫اﻟرﻏم‬ ‫وﻋﻠﻰ‬ .‫ﻟﮭﺎ‬ ‫اﻟﻣﻘدﻣﺔ‬ ‫اﻟﺑﯾﺎﻧﺎت‬ ‫ﻣن‬ ‫ﺗﺗﻌﻠم‬ ‫أن‬ ‫ﻟﻠروﺑوﺗﺎت‬ ‫ﯾﻣﻛن‬ ‫ﻛﻣﺎ‬ ،‫ﺗﺗﻌﻠم‬ ‫أن‬ ‫ﺛم‬ ‫واﻟﺗﻌﻠم‬ ‫اﻟﺑﯾﺎﻧﺎت‬ ‫ﻋﻠﻰ‬ ‫ﻟﻠﺣﺻول‬ ‫اﻟﺧوارزﻣﯾﺎت‬ ‫ﺗﺳﺗﺧدم‬ ‫ﺣﯾث‬ ،‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫وﺟود‬ ‫ﻧدرك‬ ‫ﺗﺟﻌﻠﻧﺎ‬ ‫ﺗﻘﻧﯾﺔ‬ ‫إﯾﺟﺎد‬ ‫ﺗم‬ ،‫اﻟﺣﻘﯾﻘﺔ‬ ‫ﻓﻲ‬ ‫أو‬ ‫ﺟوﺟل‬ ‫أو‬ ‫اﻟﺗﺳوق‬ ‫ﻣواﻗﻊ‬ ‫ﻣن‬ ‫ﺗوﺻﯾﺔ‬ ‫ﻋﻠﻰ‬ ‫ﺣﺻوﻟك‬ ‫ﻋﻧد‬ ‫ﯾﺗﺟﻠﻰ‬ ‫ذﻟك‬ ‫أن‬ ‫ﺑﺎﻟذﻛر‬ ‫واﻟﺟدﯾر‬ .‫ﺗﻧﺑؤات‬ ‫ﺷﻛل‬ ‫ﻋﻠﻰ‬ ‫اﻟﻧﺗﺎﺋﺞ‬ ‫ﻟﺗﺄﺗﻲ‬ ،‫اﻟﺗﺣﻠﯾل‬ ‫ﺗطوﯾرھﺎ‬ ‫ﺗم‬ ‫اﻟﺗﻲ‬ ‫اﻵﻟﻲ‬ ‫اﻟﺗﻌﻠم‬ ‫ﺧوارزﻣﯾﺎت‬ ‫ﺑﺎﺳﺗﺧدام‬ ‫ذﻟك‬ ‫ﯾﺗم‬ ‫ﻛﻣﺎ‬ .‫اھﺗﻣﺎﻣﺎﺗك‬ ‫ﻣﻊ‬ ‫ﺗﺗواﻓق‬ ‫اﻗﺗراﺣﺎت‬ ‫ﻋﻠﻰ‬ ‫اﻟﺣﺻول‬ ‫ﯾﻣﻛﻧك‬ ‫إذ‬ ،‫ﻓﯾﺳﺑوك‬ ‫ﻗطﺎﻋﻲ‬ ‫ﻋﻠﻰ‬ ‫ًﺎ‬‫ﺿ‬‫أﯾ‬ ‫ﺗؤﺛر‬ ‫اﻟﺗﻘﻧﯾﺔ‬ ‫ھذه‬ ‫ﺑﺎن‬ ‫اﻟﺗﻧوﯾﮫ‬ ‫ﻣن‬ ‫ﺑد‬ ‫وﻻ‬ .‫اﻷﺧرى‬ ‫اﻟﻣﻌﻠوﻣﺎت‬ ‫ﻣن‬ ‫واﻟﻌدﯾد‬ ‫واﻟﺗﺎرﯾﺦ‬ ‫اﻟﺣدﯾﺛﺔ‬ ‫اﻟﺑﺣث‬ ‫ﻋﻣﻠﯾﺎت‬ ‫ﻟﺗﺣﻠﯾل‬ .‫واﻟﺑﻧوك‬ ‫اﻟﺗﺳوﯾق‬ ."‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﯾﺟﺳد‬ ‫ﻛﻣﺎ‬ ،‫اﻟﺑﯾﺎﻧﺎت‬ ‫ﺗﺣﻠﯾل‬ ‫ﻣن‬ ‫اﻟﺗﻌﻠم‬ ‫ﻋﻠﻰ‬ ‫اﻵﻻت‬ ‫ﻗدرة‬ ‫اﻵﻟﻲ‬ ‫اﻟﺗﻌﻠم‬ ‫"ﯾﺷﻛل‬ ‫ًا‬‫ء‬‫ﺟز‬ ‫اﻟراھن‬ ‫اﻟوﻗت‬ ‫ﻓﻲ‬ ‫أﺻﺑﺣت‬ ‫ﻟﻛﻧﮭﺎ‬ ،‫اﻷﺳﺎﺳﯾﺔ‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﻣﻘوﻣﺎت‬ ‫ﻋﻠﻰ‬ ‫اﻟﺟدﯾدة‬ ‫اﻵﻟﻲ‬ ‫اﻟﺗﻌﻠم‬ ‫ﺧوارزﻣﯾﺎت‬ ‫اﻗﺗﺻرت‬ ‫ﻓﻲ‬ ‫ﻧﻘﻠﺔ‬ ‫اﻵﻟﻲ‬ ‫اﻟﺗﻌﻠم‬ ‫ﺣﻘق‬ ‫ﻓﻘد‬ .‫أﻓﺿل‬ ‫ﺗﺟرﺑﺔ‬ ‫اﻟﻣﺳﺗﺧدﻣﯾن‬ ‫ﻟﻣﻧﺢ‬ ‫اﻟﻣﻌﻘدة‬ ‫اﻟﺧوارزﻣﯾﺎت‬ ‫ﻣن‬ ‫اﻟﻌدﯾد‬ ‫اﺑﺗﻛﺎر‬ ‫وﯾﺗم‬ .‫اﻟﻧظﺎم‬ ‫ھذا‬ ‫ﻣن‬ ‫ﺟوھرﯾﺎ‬ ‫اﻟوﯾب‬ ‫ﻗﻧوات‬ ‫ﻋﻠﻰ‬ ‫ﻟﻣﺷﺎھدﯾﮭﺎ‬ ‫ﻣﻧﺎﺳﺑﺔ‬ ‫اﻗﺗراﺣﺎت‬ ‫ﻟﺗﻘدﯾم‬ ‫اﻟﺧوارزﻣﯾﺔ‬ ‫ھذه‬ ‫اﻟﺗرﻓﯾﮫ‬ ‫ﺻﻧﺎﻋﺔ‬ ‫وﺗﺳﺗﺧدم‬ .‫واﻷﻓﻼم‬ ‫اﻟﻌروض‬ ‫ﻣﺷﺎھدة‬ ‫طرﯾﻘﺔ‬ ‫ﺗﻠك‬ ‫ﻣن‬ ‫اﻟﺗﻌﻠم‬ ‫إﻟﻰ‬ ‫ﺗﺳﺗﻧد‬ ‫ﻣﻣﺗﺎزة‬ ‫ﺗوﺻﯾﺎت‬ ‫وﯾﻘدم‬ ‫اﻟﺑﯾﺎﻧﺎت‬ ‫اﻵﻟﻲ‬ ‫اﻟﺗﻌﻠم‬ ‫ﯾﺣﻠل‬ ،‫ذﻟك‬ ‫ﻋن‬ ‫ﻓﺿﻼ‬ ."‫ﺑراﯾم‬ ‫و"أﻣﺎزون‬ "‫"ﻧﯾﺗﻔﻠﯾﻛس‬ ‫ﻣﺛل‬
  13. 13. (Deep Learning) ‫اﻟﻌﻣﯾق‬ ‫ّم‬‫ﻠ‬‫اﻟﺗﻌ‬ ‫أو‬ ‫ّق‬‫ﻣ‬‫ُﺗﻌ‬‫ﻣ‬‫اﻟ‬ ‫ّم‬‫ﻠ‬‫اﻟﺗﻌ‬ ‫ﻣﺣﺎﻛﺎة‬ ‫طرﯾق‬ ‫ﻋن‬ ‫ﺑﻧﻔﺳﮭﺎ‬ ‫ﺗﺗﻌﻠم‬ ‫أن‬ ‫ﻟﻶﻟﺔ‬ ‫ﺗﺗﯾﺢ‬ ‫وﺧوارزﻣﯾﺎت‬ ‫ﻧظرﯾﺎت‬ ‫إﯾﺟﺎد‬ ‫ﯾﺗﻧﺎول‬ ‫ﺟدﯾد‬ ‫ﺑﺣث‬ ‫ﻣﺟﺎل‬ ‫ھو‬ ‫ﻓروع‬ ‫ﻣن‬ ‫ﻓرع‬ ‫ُﯾﻌد‬ ،‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﻋﻠوم‬ ‫ﺗﺗﻧﺎول‬ ‫اﻟﺗﻲ‬ ‫اﻟﻌﻠوم‬ ‫ﻓروع‬ ‫أﺣد‬ ‫و‬ ،‫اﻹﻧﺳﺎن‬ ‫ﺟﺳم‬ ‫ﻓﻲ‬ ‫اﻟﻌﺻﺑﯾﺔ‬ ‫اﻟﺧﻼﯾﺎ‬ ‫ﺑﺗﺣﻠﯾل‬ ‫اﻟﻣﺗﺟردات‬ ‫ﻣن‬ ‫ﻋﺎﻟﯾﺔ‬ ‫درﺟﺔ‬ ‫اﺳﺗﻧﺑﺎط‬ ‫أﺳﺎﻟﯾب‬ ‫إﯾﺟﺎد‬ ‫ﻋﻠﻰ‬ ‫اﻟﻣﺗﻌﻣق‬ ‫اﻟﺗﻌﻠم‬ ‫أﺑﺣﺎث‬ ‫ﻣﻌظم‬ ‫ﺗرﻛز‬ ،‫اﻵﻟﻲ‬ ‫اﻟﺗﻌﻠم‬ ‫ﻋﻠوم‬ .‫ﺧطﯾﺔ‬ ‫وﻏﯾر‬ ‫ﺧطﯾﺔ‬ ‫ﻣﺗﺣوﻻت‬ ‫ﺑﺎﺳﺗﺧدام‬ ‫ﺿﺧﻣﺔ‬ ‫ﺑﯾﺎﻧﺎت‬ ‫ﻣﺟﻣوﻋﺔ‬ ‫اﻟﺗﻌﻠم‬ ‫أﻧظﻣﺔ‬ ‫ﻣن‬ ‫ﻓرﻋﯾﺔ‬ ‫ﻣﺟﻣوﻋﺔ‬ ‫ﻣن‬ ‫اﻟﻌﻣﯾق‬ ‫اﻟﺗﻌﻠم‬ ‫ﯾﺗﻛون‬ ،‫اﻟواﻗﻊ‬ ‫وﻓﻲ‬ .‫اﻵﻟﻲ‬ ‫اﻟﺗﻌﻠم‬ ‫ﻧظﺎم‬ ‫ﺗﻧﻔﯾذ‬ ‫ﻓﻲ‬ ‫اﻟﻌﻣﯾق‬ ‫اﻟﺗﻌﻠم‬ ‫ﯾﺗﺟﺳد‬ ‫ﻓﻲ‬ ‫اﻵﻟﻲ‬ ‫اﻟﺗﻌﻠم‬ ‫ﻧظﺎم‬ ‫اﻟﺗﻘﻧﯾﺔ‬ ‫ھذه‬ ‫وﺗﺷﺑﮫ‬ .‫اﻵﻻت‬ ‫ﺗﻣﻠﻛﮭﺎ‬ ‫اﻟﺗﻲ‬ ‫اﻟﺗﺷﻐﯾل‬ ‫ﻗدرات‬ ‫ﺗﺷﻛل‬ ‫اﻟﺗﻲ‬ ،‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﻣن‬ ‫أو‬ ،‫اﻵﻟﻲ‬ ‫اﻟﺗﻌﻠم‬ ‫ﯾﺳﺗطﯾﻊ‬ ‫ﺣﯾن‬ ‫ﻓﻲ‬ ،‫اﻟﻣﮭﻣﺔ‬ ‫ﻷداء‬ ‫اﻟﺗوﺟﯾﮭﺎت‬ ‫ﺑﻌض‬ ‫إﻟﻰ‬ ‫ﯾﺣﺗﺎج‬ ‫اﻵﻟﻲ‬ ‫اﻟﺗﻌﻠم‬ ‫أن‬ ‫ﻓﻲ‬ ‫اﻟﻔرق‬ ‫ﯾﻛﻣن‬ ‫وﻟﻛن‬ ،‫اﻟﺳﯾﺎﻗﺎت‬ ‫ﺑﻌض‬ ‫اﺳﺗﺧﻼص‬ ‫ﯾﻛﻣن‬ ‫ﺣﯾث‬ ،‫اﻟﻣﺳﺗﺧدﻣﯾن‬ ‫ﺧﺑرة‬ ‫اﻟﻌﻣﯾق‬ ‫اﻟﺗﻌﻠم‬ ‫ﻋزز‬ ،‫ذﻟك‬ ‫إﻟﻰ‬ ‫ﺑﺎﻹﺿﺎﻓﺔ‬ .‫اﻟﻣﺑرﻣﺞ‬ ‫ﺗدﺧل‬ ‫دون‬ ‫اﻟﻣﮭﻣﺔ‬ ‫أداء‬ ‫اﻟﻌﻣﯾق‬ .‫اﻷوﺗوﻣﺎﺗﯾﻛﯾﺔ‬ ‫اﻟﺳﯾﺎرة‬ ‫ﺧﺎﺻﯾﺎت‬ ‫ﺧﻼل‬ ‫ﻣن‬ ‫اﻟﻌﻣﯾق‬ ‫ﻟﻠﺗﻌﻠم‬ ‫ﻧﻣوذج‬ ‫أﻓﺿل‬ ."‫اﻟﻌﻣﯾق‬ ‫ﺑﺎﻟﺗﻌﻠم‬ ‫اﻵﻟﻲ‬ ‫اﻟﺗﻌﻠم‬ ‫ﻟﺗﻧﻔﯾذ‬ ‫اﻟﻣﺳﺗﺧدﻣﺔ‬ ‫اﻟﺗﻘﻧﯾﺔ‬ ‫"ﺗﻌرف‬ ‫إﺻﻼح‬ ‫اﻟﻣﺑرﻣﺟﯾن‬ ‫ﻋﻠﻰ‬ ‫ﯾﻧﺑﻐﻲ‬ ،‫اﻵﻟﻲ‬ ‫اﻟﺗﻌﻠم‬ ‫ﻧظﺎم‬ ‫ﻣﻊ‬ ‫اﻟﺗﻌﺎﻣل‬ ‫وﻋﻧد‬ .‫اﻟﺑﺷر‬ ‫ﻣﺛل‬ ‫وﺗﻔﻛر‬ ‫ﺗﻌﻣل‬ ‫اﻵﻻت‬ ‫اﻟﻌﻣﯾق‬ ‫اﻟﺗﻌﻠم‬ ‫ﺟﻌل‬ ‫اﻟﻌﻘل‬ ‫ﻣﺛل‬ ‫ًﺎ‬‫ﻣ‬‫ﺗﻣﺎ‬ ،‫ﺑﻧﻔﺳﮭﺎ‬ ‫ﺑذﻟك‬ ‫ﺗﺗﻛﻔل‬ ‫ﻓﺈﻧﮭﺎ‬ ،‫اﻟﻌﻣﯾق‬ ‫اﻟﺗﻌﻠم‬ ‫ﻟﻧﻣﺎذج‬ ‫ﺑﺎﻟﻧﺳﺑﺔ‬ ‫ﻟﻛن‬ ،‫ﻣﻧﺎﺳﺑﺔ‬ ‫ﻏﯾر‬ ‫اﻟﻧﺗﺎﺋﺞ‬ ‫ﻛﺎﻧت‬ ‫ﻣﺎ‬ ‫إذا‬ ‫اﻟﺧوارزﻣﯾﺔ‬ .‫اﻟﺑﺷري‬ ‫اﻵﻟﻲ‬ ‫اﻟﺗﻌﻠم‬ ‫ﺧوارزﻣﯾﺔ‬ ‫ﺳﺗﻘوم‬ ‫ذﻟك‬ ‫ﻋﻧد‬ ،"‫"اﺷﺗﻐل‬ ‫ﺑﻛﻠﻣﺔ‬ ‫اﻟﻣﺷﻐل‬ ‫ﯾﻧطق‬ ‫ﻋﻧدﻣﺎ‬ ‫ﻟﯾﻧطﻠق‬ ‫ﻟﻠﻣروﺣﺔ‬ ‫رﻣز‬ ‫ﺑﺿﺑط‬ ‫ﻗﻣت‬ ‫أﻧك‬ ‫ﺗﺧﯾل‬ ‫ﺣﺗﻰ‬ ‫اﻟﻣروﺣﺔ‬ ‫ﺗﻌﻣل‬ ‫ﻓﻠن‬ ،‫اﻟدﻗﯾﻘﺔ‬ ‫اﻟﻛﻠﻣﺔ‬ ‫ﻋﻠﻰ‬ ‫ﺗﺣﺻل‬ ‫ﻟم‬ ‫وإذا‬ ."‫"اﺷﺗﻐل‬ ‫ﻛﻠﻣﺔ‬ ‫ﻋن‬ ‫واﻟﺑﺣث‬ ‫ﺑﺄﻛﻣﻠﮭﺎ‬ ‫اﻟﻣﺣﺎدﺛﺔ‬ ‫إﻟﻰ‬ ‫ﺑﺎﻻﺳﺗﻣﺎع‬ ‫ﻟدرﺟﺔ‬ ‫ًا‬‫د‬‫ﺟ‬ ‫ﺳﺎﺧﻧﺔ‬ ‫"اﻟﻐرﻓﺔ‬ :‫ﻗﻠت‬ ‫ﻟو‬ ‫ﺣﺗﻰ‬ ‫اﻟﻣروﺣﺔ‬ ‫اﻟﻌﻣﯾق‬ ‫اﻟﺗﻌﻠم‬ ‫ﻧﻣوذج‬ ‫ﺳﯾﺷﻐل‬ ،‫أﺧرى‬ ‫ﻧﺎﺣﯾﺔ‬ ‫ﻣن‬ .‫ذﻟك‬ ‫ﺗرﯾد‬ ‫ﻛﻧت‬ ‫إذا‬ ‫ﻧﻔﺳﮫ‬ ‫اﻟﻌﻣﯾق‬ ‫اﻟﺗﻌﻠم‬ ‫ﯾﻠﻘن‬ ‫أن‬ ‫ﯾﻣﻛن‬ ‫إذ‬ ،‫ﻣﺧﺗﻠﻔﯾن‬ ‫اﻟﻧظﺎﻣﯾن‬ ‫ﻛﻼ‬ ‫اﻷﺳﺎﺳﯾﺔ‬ ‫اﻟﻧﻘﺎط‬ ‫ھذه‬ ‫ﺗﺟﻌل‬ ،‫اﻟﻌﻣوم‬ ‫وﻋﻠﻰ‬ ."‫ﻓﯾﮭﺎ‬ ‫اﻟﺑﻘﺎء‬ ‫ﯾﺻﻌب‬ .‫ﻣﺣدد‬ ‫ﺑرﻧﺎﻣﺞ‬ ‫ﺑواﺳطﺔ‬ ‫ﺗﺷﻐﯾﻠﮫ‬ ‫إﻟﻰ‬ ‫اﻵﻟﻲ‬ ‫اﻟﺗﻌﻠم‬ ‫ﯾﺣﺗﺎج‬ ‫ﺑﯾﻧﻣﺎ‬ ،‫ﺑﻧﻔﺳﮫ‬ https://www.naftaliharris.com/ blog/visualizing-dbscan-clust ering/ https://www.youtube.com/wat ch?v=Lu56xVlZ40M https://www.youtube.com/wat ch?v=CqYKhbyHFtA
  14. 14. ‫رﻣز‬ ‫ﻛﺗﺎﺑﺔ‬ ‫دون‬ ‫اﻵﻟﺔ‬ ‫ﺗﻌﻠم‬ ‫ﻧﻣﺎذج‬ ‫اﺧﺗﺑﺎر‬ :What-If ‫أداة‬
  15. 15. Person of Interest
  16. 16. Intelligence of machines today ●The main focus in AI today is getting a computer to recognize, make senses and recreate in what it sees and hears. ●Acting according to us. ●Recognizing a face. ●Navigating a busy street. ●Understanding what someone says.
  17. 17. https://www.youtube.com/watch?v= Aut32pR5PQA
  18. 18. ‫اﻟﻛﻼﺳﯾﻛﻲ‬ ‫اﻵﻟﺔ‬ ‫ّم‬ ‫ﻠ‬ ‫ﺗﻌ‬ ‫ﻟﻺﺷراف‬ ‫اﻟﺧﺎﺿﻊ‬ ‫ّم‬‫ﻠ‬‫اﻟﺗﻌ‬ ‫ﻟﻺﺷراف‬ ‫اﻟﺧﺎﺿﻊ‬ ‫ﻏﯾر‬ ‫ّم‬‫ﻠ‬‫اﻟﺗﻌ‬ ‫اﻟﺗﺻﻧﯾف‬ (Classification) ‫اﻻﻧﺣدار‬ (Regression) ‫اﻟﺗﺟﻣﯾﻊ‬ (Clustering). ‫اﻟﺗﻌﻣﯾم‬ ‫أو‬ ‫اﻷﺑﻌﺎد‬ ‫ﺗﻘﻠﯾل‬ (Dimensionality Reduction) ‫اﻟرﺑط‬ ‫ﻗواﻋد‬ ‫ﺗﻌﻠم‬ (Association rule learning).
  19. 19. https://data-flair.training/blogs/cats-dogs-classification-deep-learning-project-b eginners/
  20. 20. Deep Reinforcement https://www.youtube.com/watch?v=VMp6pq6_QjI https://www.youtube.com/watch?v= zIkBYwdkuTk
  21. 21. ‫اﻟﺣﺎﺳب‬ ‫ﻣن‬ ‫أﻓﺿل‬ ‫اﻹﻧﺳﺎن‬ ‫ﯾؤدﯾﮫ‬ ‫ﻣﺎ‬ ⚫ ‫ﺑﺴﺮﻋﺔ‬ ‫اﻟﻤﻌﻠﻮﻣﺎت‬ ‫واﻛﺘﺴﺎب‬ ‫اﻟﺘﻌﻠﻢ‬ ‫ﻋﻠﻰ‬ ‫اﻟﻘﺪرة‬ ⚫ ‫واﻟﻌﻘﻠﻲ‬ ‫اﻟﺤﺴﻲ‬ ‫اﻹدراك‬ ‫ﻋﻠﻰ‬ ‫ﺑﻨﺎء‬ ‫اﻟﺼﺤﯿﺤﺔ‬ ‫اﻟﻘﺮارات‬ ‫اﺗﺨﺎذ‬ ‫ﻋﻠﻰ‬ ‫اﻟﻘﺪرة‬ ‫اﻟﻤﺸﻜﻠﺔ‬ ‫ﻟﺠﻮاﻧﺐ‬ ⚫ ‫وﺗﺼﺤﯿﺤﮭﺎ‬ ‫اﻷﺧﻄﺎء‬ ‫اﻛﺘﺸﺎف‬ ‫ﻋﻠﻰ‬ ‫اﻟﻘﺪرة‬ ⚫ ‫ﺟﺪﯾﺪة‬ ‫ﻣﻮاﻗﻒ‬ ‫إﻟﻰ‬ ‫اﻟﺬاﺗﯿﺔ‬ ‫واﻟﺨﺒﺮة‬ ‫اﻟﺘﺠﺮﺑﺔ‬ ‫ﻧﻘﻞ‬ ⚫ ‫اﻟﻤﺨﺘﻠﻔﺔ‬ ‫اﻟﻤﻌﺮﻓﺔ‬ ‫أﻧﻮاع‬ ‫ﺑﯿﻦ‬ ‫اﻟﺘﻤﯿﯿﺰ‬ ⚫ ( ‫ﻣﻼﺣﻈﺔ‬ ‫اﺑﺪاع‬ ‫ﺣﺴﯿﺔ‬ ) ‫ﺑﺎﻟﻔﻄﺮة‬ ‫واﻟﻤﮭﺎرات‬ ‫اﻟﻘﺪرات‬
  22. 22. :‫اﻻﻧﺳﺎن‬ ‫ﻣن‬ ‫اﻓﺿل‬ ‫اﻟﺣﺎﺳب‬ ‫ﯾؤدﯾﮫ‬ ‫ﻣﺎ‬ ⚫ ‫ﺑﺎﻻﻧﺴﺎن‬ ‫ﻣﻘﺎرﻧﺔ‬ ‫ﺛﻮان‬ ‫ﻓﻲ‬ ‫اﻟﻤﻌﻘﺪة‬ ‫اﻟﺤﺴﺎﺑﯿﺔ‬ ‫اﻟﻌﻤﻠﯿﺎت‬ ‫ﻣﻦ‬ ‫ﺑﺎﻟﻌﺪﯾﺪ‬ ‫اﻟﻘﯿﺎم‬ ⚫ ‫اﻟﺘﻜﺮارﯾﺔ‬ ‫اﻷﻋﻤﺎل‬ ‫ﺧﺎﺻﺔ‬ ‫ﻣﻠﻞ‬ ‫أو‬ ‫ﻛﻠﻞ‬ ‫دون‬ ‫اﻟﻤﮭﺎم‬ ‫ﺗﻨﻔﯿﺬ‬ ⚫ ‫ﻋﺎﻟﯿﺔ‬ ‫وﻛﻔﺎءة‬ ‫ﺗﺎﻣﺔ‬ ‫ﺑﺴﺮﻋﺔ‬ ‫اﻟﻤﻌﻠﻮﻣﺎت‬ ‫ﻣﻦ‬ ‫ھﺎﺋﻞ‬ ‫ﻛﻢ‬ ‫واﺳﺘﺮﺟﺎع‬ ‫ﺗﺨﺰﯾﻦ‬ ⚫ ‫اﻻﻧﺴﺎن‬ ‫ﻣﻦ‬ ‫ﺑﺪﻻ‬ ‫اﻟﺤﺎﺳﺐ‬ ‫اﺳﺘﺨﺪام‬ ‫ﺣﺎﻟﺔ‬ ‫ﻓﻲ‬ ‫ﺑﺎﻟﻌﻤﻞ‬ ‫اﻟﺨﺎﺻﺔ‬ ‫اﻟﻨﻔﻘﺎت‬ ‫ﺗﻮﻓﺮ‬
  23. 23. Dendral ‫ﻧظﺎم‬ ‫اﻟﻣﺳﺎﺋل‬ ‫ﺣل‬ ‫أﻧظﻣﺔ‬ ‫ﻓﻲ‬ ‫اﻟﻘﺻور‬ ‫ﻟﻣﻌﺎﻟﺟﺔ‬ ‫اﻟﻌﺎﻟم‬ ‫ﻓﻲ‬ ‫ﺧﺑﯾر‬ ‫ﻧظﺎم‬ ‫أول‬ ‫ظﮭر‬ ‫اﻟﺳﺑﻌﯾﻧﺎت‬ ‫ﻓﻲ‬ ‫أطﻠق‬ ‫ﻣن‬ ‫أول‬ ‫وھو‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﺑﻣﺳﺗﻘﺑل‬ ‫ﺗﻧﺑﺄ‬ ‫اﺳﯾﻣوف‬ ‫اﻟﻛﯾﻣﯾﺎﺋﻲ‬ ‫ﻟﻠﺗﺣﻠﯾل‬ ‫ﺧﺑﯾر‬ ‫ﻧظﺎم‬: 1971 ‫اﻵﻟﯾﯾن‬ ‫اﻟرﺟﺎل‬ ‫ﻋﻠﻰ‬ ‫روﺑوت‬ ‫ﻣﺻطﻠﺢ‬ ‫اﻵﻟﯾﯾن‬ ‫اﻟرﺟﺎل‬ ‫ﻟﺿﺑط‬ ‫ﻗواﻋد‬ 3 ‫وﺿﻊ‬ ‫ﺻﺎﻧﻌﯾﮭﺎ‬ ‫ﻋﻠﻰ‬ ‫اﻵﻻت‬ ‫اﻧﻘﻼب‬ ‫ﺑﻔﻛرة‬ ‫ﺗﻧﺑﺄ‬ .1 .‫ﻟﮫ‬ ‫ًى‬‫ذ‬‫أ‬ ‫ﯾﺳﺑب‬ ‫ﻗد‬ ‫ﻋﻣﺎ‬ ‫اﻟﺳﻛوت‬ ‫أو‬ ّ‫ﺑﺷري‬ ‫إﯾذاء‬ ‫آﻟﻲ‬ ‫ﯾﺟوز‬ ‫ﻻ‬ .2 .‫اﻷول‬ ‫اﻟﻘﺎﻧون‬ ‫ﻣﻊ‬ ‫ﺗﻌﺎرﺿت‬ ‫إن‬ ‫إﻻ‬ ‫اﻟﺑﺷر‬ ‫أواﻣر‬ ‫إطﺎﻋﺔ‬ ‫آﻟﻲ‬ ‫ﻋﻠﻰ‬ ‫ﯾﺟب‬ .3 .‫واﻟﺛﺎﻧﻲ‬ ‫اﻷول‬ ‫اﻟﻘﺎﻧوﻧﯾن‬ ‫ﻣﻊ‬ ‫ذﻟك‬ ‫ﯾﺗﻌﺎرض‬ ‫ﻻ‬ ‫طﺎﻟﻣﺎ‬ ‫ﺑﻘﺎﺋﮫ‬ ‫ﻋﻠﻰ‬ ‫اﻟﻣﺣﺎﻓظﺔ‬ ‫آﻟﻲ‬ ‫ﻋﻠﻰ‬ ‫ﯾﺟب‬ ‫ﯾؤذي‬ ‫أن‬ ‫روﺑوت‬ ‫ﻻي‬ ‫ﯾﻧﺑﻐﻲ‬ ‫ﻻ‬ :‫وھو‬ ،‫اﻟﻘواﻧﯾن‬ ‫ﻣﺟﻣوﻋﺔ‬ ‫إﻟﻰ‬ ‫ﺻﻔر‬ ‫اﻟﻘﺎﻧون‬ ‫أﺳﯾﻣوف‬ ‫أﺿﺎف‬ ً‫ﺎ‬‫ﻻﺣﻘ‬ ‫ﻓﻌل‬ ‫رد‬ ‫ﺑﺄي‬ ‫اﻟﻘﯾﺎم‬ ‫ﺑﻌدم‬ ‫ﻧﻔﺳﮭﺎ‬ ‫ﺑﺈﯾذاء‬ ‫اﻹﻧﺳﺎﻧﯾﺔ‬ ‫ﯾﺳﻣﺢ‬ ‫أن‬ ‫أو‬،‫اﻹﻧﺳﺎﻧﯾﺔ‬
  24. 24. ‫أ‬ (Artificial Neural Network ANN ) ‫اﻻﺻطﻧﺎﻋﯾﺔ‬ ‫اﻟﻌﺻﺑوﻧﯾﺔ‬ ‫اﻟﺷﺑﻛﺎت‬ ‫ﻣن‬ ‫ﻣﺗراﺑطﺔ‬ ‫ﻣﺟﻣوﻋﺔ‬ : SNN ‫أو‬ simulated neural network ‫اﻟﻣﺣﺎﻛﯾﺔ‬ ‫اﻟﻌﺻﺑوﻧﯾﺔ‬ ‫ﺑﺎﻟﺷﺑﻛﺎت‬ ‫أﯾﺿﺎ‬ ‫ﯾدﻋﻰ‬ ‫ﻣﺎ‬ ‫و‬ ‫إﻟﻛﺗروﻧﯾﺔ‬ ‫ﺑﻧﻰ‬ ‫أو‬ ‫اﻟﺑﯾوﻟوﺟﻲ‬ ‫اﻟﻌﺻﺑون‬ ‫ﻋﻣل‬ ‫ﻟﺗﺷﺎﺑﮫ‬ ُ‫ﺔ‬‫ﱠ‬‫ﯾ‬‫ﺣﺎﺳوﺑ‬ ٌ‫ﺞ‬‫ﺑراﻣ‬ ‫ﺗﻧﺷﺋﮭﺎ‬ ‫اﻓﺗراﺿﯾﺔ‬ ‫اﻟﻌﺻﺑﯾﺔ‬ ‫اﻟﺧﻠﯾﺔ‬ ‫ﻋﺻﺑوﻧﺎت‬ ‫اﻟطرﯾﻘﺔ‬ ‫ﻋﻠﻰ‬ ‫ﺑﻧﺎء‬ ‫اﻟﻣﻌﻠوﻣﺎت‬ ‫ﻟﻣﻌﺎﻟﺟﺔ‬ ‫اﻟرﯾﺎﺿﻲ‬ ‫اﻟﻧﻣوذج‬ ‫ﺗﺳﺗﺧدم‬ (‫اﻟﻌﺻﺑوﻧﺎت‬ ‫ﻋﻣل‬ ‫ﻟﻣﺣﺎﻛﺎة‬ ‫ﻣﺻﻣﻣﺔ‬ ‫إﻟﻛﺗروﻧﯾﺔ‬ ‫)ﺷﯾﺑﺎت‬ ‫اﻟﺳﻠوك‬ ‫ﻟﻛن‬ ‫ﺑﺳﯾط‬ ‫ﺑﻌﻣل‬ ‫ﺗﻘوم‬ ‫ﺑﺳﯾطﺔ‬ ‫ﻣﻌﺎﻟﺟﺔ‬ ‫ﻋﻧﺎﺻر‬ ‫ﻋﺎم‬ ‫ﺑﺷﻛل‬ ‫اﻟﻌﺻﺑوﻧﯾﺔ‬ ‫اﻟﺷﺑﻛﺎت‬ ‫ﺗﺗﺄﻟف‬ .‫اﻟﺣوﺳﺑﺔ‬ ‫ﻓﻲ‬ ‫اﻻﺗﺻﺎﻟﯾﺔ‬ ‫اﻟﻌﻧﺎﺻر‬ ‫ھذه‬ ‫وﻣؤﺷرات‬ ‫ﺑﺎﻟﻌﺻﺑوﻧﺎت‬ ‫ھﻧﺎ‬ ‫ﺗدﻋﻰ‬ ‫اﻟﺗﻲ‬ ‫اﻟﻌﻧﺎﺻر‬ ‫ھذه‬ ‫ﻣﺧﺗﻠف‬ ‫ﺑﯾن‬ ‫اﻻﺗﺻﺎﻻت‬ ‫ﺧﻼل‬ ‫ﻣن‬ ‫ﯾﺗﺣدد‬ ‫ﻟﻠﺷﺑﻛﺔ‬ ‫اﻟﻛﻠﻲ‬ ‫اﻟﺗﻲ‬ ‫اﻟدﻣﺎﻏﯾﺔ‬ ‫اﻟﻌﺻﺑوﻧﺎت‬ ‫ﻋﻣل‬ ‫آﻟﯾﺔ‬ ‫ﻣن‬ ‫أﺗﻰ‬ ‫اﻟﻌﺻﺑوﻧﯾﺔ‬ ‫اﻟﺷﺑﻛﺎت‬ ‫ﺑﻔﻛرة‬ ‫اﻷول‬ ‫اﻹﯾﺣﺎء‬ .element parameters ‫أن‬ ‫ھب‬ ‫دوﻧﺎﻟد‬ ‫اﻗﺗرح‬ ‫اﻟﺷﺑﻛﺎت‬ ‫ھذه‬ ‫ﻓﻲ‬ .‫اﻟدﻣﺎغ‬ ‫إﻟﻰ‬ ‫اﻟواردة‬ ‫اﻟﻣﻌﻠوﻣﺎت‬ ‫ﻟﻣﻌﺎﻟﺟﺔ‬ ‫ﻛﮭرﺑﺎﺋﯾﺔ‬ ‫ﺑﯾوﻟوﺟﯾﺔ‬ ‫ﺑﺷﺑﻛﺎت‬ ‫ﺗﺷﺑﯾﮭﮭﺎ‬ ‫ﯾﻣﻛن‬ ‫واﻟﺷﺑﻛﺎت‬ ‫اﻻﺗﺻﺎﻟﯾﺔ‬ ‫ﻓﻛرة‬ ‫ﻓﻲ‬ ‫ﻟﻠﺗﻔﻛﯾر‬ ‫دﻓﻊ‬ ‫ﻣﺎ‬ ‫وھذا‬ ‫اﻟﻣﻌﺎﻟﺟﺔ‬ ‫ﻋﻣﻠﯾﺔ‬ ‫ﺗوﺟﯾﮫ‬ ‫ﻓﻲ‬ ‫أﺳﺎﺳﯾﺎ‬ ‫دورا‬ ‫ﯾﻠﻌب‬ ‫اﻟﻌﺻﺑﻲ‬ ‫اﻟﻣﺷﺑك‬ ‫ﻋﺻﺑوﻧﺎت‬ ‫اﻧﮫ‬ ‫ﻣﺳﺑﻘﺎ‬ ‫ذﻛرﻧﺎ‬ ‫ﻗد‬ ‫ﻣﺎ‬ ‫أو‬ ‫ﻋﻘد‬ ‫ﻣن‬ ‫اﻻﺻطﻧﺎﻋﯾﺔ‬ ‫اﻟﻌﺻﺑوﻧﯾﺔ‬ ‫اﻟﺷﺑﻛﺎت‬ ‫ﺗﺗﺎﻟف‬ .‫اﻻﺻطﻧﺎﻋﯾﺔ‬ ‫اﻟﻌﺻﺑوﻧﯾﺔ‬ ‫ھذه‬ ‫ﺑﯾن‬ ‫اﺗﺻﺎل‬ ‫وﻛل‬ ،‫اﻟﻌﻘد‬ ‫ﻣن‬ ‫ﺷﺑﻛﺔ‬ ‫ﻟﺗﺷﻛل‬ ‫ﻣﻌﺎ‬ ‫ﻣﺗﺻﻠﺔ‬ ،processing elements ‫ﻣﻌﺎﻟﺟﺔ‬ ‫وﺣدات‬ ‫أو‬ neurons ‫اﻟداﺧﻠﺔ‬ ‫اﻟﻘﯾم‬ ‫ﻋﻠﻰ‬ ‫ﺑﻧﺎء‬ ‫ﻣﻌﺎﻟﺟﺔ‬ ‫ﻋﻧﺻر‬ ‫ﻛل‬ ‫ﻋن‬ ‫اﻟﻧﺎﺗﺟﺔ‬ ‫اﻟﻘﯾم‬ ‫ﺗﺣدﯾد‬ ‫ﻓﻲ‬ ‫ﺗﺳﮭم‬ ‫اﻷوزان‬ ‫ﺗدﻋﻰ‬ ‫اﻟﻘﯾم‬ ‫ﻣن‬ ‫ﻣﺟﻣوﻋﺔ‬ ‫ﯾﻣﻠك‬ ‫اﻟﻌﻘد‬ .‫اﻟﻌﻧﺻر‬ ‫ﻟﮭذا‬
  25. 25. Nicolas ‫اﻟﻣﻌﻣﺎري‬ ‫اﻟﻣﮭﻧدس‬ ‫طرﺣﮫ‬ ‫أن‬ ‫ﻣﻧذ‬ ً‫ﻼ‬‫طوﯾ‬ ‫ًﺎ‬‫ط‬‫ﺷو‬ ‫اﻟﻛﻣﺑﯾوﺗر‬ ‫ﺑﻣﺳﺎﻋدة‬ ‫ﻟﻠﺗﺻﻣﯾم‬ (AI) ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﻗطﻊ‬ ‫ﻟﻘد‬ .‫اﻵﻟﻲ‬ ‫اﻟﺗﻌﻠم‬ ‫ﺧوارزﻣﯾﺎت‬ ‫ﻋﻠﻰ‬ ‫اﻟﺗﻛﻧوﻟوﺟﯾﺔ‬ ‫اﻟﺗطورات‬ ‫ﻣن‬ ‫اﻟﻌدﯾد‬ ‫ﺗﻌﺗﻣد‬ .‫اﻟﺳﺑﻌﯾﻧﯾﺎت‬ ‫ﻓﻲ‬ ‫ﻧﯾﻐروﺑوﻧﺗﻲ‬ ‫ﻧﯾﻛوﻻس‬ Negroponte .‫اﻟﺗﺻﻣﯾم‬ ‫ﻋﻣﻠﯾﺔ‬ ‫ﻟﺗﺣﺳﯾن‬ ‫إﻣﻛﺎﻧﯾﺔ‬ ‫أﻛﺑر‬ ‫ﻣﻊ‬ ، BIM ‫اﺗﺟﺎھﺎت‬ ‫ﻗﺎﺋﻣﺔ‬ ‫ﯾﺗﺻدر‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﺟﻌل‬ ‫ﻓﻲ‬ ‫ﺗﺳﺎﻋد‬ ‫اﻟﺗﻲ‬ ‫اﻟﺧوارزﻣﯾﺎت‬ ‫واﻟﺳﻼﻟم‬ ‫اﻟﻧواﻓذ‬ ‫وﻣﻌﻠﻣﺎت‬ ، ‫اﻟطواﺑق‬ ‫وارﺗﻔﺎﻋﺎت‬ ، ‫واﻟﻣواد‬ ‫اﻟﺗراﻛﯾب‬ :‫وﻧﺳﺧﮭﺎ‬ ‫اﻟﻌﻧﺎﺻر‬ ‫ﻻﻛﺗﺷﺎف‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫اﺳﺗﺧدام‬ ‫ﯾﻣﻛن‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﯾﺣﻠل‬ ، .‫ذﻟك‬ ‫إﻟﻰ‬ ‫وﻣﺎ‬ ، ‫أو‬ ‫ﻟ‬ ‫ﻋ‬ ‫طﺑﻘﺔ‬ ‫ﻋﻠﻰ‬ ‫ًﺎ‬‫ﯾ‬‫ﺗﻠﻘﺎﺋ‬ ‫اﻟﻣﺑﻧﻰ‬ ‫ﻣن‬ ‫اﻟﺷﻣﺎﻟﻲ‬ ‫اﻟﺟﺎﻧب‬ ‫ﻋﻠﻰ‬ ‫اﻟﺟدران‬ ‫ﺗﺣﺻل‬ ‫أن‬ ‫ﯾﻣﻛن‬ ، ‫اﻟﻣﺛﺎل‬ ‫ﺳﺑﯾل‬ ‫ﻋﻠﻰ‬ .‫ﺟدﯾد‬ ‫ﻣﺷروع‬ ‫ﻓﻲ‬ ‫اﻟﻧﻣط‬ ‫ﻧﻔس‬ ‫ﯾطﺑق‬ ‫ﺛم‬ ‫ًﺎ‬‫ﯾ‬‫ﻧﻣوذﺟ‬ ‫ﺎ‬ً‫ﻧﻣوذﺟ‬ ً‫ﺎ‬ https://playground.tensorflow.org/ ‫ﺧوارزﻣﯾﺔ‬ DBSCAN
  26. 26. Generative adversarial networks ( ‫اﻟﺗوﻟﯾدﯾﺔ‬ ‫اﻟﺧﺻوﻣﺔ‬ ‫ﺷﺑﻛﺎت‬ ‫اﻟﺗﻲ‬ ‫اﻵﻟﻲ‬ ‫اﻟﺗﻌﻠم‬ ‫ﺷﺑﻛﺎت‬ ‫ﻣن‬ ‫ﻧوع‬ ‫ھﻲ‬ ‫اﻟﺧﺻوﻣﯾﺔ‬ ‫اﻟﺗوﻟﯾدﯾﺔ‬ ‫اﻟﺷﺑﻛﺎت‬ ‫أو‬ GAN ) ‫ﻣﻊ‬ ‫ﻋﺻﺑﯾﺗﯾن‬ ‫ﺷﺑﻛﺗﯾن‬ ‫ﺗﺗﻧﺎﻓس‬ .2014 ‫ﻋﺎم‬ ‫ﻓﻲ‬ ‫وزﻣﻼؤه‬ ‫ﺟودﻓﯾﻠو‬ ‫إﯾﺎن‬ ‫اﺧﺗرﻋﮭﺎ‬ ‫ﻟﻌﺑﺔ‬ ‫ﺷﻛل‬ ‫ﻓﻲ‬ ‫ًﺎ‬‫ﻣ‬‫داﺋ‬ ‫ﻟﯾس‬ ‫وﻟﻛن‬ ‫ًﺎ‬‫ﺑ‬‫ﻏﺎﻟ‬ ، ‫اﻟﻠﻌﺑﺔ‬ ‫ﻧظرﯾﺔ‬ ‫)ﺑﻣﻌﻧﻰ‬ ‫ﻟﻌﺑﺔ‬ ‫ﻓﻲ‬ ‫ﺑﻌﺿﮭﻣﺎ‬ ‫ﻟﻠﺑﯾﺎﻧﺎت‬ ‫ﻣﺷﺎﺑﮭﺔ‬ ‫ﻣﻔﺑرﻛﺔ‬ ‫ﺑﯾﺎﻧﺎت‬ ‫إﻧﺷﺎء‬ ‫ﻋﻠﻰ‬ ‫اﻟﺗدرب‬ ‫ﻣﻧﮭﺎ‬ ‫اﻟﮭدف‬ ( ‫ﺻﻔر‬ ‫ﻣﺣﺻﻠﺗﮭﺎ‬ ‫إﻧﺷﺎء‬ ‫اﻟﺗﻘﻧﯾﺔ‬ ‫ھذه‬ ‫ﺗﺗﻌﻠم‬ .‫ﺑﯾﻧﮭﻣﺎ‬ ‫اﻟﺗﻔرﯾق‬ ‫آﻟﻲ‬ ‫أو‬ ‫ﺑﺷري‬ ‫ﻣراﻗب‬ ‫ﻋﻠﻰ‬ ‫ﯾﺻﻌب‬ ،‫اﻟﺣﻘﯾﻘﯾﺔ‬ ، ‫اﻟﻣﺛﺎل‬ ‫ﺳﺑﯾل‬ ‫ﻋﻠﻰ‬ .‫اﻟﺗدرﯾب‬ ‫ﻟﻣﺟﻣوﻋﺔ‬ ‫اﻹﺣﺻﺎﺋﯾﺔ‬ ‫اﻟﺧﺻﺎﺋص‬ ‫ﺑﻧﻔس‬ ‫ﺟدﯾدة‬ ‫ﺑﯾﺎﻧﺎت‬ ‫ﺣﻘﯾﻘﯾﺔ‬ ‫ﺗﺑدو‬ ‫ﺟدﯾدة‬ ‫ﺻور‬ ‫إﻧﺷﺎء‬ ‫اﻟﻔوﺗوﻏراﻓﯾﺔ‬ ‫اﻟﺻور‬ ‫ﻋﻠﻰ‬ ‫ب‬‫ُدرﱠ‬‫ﻣ‬‫اﻟ‬ GAN ‫ﻟـ‬ ‫ﯾﻣﻛن‬ ‫ﺗم‬ ‫أﻧﮫ‬ ‫ﻣن‬ ‫اﻟرﻏم‬ ‫ﻋﻠﻰ‬ .‫اﻟواﻗﻌﯾﺔ‬ ‫اﻟﺧﺻﺎﺋص‬ ‫ﻣن‬ ‫اﻟﻌدﯾد‬ ‫وﻟﮭﺎ‬ ، ‫اﻟﺑﺷرﯾﯾن‬ ‫ﻟﻠﻣراﻗﺑﯾن‬ ‫ﻟﻠرﻗﺎﺑﺔ‬ ‫اﻟﺧﺎﺿﻊ‬ ‫ﻏﯾر‬ ‫ﻟﻠﺗﻌﻠم‬ ‫اﻟﺗوﻟﯾدي‬ ‫اﻟﻧﻣوذج‬ ‫أﺷﻛﺎل‬ ‫ﻣن‬ ‫ﻛﺷﻛل‬ ‫اﻷﺻل‬ ‫ﻓﻲ‬ ‫اﻗﺗراﺣﮫ‬ ‫اﻟﺗﻌﻠم‬ ، ‫ﻟﻺﺷراف‬ ‫اﻟﺧﺎﺿﻊ‬ ‫ﺷﺑﮫ‬ ‫ﻟﻠﺗﻌﻠم‬ ‫ﻣﻔﯾدة‬ ‫أﻧﮭﺎ‬ ‫ًﺎ‬‫ﺿ‬‫أﯾ‬ GAN ‫ﺷﺑﻛﺎت‬ ‫أﺛﺑﺗت‬ ‫ﻓﻘد‬ ، ‫وﺻف‬ ، 2016 ‫ﻋﺎم‬ ‫ﻧدوة‬ ‫ﻓﻲ‬ . ‫اﻟﻣﻌزز‬ ‫واﻟﺗﻌﻠم‬ ، ‫اﻟﻛﺎﻣل‬ ‫ﻟﻺﺷراف‬ ‫اﻟﺧﺎﺿﻊ‬ ‫ﻣﯾدان‬ ‫ﻓﻲ‬ ‫ﻓﻛرة‬ ‫»أروع‬ ‫ﺑﺄﻧﮭﺎ‬ GAN ‫ﺷﺑﻛﺎت‬ ‫ﻟوﻛون‬ ‫ﯾﺎن‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﺧﺑﯾر‬ .«‫اﻟﻣﺎﺿﯾﺔ‬ ‫اﻟﻌﺷرﯾن‬ ‫اﻟﺳﻧوات‬ ‫ﻓﻲ‬ ‫اﻵﻟﻲ‬ ‫اﻟﺗﻌﻠم‬ ، ‫اﻟداﺧﻠﻲ‬ ‫اﻟﺗﺻﻣﯾم‬ ‫ﻟﺗﺻور‬ ‫اﻟواﻗﻌﯾﺔ‬ ‫اﻟﺻور‬ ‫ﺗﻧﺗﺞ‬ ‫اﻟﺗﻲ‬ GANs ‫اﺳﺗﺧدام‬ ‫ﯾﻣﻛن‬ ‫ﻟﻣﺷﺎھد‬ ‫ﻋﻧﺎﺻر‬ ‫أو‬ ‫اﻟﻣﻼﺑس‬ ‫وﻋﻧﺎﺻر‬ ، ‫اﻟﺣﻘﺎﺋب‬ ، ‫واﻷﺣذﯾﺔ‬ ، ‫اﻟﺻﻧﺎﻋﻲ‬ ‫واﻟﺗﺻﻣﯾم‬ Facebook ‫طرف‬ ‫ﻣن‬ ‫اﻟﺷﺑﻛﺎت‬ ‫ﻣن‬ ‫اﻟﻧوع‬ ‫ھذا‬ ‫اﺳﺗﺧدام‬ ‫ﯾﺗم‬ . ‫اﻟﻛﻣﺑﯾوﺗر‬ ‫أﻟﻌﺎب‬ . ‫وأﻧﻣﺎط‬ ، ‫اﻟﺻور‬ ‫ﻣن‬ ‫ﻟﻠﻛﺎﺋﻧﺎت‬ ‫اﻷﺑﻌﺎد‬ ‫ﺛﻼﺛﯾﺔ‬ ‫ﻧﻣﺎذج‬ ‫ﺑﻧﺎء‬ ‫إﻋﺎدة‬ GANs ‫ﻟـ‬ ‫ﯾﻣﻛن‬ .‫اﻟﻔﯾدﯾو‬ ‫ﻓﻲ‬ ‫اﻟﺣرﻛﺔ‬ ‫ﻧﻣﺎذج‬
  27. 27. ‫اﻟﺗﻼﻓﯾﻔﯾﺔ‬ ‫اﻟﻌﺻﺑﯾﺔ‬ ‫اﻟﺷﺑﻛﺎت‬ (Convolutional Neural Networks)
  28. 28. ‫ﻣﺛل‬ ‫ﺣﻘﯾﻘﯾﯾن‬ ‫ﻏﯾر‬ ‫ﻷﺷﺧﺎص‬ ‫ﺻور‬ ‫ﺗوﻟﯾد‬ ‫ﯾﻣﻛن‬ GAN ‫ﻋﻠﻰ‬ ‫ﯾﻌﺗﻣد‬ ‫اﻟذي‬ ‫اﻟﻣوﻗﻊ‬ ‫ھذا‬ https://this-person-does-not-exis t.com/en
  29. 29. Midjourney Midjourney ‫ﻣوﻗﻊ‬ ‫ﻣن‬ ‫ﻣﻘدﻣﺔ‬ ‫ﻣﺛﻼ‬ ‫اﻟﻣﻘدس‬ ‫ﻛﺗﺎﺑك‬ ‫ﻣن‬ ‫ﻣﺷﺎھد‬ ‫ﺗﺧﯾل‬ ‫او‬ ‫ﻣﻌﻣﺎري‬ ‫ﺗﻛون‬ ‫ﻗد‬ ‫ﺗﺻﺎﻣﯾم‬ ‫و‬ ‫ﻓﻧﯾﺔ‬ ‫اﻋﻣﺎل‬ ‫اﻧﺗﺎج‬ ‫ﻓﻲ‬ ‫اﻟﺻﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫اﺳﺗﺧدام‬ https://www.midjourney.com https://www.midjourney.com/app/ https://discord.com/channels/662267976984297473/997267800106205184 https://www.craiyon.com/
  30. 30. https://openai.com/dall-e-2/. https://labs.openai.com/ .‫اﻓﺗﺗﺎﺣﯾﺔ‬ ‫ﻛﻠﻣﺎت‬ ‫طﺑﯾﻌﯾﺔ‬ ‫ﺑﻠﻐﺔ‬ ‫وﺻف‬ ‫ﻣن‬ ‫واﻗﻌﯾﺔ‬ ‫وﻓﻧون‬ ‫ﺻور‬ ‫إﻧﺷﺎء‬ ‫ﯾﻣﻛﻧﮫ‬ ‫ﺟدﯾد‬ ‫اﺻطﻧﺎﻋﻲ‬ ‫ذﻛﺎء‬ ‫ﻧظﺎم‬ ‫ھو‬ ‫و‬ DALL · E 2 https://beta.openai.com/examples/ https://pitch.com/v/DALL-E-prompt-book-v1-tmd33y https://looka.com/ Design Logo
  31. 31. https://artflow.ai/
  32. 32. https://data-flair.training/blogs/create-emoji-with-deep-learning/
  33. 33. https://data-flair.training/blogs/python-project-capture-selfie -by-detecting-smile/
  34. 34. Intelligent Video Surveillance with Deep Learning https://data-flair.training/blogs/deep-surveillance-with-deep-learning-intelligent-video-su rveillance-project/
  35. 35. https://my.replika.com/
  36. 36. https://www.deeparteffects.com/
  37. 37. AIVA ‫أﺣﺻﻰ‬ ‫اﻟذي‬ ‫اﻟﻣوﺳﯾﻘﺎر‬ ‫اﻟﻠوﻏﺎرﯾﺗم‬ ,(AIVA – Artificial Intelligence Virtual Artist)‫اﯾﻔﺎ‬ ‫ﻣﺷروع‬ ،‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﺗطﺑﯾﻘﺎت‬ ‫ﻣن‬ ‫ﻣوﺳﯾﻘﯾﺔ‬ ‫ﻣﻘطوﻋﺎت‬ ‫ﺑﺗﺄﻟﯾف‬ (‫)اﯾﻔﺎ‬ ‫اﻟﻠوﻏﺎرﯾﺗم‬ ‫ھذا‬ ‫ﺑدأ‬ ‫ﺛم‬ ‫وﻣن‬ ،‫اﻟﺑﺷر‬ ‫إذن‬ ‫ﯾطرب‬ ‫ﻗد‬ ‫ﻣﺎ‬ ‫ﻣﻧﮭﺎ‬ ‫وﺗﻌﻠم‬ ‫اﻟﺗﺎرﯾﺦ‬ ‫ﻋﺑر‬ ‫اﻟﻣوﺳﯾﻘﯾﯾن‬ ‫أﺷﮭر‬ ‫ﺳﯾﻣﻔوﻧﯾﺎت‬ Digital) ‫رﻗﻣﯾﺔ‬ ‫أدوات‬ ‫ﺑواﺳطﺔ‬ ‫ﺑل‬ ،‫ﻣﻠﻣوﺳﺔ‬ ‫ﻣوﺳﯾﻘﯾﺔ‬ ‫ﻣﻌدات‬ ‫ﺑدون‬ ‫ﺗﺄﻟﯾﻔﮭﺎ‬ ‫ﺗم‬ ‫اﻟﻣﻘطوﻋﺎت‬ ‫ھذه‬ ‫ﻛل‬ ،‫وﺑﺎﻟﻣﻧﺎﺳﺑﺔ‬ !ً‫ﺎ‬‫دﻣﻌ‬ ‫اﻟﻌﯾون‬ ‫ﻟﺟﻣﺎﻟﮭﺎ‬ ‫ﺗذرف‬ .‫ذھﻧﮭﺎ‬ ‫ﻓﻲ‬ ‫ﺑﮭﺎ‬ ‫واﺣﺗﻔظت‬ ‫إﯾﻔﺎ‬ ‫أﻧﺷﺄﺗﮭﺎ‬ (Instrumentations
  38. 38. Gladiabots ‫ًا‬‫د‬‫اﻋﺗﻣﺎ‬ ‫اﻟﺳﺎﺣﺔ‬ ‫ﻓﻲ‬ ‫اﻟﺑﻌض‬ ‫ﺑﻌﺿﮭﺎ‬ ‫ﻣﻊ‬ ‫اﻟروﺑوﺗﺎت‬ ‫ﻓرق‬ ‫ﺗﺗﺻﺎرع‬ ‫ﺣﯾث‬ ،‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﺑرﻣﺟﺔ‬ ‫ﻟﺗﻌﻠم‬ ‫اﺳﺗﺧداﻣﮭﺎ‬ ‫ﯾﻣﻛﻧك‬ ‫اﺳﺗراﺗﯾﺟﯾﺔ‬ ‫ﻟﻌﺑﺔ‬ ‫ھﻲ‬ .‫ﻣﺑﺎﺷرة‬ ‫ﻓﯾﮭﺎ‬ ‫اﻟﺗﺣﻛم‬ ‫ﻣن‬ ً‫ﻻ‬‫ﺑد‬ ،‫ًﺎ‬‫ﻘ‬‫ﻣﺳﺑ‬ ‫ﻟﮭم‬ ‫ﺑﺑرﻣﺟﺗﮫ‬ ‫ﻗﻣت‬ ‫اﻟذي‬ ‫اﻟﺑرﻧﺎﻣﺞ‬ ‫ﻋﻠﻰ‬ ‫ﻋﺑر‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﺑرﻣﺟﺔ‬ ‫ﻟﮭم‬ ‫وﯾﺗﯾﺢ‬ ‫ﻟﻠﻣﺑﺗدﺋﯾن‬ ‫ﻣﻧﺎﺳب‬ ‫ﻓﮭو‬ ،‫ﺗﺳﺗﺧدﻣﮫ‬ ‫ﻟﻛﻲ‬ ‫اﻟﺑرﻣﺟﺔ‬ ‫ﻓﻲ‬ ‫دورة‬ ‫ﻋﻠﻰ‬ ‫اﻟﺣﺻول‬ ‫اﻟﺗطﺑﯾق‬ ‫ھذا‬ ‫ﻣﻧك‬ ‫ﯾﺗطﻠب‬ ‫ﻟن‬ .‫اﻟﻣﺻﺎرﻋﺔ‬ ‫أﺛﻧﺎء‬ ‫اﻟروﺑوﺗﺎت‬ ‫ﺗﻧﺎﺳب‬ ‫وظروف‬ ‫ﻣﺣﯾطﺎت‬ ‫ﺗﺣدﯾد‬ ‫ﺣول‬ ‫ﯾدور‬ ‫ﻛﻠﮫ‬ ‫ﻓﺎﻷﻣر‬ ‫ھﻧﺎ‬ ً‫ﺎ‬‫ﻋﻣﯾﻘ‬ ً‫ﺎ‬‫ﺗﻌﻠﻣ‬ ‫ﺗﺟد‬ ‫وﻟن‬ ،‫ﺳﮭﻠﺔ‬ ‫ﻣﺧططﺎت‬ ،‫ﺑﻼي‬ ‫ﺟوﺟل‬ ‫ﻣﺗﺟر‬ ‫ﻋﻠﻰ‬ ‫أﻧدروﯾد‬ ‫أﺟﮭزة‬ ‫ﻟﻣﺳﺗﺧدﻣﻲ‬ ‫ﻣﺗﺎح‬ ‫اﻟﺗطﺑﯾق‬
  39. 39. Google Lens OCR software https://www.sejda.com/pdf-editor
  40. 40. https://www.remove.bg/ ●
  41. 41. FACE SWAPPER
  42. 42. https://segments.ai/
  43. 43. Copy.ai: Write better marketing copy and content with AI
  44. 44. https://plask.ai/
  45. 45. ( ‫اﻟطﺑﯾﻌﯾﺔ‬ ‫اﻟﻠﻐﺔ‬ ‫ﻓﮭم‬ Understanding Natural Language .‫وﻓﮭﻣﮭﺎ‬ ‫اﻟطﺑﯾﻌﯾﺔ‬ ‫اﻹﻧﺳﺎن‬ ‫ﻟﻠﻐﺎت‬ ‫ﻣؤﺗﻣت‬ ‫ﺑﺗوﻟﯾد‬ ‫ﺑﺎﻟﻘﯾﺎم‬ ‫ﺗﮭﺗم‬ NLP ‫اﻟطﺑﯾﻌﯾﺔ‬ ‫اﻟﻠﻐﺔ‬ ‫ﻣﻌﺎﻟﺟﺔ‬ system generation language Natural ‫اﻟطﺑﯾﻌﯾﺔ‬ ‫اﻟﻠﻐﺔ‬ ‫ﺗوﻟﯾد‬ ‫ﻧظﺎم‬ ‫اﻟﻌﺎدﯾﺔ‬ ‫اﻷﺻوات‬ ‫إﻟﻰ‬ ‫اﻟﺣﺎﺳوب‬ databases ‫ﺑﯾﺎﻧﺎت‬ ‫ﻗواﻋد‬ ‫ﻣن‬ ‫اﻟﻣﻌﻠوﻣﺎت‬ ‫ﯾﺣول‬ ‫ﻧظﺎم‬ ‫ھو‬ ‫ﺑﺎﻟﻠﻐﺔ‬ sounding-normal ‫اﻟﺑﺷرﯾﺔ‬ human language. system understanding language Natural ‫اﻟطﺑﯾﻌﯾﺔ‬ ‫اﻟﻠﻐﺔ‬ ‫ﻓﮭم‬ ‫ﻧظﺎم‬ ‫ﺑراﻣﺞ‬ ‫ﻗﺑل‬ ‫ﻣن‬ ‫ﻟﻠﻣﻌﺎﻟﺟﺔ‬ ‫اﺑﺳط‬ ‫ﯾﻛون‬ ‫ﺑﺣﯾث‬ ،‫ﯾﻣﻛن‬ ‫ﻣﺎ‬ ‫أﻛﺛر‬ ‫رﯾﺎﺿﻲ‬/‫ﻣﻧﮭﺟﻲ‬ ‫ﺗﻣﺛﯾل‬ ‫إﻟﻰ‬ ‫اﻟﺑﺷرﯾﺔ‬ ‫اﻟﻠﻐﺔ‬ ‫ﻣن‬ ‫ﻋﯾﻧﺎت‬ ‫ﯾﺣول‬ .‫اﻟﺣﺎﺳوب‬ NLP in tasks major Some ‫اﻟطﺑﯾﻌﯾﺔ‬ ‫اﻟﻠﻐﺎت‬ ‫ﻣﻌﺎﻟﺟﺔ‬ ‫ﻓﻲ‬ ‫اﻷﺳﺎﺳﯾﺔ‬ ‫اﻟﻣﮭﺎم‬ ‫ﺑﻌض‬ ● .‫ﻛﻼم‬ ‫إﻟﻰ‬ ‫اﻟﻌﺎدﯾﺔ‬ ‫اﻟﻠﻐﺔ‬ ‫ﻧص‬ ‫ﯾﺣول‬: system) TTS (Speech-to-Text ‫ﻛﻼم‬-‫إﻟﻰ‬-‫ﻧص‬ ‫ﻧظﺎم‬ ● ‫ﺳﻠﺳﻠﺔ‬ ‫اﻟﻛﻼم‬ ‫إﺷﺎرات‬ ‫ﺗﺣوﯾل‬ ‫ﻋﻣﻠﯾﺔ‬:system) SR (recognition Speech ‫اﻟﻛﻼم‬ ‫ﻋﻠﻰ‬ ‫اﻟﺗﻌرف‬ ‫ﻧظﺎم‬ .‫اﻟﻛﻠﻣﺎت‬ ‫ﻣن‬ ● ‫ﻣن‬ ‫واﺣدة‬ ‫ﻣن‬ ‫اﻟﻛﻼم‬ ‫أو‬ ‫اﻟﻧص‬ ‫ﯾﺗرﺟم‬: system) MT (translation Machine ‫اﻵﻟﺔ‬ ‫ﺗرﺟﻣﺔ‬ ‫ﻧظﺎم‬ ‫إﻟﻰ‬ ‫اﻟطﺑﯾﻌﯾﺔ‬ ‫اﻟﻠﻐﺎت‬ .‫أﺧرى‬ ‫ﻟﻐﺔ‬ ● ‫ﻣن‬ ‫اﻟﻣﻌﻠوﻣﺎت‬ ‫ﻋن‬ ‫ﯾﺑﺣث‬: system) IR (retrieval Information ‫اﻟﻣﻌﻠوﻣﺎت‬ ‫اﺳﺗرﺟﺎع‬ ‫ﻧظﺎم‬ ‫ﻣﺛﻼ‬ ‫اﻟﺑﯾﺎﻧﺎت‬ ‫ﻗواﻋد‬ .‫اﻹﻧﺗراﻧت‬ ‫أو‬ ‫اﻟوﯾب‬ ‫أو‬ ‫اﻹﻧﺗرﻧت‬
  46. 46. https://openai.com/blog/openai-codex/ https://beta.openai.com/playground ‫ًا‬‫ء‬‫ﺑد‬ ‫ﺧﺎص‬ ‫ﺗﺟرﯾﺑﻲ‬ ‫إﺻدار‬ ‫ﻓﻲ‬ ‫اﻟﺗطﺑﯾﻘﺎت‬ ‫ﺑرﻣﺟﺔ‬ ‫واﺟﮭﺔ‬ ‫ﺧﻼل‬ ‫ﻣن‬ ‫ﺳﯾﺻدر‬ ‫و‬ ، ‫رﻣز‬ ‫إﻟﻰ‬ ‫اﻟطﺑﯾﻌﯾﺔ‬ ‫اﻟﻠﻐﺔ‬ ‫ﯾﺗرﺟم‬ ‫اﻟذي‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﻧظﺎم‬ ، OpenAI Codex ‫ﻟﻐﺔ‬ ‫ﻋﺷرة‬ ‫اﺛﻧﺗﻲ‬ ‫ﻣن‬ ‫أﻛﺛر‬ Codex ‫ﯾﺗﻘن‬ .‫ﺷﮭر‬ ‫ﻗﺑل‬ GitHub ‫ﻣﻊ‬ ‫ﺑﺎﻟﺷراﻛﺔ‬ ‫وأطﻠﻘﻧﺎه‬ ‫أﻧﺷﺄﻧﺎه‬ ‫اﻟذي‬ ، GitHub Copilot ‫ﯾدﻋم‬ ‫اﻟذي‬ ‫اﻟﻧﻣوذج‬ ‫ھو‬ Codex .‫اﻟﯾوم‬ ‫ﻣن‬ ‫اﻵن‬ ‫ﻧدﻋو‬ .‫اﻟﺣﺎﻟﯾﺔ‬ ‫ﻟﻠﺗطﺑﯾﻘﺎت‬ ‫طﺑﯾﻌﯾﺔ‬ ‫ﻟﻐﺔ‬ ‫واﺟﮭﺔ‬ ‫ﺑﻧﺎء‬ ‫اﻟﻣﻣﻛن‬ ‫ﻣن‬ ‫ﯾﺟﻌل‬ ‫ﻣﻣﺎ‬ - ‫اﻟﻣﺳﺗﺧدم‬ ‫ﻋن‬ ‫ﻧﯾﺎﺑﺔ‬ ‫وﺗﻧﻔﯾذھﺎ‬ ‫طﺑﯾﻌﯾﺔ‬ ‫ﺑﻠﻐﺔ‬ ‫ﺑﺳﯾطﺔ‬ ‫أواﻣر‬ ‫ﺗﻔﺳﯾر‬ ‫اﻵن‬ ‫وﯾﻣﻛﻧﮫ‬ ، ‫ﺑرﻣﺟﺔ‬ API ‫ﺧﻼل‬ ‫ﻣن‬ OpenAI Codex ‫ﻋﻠﻰ‬ ‫ﻟﻠﺑﻧﺎء‬ ‫واﻟﻣطورﯾن‬ ‫اﻟﺷرﻛﺎت‬ ‫ﻗﺎﺑﻠﺔ‬ ‫إﺑداﻋﯾﺔ‬ ‫ﺣﻠول‬ ‫ﻹﺟراء‬ ً‫ﺔ‬‫ﻣﻧﺎﺳﺑ‬ ‫اﻟﺣواﺳﯾب‬ ‫ُﻌد‬‫ﺗ‬ ‫»ﻻ‬ :‫اﻟﻌﻣﯾق‬ ‫ﻟﻠﺗﻌﻠم‬ ‫ﻧﯾﻔﯾدﯾﺎ‬ ‫ﻣﻌﮭد‬ ‫ﻣن‬ ‫ﺗﻌﻠﯾﻣﯾﺔ‬ ‫ﻣﻧﺎھﺞ‬ ‫وﻣﺻﻣم‬ ‫ﻣرﺷد‬ ،‫ﻣﯾﻧدﯾﻠﺳون‬ ‫ﻣﺎﯾك‬ ‫ﯾﻘول‬ ‫ﻣن‬ ‫ﻣﺟﻣوﻋﺔ‬ ‫إﻧﺷﺎء‬ ‫ﻓﻲ‬ ‫اﺳﺗﺛﻣﺎره‬ ‫ﻟﻧﻌﯾد‬ ‫اﻟوﻗت‬ ‫ﺑﻌض‬ ‫ﻧوﻓر‬ ‫ﻗد‬ ‫اﻷﺗﻣﺗﺔ‬ ‫ﺑﻔﺿل‬ ‫وﻟﻛن‬ ،‫ﻓﻘط‬ ‫ﺑﺎﻹﻧﺳﺎن‬ ‫ًﺎ‬‫ط‬‫ﻣرﺗﺑ‬ ‫اﻟﺣﻠول‬ ‫ﺗﻠك‬ ‫أداء‬ ‫ﯾﺑﻘﻰ‬ ‫إذ‬ ،‫ﻟﻠﺗطوﯾر‬ .«‫اﻟﺗﺻﺎﻣﯾم‬
  47. 47. ‫اﻟطب‬ ‫ﻓﻲ‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﺗطﺑﯾﻘﺎت‬ ‫اﻟﺟراﺣﯾﺔ‬ ‫اﻟﻌﻣﻠﯾﺎت‬ ‫ﻓﻲ‬ ‫اﻟروﺑوﺗﺎت‬ ‫اﺳﺗﺧدام‬ • ‫أﺧذ‬ ‫ﻣن‬ ‫ﻟﻠﺗﺄﻛد‬ ‫اﻟذﻛﯾﺔ‬ ‫اﻟﮭواﺗف‬ ‫ﻣﻊ‬ ‫اﻟوﯾب‬ ‫ﻛﺎﻣﯾرا‬ ‫ﺗوﺻﯾل‬ ‫ﯾﺗم‬ ‫ﺣﯾث‬ ،‫ﻟﻠﻌﻼج‬ ‫اﻟﻣرﯾض‬ ‫اﺳﺗﺧدام‬ ‫)ﻟﻣراﻗﺑﺔ‬ app AICure) ‫ﺗطﺑﯾق‬ ‫ﺑﺈﻧﺷﺎء‬ ‫اﻟﺻﺣﺔ‬ ‫ﻣﻧظﻣﺎت‬ • .‫ﻟﮭم‬ ‫ﻲ‬ّ‫اﻟﺻﺣ‬ ‫اﻟوﺿﻊ‬ ‫ر‬ ّ‫ﺗطو‬ ‫وﻣراﻗﺑﺔ‬ ‫اﻟدواﺋﯾﺔ‬ ‫ﻟﻠﺟرﻋﺔ‬ ‫اﻟﻣرﯾض‬ ‫ﻟﮭم‬ ‫اﻟﻣرﺿﻲ‬ ‫اﻟﺗﺎرﯾﺦ‬ ‫وﻣﻌرﻓﺔ‬ ‫ﻟﻠﻣرﺿﻰ‬ ‫اﻟطﺑﯾﺔ‬ ‫اﻟﺳﺟﻼت‬ ‫إدارة‬ ‫ﻓﻲ‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫اﺳﺗﺧدام‬ • ‫دﻗﺔ‬ ‫وأﻛﺛر‬ ‫ﺑﺳرﻋﺔ‬ ‫اﻟﻣﺧﺗﻠﻔﺔ‬ ‫اﻟﻔﺣوﺻﺎت‬ ‫ﻧﺗﯾﺟﺔ‬ ‫ﺗﺣﻠﯾل‬ ‫ﻓﻲ‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫اﺳﺗﻌﻣﺎل‬ • ‫ﻟﻠﻌﻼج‬ ‫اﻟﺻﺢ‬ ‫اﻟﻣﺟرى‬ ‫اﺧﺗﯾﺎر‬ ‫ﯾﺗم‬ ‫أﺳﺎﺳﮭﺎ‬ ‫ﻋﻠﻰ‬ ‫واﻟﺗﻲ‬ ‫اﻟطﺑﯾﺔ‬ ‫اﻟﺗﻘﺎرﯾر‬ ‫ﻓﻲ‬ ‫اﻟﻣوﺟودة‬ ‫اﻟﻣﻼﺣظﺎت‬ ‫ﺗﺣﻠﯾل‬ • ‫رﻗﻣﯾﺔ‬ ‫ﻛﻣﻣرﺿﺔ‬ ‫ﻟﻠطﺑﯾب‬ ‫اﻟﻣﺗﻛررة‬ ‫اﻟزﯾﺎرات‬ ‫ﺑﯾن‬ ‫ﻟﻠﻌﻼج‬ ‫ﺗﺟﺎوﺑﮫ‬ ‫وﻣدى‬ ‫اﻟﻣرﯾض‬ ‫وﺿﻊ‬ ‫ﻣراﻗﺑﺔ‬ ‫ﻓﻲ‬ ‫اﻟﺗﻘﻧﯾﺎت‬ ‫ھذه‬ ‫اﺳﺗﺧدام‬ • ‫ﯾطرح‬ ‫ﺷﺧﺻﯾﺔ‬ ‫ﺗﻔﺎﻋﻠﯾﺔ‬ ‫دردﺷﺔ‬ ‫ﺧﻼل‬ ‫ﻣن‬ ‫وذﻟك‬ ،‫اﻟﻼزﻣﺔ‬ ‫اﻟﻧﺻﯾﺣﺔ‬ ‫ﻟك‬ ‫وﯾﻘدم‬ ‫ﻟﯾﺳﺎﻋدك‬ ‫ﻋﻠﯾك‬ ‫اﻟظﺎھرة‬ ‫اﻷﻋراض‬ ‫أو‬ ‫أﻟم‬ ‫ﻣن‬ ‫ﺗﺷﻌر‬ ‫ﺑﻣﺎ‬ Ada ‫ﺗﺧﺑر‬ ‫أن‬ ‫ﯾﻣﻛﻧك‬ .‫ﺑﮫ‬ ‫ﺗﺷﻌر‬ ‫ﻟﻣﺎ‬ ‫اﻟﻣﺣﺗﻣﻠﺔ‬ ‫اﻟﺗﻔﺳﯾرات‬ ‫ﻋﻠﻰ‬ ‫اﻟﻌﺛور‬ ‫ﻓﻲ‬ ‫ﻟﻣﺳﺎﻋدﺗك‬ ‫اﻟﻣﺷﺎﺑﮭﺔ‬ ‫اﻟﺣﺎﻻت‬ ‫ﻣن‬ ‫اﻵﻻف‬ ‫ﻣﻊ‬ ‫إﺟﺎﺑﺎﺗك‬ ‫وﯾﻘﺎرن‬ ‫ﺑﺳﯾطﺔ‬ ‫أﺳﺋﻠﺔ‬ ‫ﺧﻼﻟﮭﺎ‬ Ada ‫اﻷﻣراض‬ ‫ﺣﺗﻰ‬ ‫اﻟﺑرد‬ ‫ﻧزﻻت‬ ‫ﻣن‬ ‫ًا‬‫ء‬‫اﺑﺗدا‬ ‫واﻷﻋراض‬ ‫اﻷﻣراض‬ ‫ﻣن‬ ‫ﻛﺑﯾرة‬ ‫ﻣﺟﻣوﻋﺔ‬ ‫ﻋﻠﻰ‬ ‫ﻟﯾﺗﻌرف‬ ‫واﻟﻌﻠﻣﺎء‬ ‫اﻷطﺑﺎء‬ ‫ﻣن‬ ‫ﻛﺑﯾرة‬ ‫ﻣﺟﻣوﻋﺔ‬ ‫ﻗﺑل‬ ‫ﻣن‬ Ada ‫ﺗطوﯾر‬ ‫ﺗم‬ .‫اﻟﻧﺎدرة‬ ‫ﺗﻘﺎرﯾرك‬ ‫طﺑﺎﻋﺔ‬ ‫اﻟﺗطﺑﯾق‬ ‫ﻟك‬ ‫ﯾﺗﯾﺢ‬ ‫ﻛﻣﺎ‬ ،‫اﻟطوارئ‬ ‫رﻋﺎﯾﺔ‬ ‫طﻠب‬ ‫أو‬ ،‫أﺧﺻﺎﺋﻲ‬ ‫أو‬ ‫ﺻﯾدﻟﻲ‬ ‫أو‬ ‫طﺑﯾب‬ ‫زﯾﺎرة‬ ‫ذﻟك‬ ‫ﯾﺷﻣل‬ ‫وﻗد‬ ‫ﻓﻌﻠﮫ‬ ‫ﯾﻣﻛﻧك‬ ‫ﻣﺎ‬ Ada ‫ﺳﯾﻘﺗرح‬ ‫ﺗﻘﯾﯾﻣك‬ ‫ﺑﻌد‬ .‫طﺑﯾﺑك‬ ‫ﻣﻊ‬ ‫ﻣﺷﺎرﻛﺗﮭﺎ‬ ‫أو‬ ‫اﻟﺻﺣﯾﺔ‬ ،‫ﺑﻼي‬ ‫ﺟوﺟل‬ ‫ﻣﺗﺟر‬ ‫ﻋﻠﻰ‬ ‫أﻧدروﯾد‬ ‫أﺟﮭزة‬ ‫ﻟﻣﺳﺗﺧدﻣﻲ‬ ‫ًﺎ‬‫ﻧ‬‫ﻣﺟﺎ‬ ‫ﻣﺗﺎح‬ ‫اﻟﺗطﺑﯾق‬
  48. 48. ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﺗطﺑﯾﻘﺎت‬ ‫ﺑﺎﻟﺗﻌﻠﯾم‬ ‫اﻟذﻛﻲ‬ ‫اﻟﻣﺣﺗوى‬: ‫ﻛﺗب‬ ‫اﻟﻰ‬ ‫اﻟﺗﻘﻠﯾدﯾﺔ‬ ‫اﻟﺗﻌﻠﯾﻣﯾﺔ‬ ‫اﻟﻛﺗب‬ ‫ﺗﺣوﯾل‬ ‫ﺧﻼل‬ ‫ﻣن‬ ‫اﻟﺗﻌﻠﯾﻣﯾﺔ‬ ‫ﺑﺎﻟﻐﺎﯾﺔ‬ ‫اﻟﺻﻠﺔ‬ ‫وﺛﯾﻘﺔ‬ ‫ذﻛﯾﺔ‬ ‫اﻟذﻛﻲ‬ ‫اﻟﺗﻌﻠﯾم‬ ‫أﻧظﻣﺔ‬ ‫ﺗدﺧل‬ ‫اﻟﻰ‬ ‫اﻟﺣﺎﺟﺔ‬ ‫دون‬ ‫ﻓورﯾﺔ‬ ‫دروس‬ ‫ﺑﺗوﻓﯾر‬ ‫ﺗﻘوم‬ ‫ﺑﺷري‬ ‫ﻣدرس‬ ‫ﻣن‬ ‫اﻻﻓﺗراﺿﻲ‬ ‫اﻟواﻗﻊ‬ ‫ﺗﻘﻧﯾﺔ‬ ‫ﺧوض‬ ‫ﻓرﺻﺔ‬ ‫ﻟﻠﻣﺳﺗﺧدم‬ ‫ﺗﺗﯾﺢ‬ ‫ﺗﻔﺎﻋﻠﯾﺔ‬ ‫ﻣﺣﺎﻛﺎة‬ ‫ﻣﺧﺗﻠﻔﺔ‬ ‫ﺗﺟﺎرب‬ ‫اﻟﻣﻌزز‬ ‫اﻟواﻗﻊ‬ ‫ﺗﻘﻧﯾﺔ‬ ‫ﻓﻲ‬ ‫اﻷﺑﻌﺎد‬ ‫ﺛﻼﺛﻲ‬ ‫أو‬ ‫ﺛﻧﺎﺋﻲ‬ ‫ﺑﻌرض‬ ‫اﻟﻣﺷﺎھد‬ ‫ﺗﻧﻘل‬ ‫اﻟﻣﺳﺗﺧدم‬ ‫ﻣﺣﯾط‬
  49. 49. ‫اﻟطﺎﻗﺔ‬ ‫ﻓﻲ‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﺗطﺑﯾﻘﺎت‬ .‫اﻵﻟﯾﺔ‬ ‫اﻹﺿﺎءة‬ ‫اﺳﺗﺷﻌﺎر‬ ‫وأﺟﮭزة‬ ‫اﻟذﻛﯾﺔ‬ ‫ﺑﺎﻟﻣﻘﺎﺑس‬ ‫اﻟﺗﺣﻛم‬ ‫ﺧﺎﻟل‬ ‫ﻣن‬ ‫اﻟطﺎﻗﺔ‬ ‫اﺳﺗﮭﻼك‬ ‫ﺧﻔض‬ ‫ﻋﻠﻰ‬ ‫ﻗﺎدرة‬ .‫ﻣﻛﺎﻧﮫ‬ ‫ﻣن‬ ‫اﻟﺷﺧص‬ ‫ك‬ّ‫ﺗﺣر‬ ‫إﻟﻰ‬ ‫اﻟﺣﺎﺟﺔ‬ ‫دون‬ ‫اﻟﮭﺎﺗف‬ ‫ﺧﺎﻟل‬ ‫ﻣن‬ ‫اﻟﻣﻧزل‬ ‫إﺿﺎءة‬ ‫ﻓﻲ‬ ‫اﻟﺗﺣﻛم‬ • .‫اﻟﺷﺧص‬ ‫ﯾرﻏﺑﮫ‬ ‫اﻟذي‬ ‫اﻟوﺟﮫ‬ ‫ﻋﻠﻰ‬ ‫اﻟﻣﻧزل‬ ‫ﺣرارة‬ ‫ﺑﺗﻧظﯾم‬ ‫ﺗﻘوم‬ ‫اﻟﻣطﻠوﺑﺔ‬ ‫اﻟﺣرارة‬ ‫درﺟﺔ‬ ‫ﯾﻧﺎﺳب‬ ‫ﺑﻣﺎ‬ ً‫ﺎ‬‫ﻣﺳﺑﻘ‬ ‫ﻣﺑرﻣﺟﺔ‬ ‫ﺣرارة‬ ‫ﻣﻧظﻣﺎت‬ ‫اﺳﺗﺧدام‬ •
  50. 50. ‫واﻛﺗﺷﺎف‬ ‫اﻟﺑﯾﺎﻧﺎت‬ ‫ﻣن‬ ‫ﻟﻠﺗﻌﻠم‬ ‫اﻵﻟﻲ‬ ‫اﻟﺗﻌﻠم‬ BIM ‫ﺑرﻧﺎﻣﺞ‬ ‫ﯾﺳﺗﺧدم‬ .‫ﺑراﻣﺟﮭﺎ‬ ‫وإﻣﻛﺎﻧﺎت‬ ‫ﻛﻔﺎءة‬ ‫ﻟﺗﺣﺳﯾن‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫اﺳﺗﺧدام‬ ‫ﻓﻲ‬ ‫ﺑﺎﻟﻔﻌل‬ BIM ‫ﺑرﻣﺟﯾﺎت‬ ‫ﺷرﻛﺎت‬ ‫ﺑدأت‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﯾﺳﺗﺧدﻣﮭﺎ‬ ‫واﻟﺗﻲ‬ ، ‫اﻟﺑﯾﺎﻧﺎت‬ ‫ﻣن‬ ‫ًﺎ‬‫ﻧ‬‫أطﻧﺎ‬ BIM ‫ﺑرﻧﺎﻣﺞ‬ ‫ﯾﺟﻣﻊ‬ .‫وﺗﺣﺳﯾﻧﮭﺎ‬ ‫اﻟﻧﻣوذج‬ ‫ﺑﻧﺎء‬ ‫ﻋﻣﻠﯾﺔ‬ ‫أﺗﻣﺗﺔ‬ ‫ﻛﯾﻔﯾﺔ‬ ‫ﺣول‬ ‫ﻣﺳﺗﻘﻠﺔ‬ ‫ﻗرارات‬ ‫اﺗﺧﺎذ‬ ، ‫ﺗﻘﺳﯾﻣﮭﺎ‬ ‫و‬ ‫اﻷﻧﻣﺎط‬ ‫ﻣن‬ ‫ﯾﻘﻠل‬ ‫وﻟﻛﻧﮫ‬ ، ‫اﻟﻌﻣﻠﯾﺎت‬ ‫ﺗﺳرﯾﻊ‬ ‫إﻟﻰ‬ ‫ﻓﻘط‬ ‫ھذا‬ ‫ﯾؤدي‬ ‫ﻻ‬ .‫اﻟﺑﺷري‬ ‫اﻟﻌﻘل‬ ‫ﯾﺳﺗطﯾﻊ‬ ‫ﻣﻣﺎ‬ ‫أﺳرع‬ ‫ﺣل‬ ‫أﻓﺿل‬ ‫ﻋﻠﻰ‬ ‫واﻟﻌﺛور‬ ‫اﻟﺑﻧﺎء‬ ‫ﻣﺷروع‬ ‫ﺟواﻧب‬ ‫ﻣن‬ ‫ﺟﺎﻧب‬ ‫ﻛل‬ ‫إﻣﻛﺎﻧﯾﺎت‬ ‫ﻻﺳﺗﻛﺷﺎف‬ .‫اﻟﻣواﻗﻊ‬ ‫ﻓﻲ‬ ‫اﻟﺳﻼﻣﺔ‬ ‫ﯾﺣﺳن‬ ‫أن‬ ‫ﯾﻣﻛن‬ ‫اﻟذي‬ ‫اﻟﺑﺷري‬ ‫اﻟﺧطﺄ‬ ‫ﻣﺧﺎطر‬ ‫وﻧﺗﯾﺟﺔ‬ ‫اﻟﺑﻧﺎء‬ ‫ﻓﻲ‬ ‫ﻣﺷﻛﻠﺔ‬ ‫اﻹﻧﺗﺎﺟﯾﺔ‬ ‫ﻛﺎﻧت‬ ‫ﻟطﺎﻟﻣﺎ‬ .‫اﻟﺻﻧﺎﻋﺔ‬ ‫ﻓﻲ‬ ‫اﻟﺗﻘدم‬ ‫ﻣن‬ ‫ﻣزﯾد‬ ‫ﻹﺣراز‬ ، ‫اﻟﺗﺎﻟﻲ‬ ‫اﻟﻣﺳﺗوى‬ ‫إﻟﻰ‬ BIM ‫دﻓﻊ‬ ‫ﻋﻠﻰ‬ ‫اﻟﻘدرة‬ ‫اﻵن‬ ‫ﻟدﯾﻧﺎ‬ ‫أن‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫أظﮭر‬ ‫ﻓﻲ‬ .‫ﺑﺎﻟﺑﻧﺎء‬ ‫ﻣرﺗﺑطﺔ‬ ‫ﻋﻣﺎل‬ ‫ﺧﻣﺳﺔ‬ ‫ﻛل‬ ‫ﻣن‬ ‫واﺣدة‬ ‫وﻓﺎة‬ ‫؛‬ ‫ﻟﻠﺣوادث‬ ‫ﻣﻌرﺿﺔ‬ ‫ﺻﻧﺎﻋﺔ‬ ‫اﻟﺑﻧﺎء‬ ‫أن‬ ‫اﻟﻣﻌروف‬ ‫ﻣن‬ .‫أﺧرى‬ ‫ﺻﻧﺎﻋﺔ‬ ‫أي‬ ‫ﻣن‬ ‫ﺑﻛﺛﯾر‬ ‫أﺑطﺄ‬ ‫ﺑوﺗﯾرة‬ ‫اﻟﺻﻧﺎﻋﺔ‬ ‫ﺗطورت‬ ، ‫ﻟذﻟك‬ ‫ﺑﺎﻟذﻛﺎء‬ ‫اﻟﻣدﻋوﻣﺔ‬ BIM ‫ﻟﻧﻣﺎذج‬ ‫ﯾﻣﻛن‬ .‫اﻟﻣﺷروع‬ ‫ﺗﻧﻔﯾذ‬ ‫ﻗﺑل‬ ‫إﺿﺎﻓﯾﺔ‬ ‫أﻣﺎن‬ ‫ﺗداﺑﯾر‬ ‫وﺿﻊ‬ ‫ﯾﺳﮭل‬ ‫ﻣﻣﺎ‬ ، ‫اﻟﻣوﻗﻊ‬ ‫ﻓﻲ‬ ‫اﻟﺳﻼﻣﺔ‬ ‫ﺑﺗﺣﺳﯾن‬ BIM ‫ﺑرﻧﺎﻣﺞ‬ ‫ﻗﺎم‬ ، ‫اﻷﺧﯾرة‬ ‫اﻟﺳﻧوات‬ ‫اﻟﺑﻧﺎء‬ ‫ﻣﺷﺎرﯾﻊ‬ ‫ﺗﺣﻠﯾل‬ ‫ﻋﻠﻰ‬ ‫ﺑﺎﻟﻘدرة‬ ‫اﻵن‬ BIM ‫ﺑرﻧﺎﻣﺞ‬ ‫ﯾﺗﻣﺗﻊ‬ ، ‫اﻵﻟﻲ‬ ‫اﻟﺗﻌﻠم‬ ‫ﺧﻼل‬ ‫ﻣن‬ .‫وﻗوﻋﮭﺎ‬ ‫ﻗﺑل‬ ‫اﻟﻣوﻗﻊ‬ ‫ﻓﻲ‬ ‫ﺑﺎﻟﺣوادث‬ ‫واﻟﺗﻧﺑؤ‬ ، ‫اﻟﺗﺎﻟﻲ‬ ‫اﻟﻣﺳﺗوى‬ ‫إﻟﻰ‬ ‫ھذا‬ ‫ﻧﻘل‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ . ‫واﻟﺳﻘوط‬ ‫واﻻﻧزﻻق‬ ‫اﻟﻣرﺗﻔﻌﺎت‬ ‫ﻓﻲ‬ ‫اﻟﻌﻣﺎل‬ ‫ﻣﺧﺎطر‬ ‫ﻣﺛل‬ ‫اﻟﻣﺧﺎطر‬ ‫وﺗﺣدﯾد‬ ‫وﺣدھﺎ‬ ‫اﻟﺻورة‬ ‫ﻣن‬
  51. 51. ‫ﻋﻠﻰ‬ ً‫ء‬‫ﺑﻧﺎ‬ ‫ﻟﻠﺗطﺑﯾق‬ ‫ﻗﺎﺑﻠﯾﺔ‬ ‫اﻟﻣﺧرﺟﺎت‬ ‫أﻛﺛر‬ ‫إﻧﺷﺎء‬ ‫ﻟﻶﻟﺔ‬ ‫ﯾﻣﻛن‬ ‫ﺑﺣﯾث‬ ‫اﻟﻧظﺎم‬ ‫ﻓﻲ‬ "‫"اﻟﻘواﻋد‬ ‫ﻣن‬ ‫ﻣﺟﻣوﻋﺔ‬ ‫أو‬ ‫اﻟﺗﺻﻣﯾم‬ ‫ﻣﻌﺎﯾﯾر‬ ‫ﺑﺈدﺧﺎل‬ ‫ﻟﻠﻣﺳﺗﺧدم‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﯾﺳﻣﺢ‬ ‫ﯾﻌﻧﻲ‬ ‫ﻣﻣﺎ‬ ، ‫ًﺎ‬‫ﺿ‬‫أﯾ‬ ‫اﻟﺑﻌض‬ ‫ﺑﺑﻌﺿﮭﺎ‬ ‫اﻟﺧطط‬ ‫ھذه‬ ‫ﺟﻣﯾﻊ‬ ‫ﺗرﺗﺑط‬ .‫واﻟﻣزﯾد‬ ‫اﻷرﺿﯾﺔ‬ ‫ﻣﺧطط‬ ‫وﺗﺻﻣﯾﻣﺎت‬ ‫ﻟﻠﻣوﻗﻊ‬ ‫أﻗدام‬ ‫آﺛﺎر‬ ‫ﻹﻧﺷﺎء‬ ‫ھذا‬ ‫اﺳﺗﺧدام‬ ‫ﯾﻣﻛن‬ ، BIM ‫ﺣﯾث‬ ‫ﻣن‬ .‫اﺣﺗﯾﺎﺟﺎﺗك‬ ‫أﻋﻠﻰ‬ ‫ﻟﺿﻣﺎن‬ ‫اﻟﺗﺻﻣﯾم‬ ‫ﻣﺟﺎﻻت‬ ‫ﺟﻣﯾﻊ‬ ‫ﻓﻲ‬ ‫اﻟﻼزﻣﺔ‬ ‫اﻟﺗﻌدﯾﻼت‬ ‫إﺟراء‬ ‫ﺳﯾﻌرف‬ ‫ﺟﮭﺎزك‬ ‫ﻓﺈن‬ ، ‫اﻟﻣﺛﺎل‬ ‫ﺳﺑﯾل‬ ‫ﻋﻠﻰ‬ ، ‫اﻟﻌﻣﻠﯾﺔ‬ ‫أﺛﻧﺎء‬ ‫اﻟﻣوﻗﻊ‬ ‫ﺑﺻﻣﺔ‬ ‫ﻓﻲ‬ ‫اﻟﻘﯾﺎﺳﺎت‬ ‫ﺑﺗﻐﯾﯾر‬ ‫ﻗﻣت‬ ‫إذا‬ ‫أﻧﮫ‬ .‫ﻣﺷروع‬ ‫أﻧﺣﺎء‬ ‫ﺟﻣﯾﻊ‬ ‫ﻓﻲ‬ ‫دﻗﺔ‬ ‫اﻟﻣﻌﻠوﻣﺎت‬ ‫وﺗﻘدﯾم‬ ، ‫ًﺎ‬‫ﺑ‬‫ﺗﻘرﯾ‬ ‫ﯾوﻣﻲ‬ ‫أﺳﺎس‬ ‫ﻋﻠﻰ‬ ‫اﻟﺗﺣدﯾث‬ ‫ﻋﻠﻰ‬ ‫ﻗﺎدرون‬ ‫أﻧﮭم‬ ‫ﯾﻌﻧﻲ‬ ‫ھذا‬ .‫واﻟﺟﺎرﯾﺔ‬ ‫اﻟﺳﺎﺑﻘﺔ‬ ‫اﻟﻣﺷﺎرﯾﻊ‬ ‫ﻣن‬ ‫ًﺎ‬‫ﻣ‬‫داﺋ‬ ‫ﺗﺗﻌﻠم‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﺗﺳﺗﺧدم‬ ‫اﻟﺗﻲ‬ ‫اﻷﻧظﻣﺔ‬ ‫ﺑﻣﺷﺎرﻛﺗﮭﺎ‬ ‫وﯾﺳﻣﺢ‬ ‫أﺳرع‬ ‫ﺑﺷﻛل‬ ‫ﺟدﯾدة‬ ‫ﺗﺻﻣﯾم‬ ‫ﺣﻠول‬ ‫إﯾﺟﺎد‬ ‫ﻓﻲ‬ ‫وﯾﺳﺎﻋد‬ ‫وﺗﻧﻣﯾﺗﮭﺎ‬ ‫اﻟﺻﻧﺎﻋﺔ‬ ‫ﺗطوﯾر‬ ‫ﻓﻲ‬ ‫ھذا‬ ‫ﺳﯾﺳﺎﻋد‬ .‫ﻣﻣﻛن‬ ‫وﻗت‬ ‫أﻗرب‬ ‫ﻓﻲ‬ ‫اﻟﺑﻧﺎء‬ ‫ﻟﻌﻣﺎل‬ ‫وﻓﻌﺎﻟﯾﺔ‬ ‫ﻛﻔﺎءة‬ ‫اﻷﻛﺛر‬ ‫ﺟﻣﯾﻊ‬ ‫ﻓﻲ‬ ‫اﻟﻌﻣﻠﯾﺎت‬ ‫ﺟﻌل‬ ‫ﻣﻣﺎ‬ ، ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﺑﻣﺳﺎﻋدة‬ BIM ‫ﺗطوﯾر‬ ‫إﻟﻰ‬ ‫اﻷﺧﯾرة‬ ‫اﻟﺳﻧوات‬ ‫ﻓﻲ‬ ‫اﻟﺑﻧﺎء‬ ‫ﺗﻛﻧوﻟوﺟﯾﺎ‬ ‫ﻓﻲ‬ ‫اﻻﺳﺗﺛﻣﺎر‬ ‫ﻣن‬ ‫اﻟﻣزﯾد‬ ‫أدى‬ .‫اﻟﻣﺟﺎﻻت‬ ‫ﺟﻣﯾﻊ‬ ‫ﻓﻲ‬ ‫وﻟﻛن‬ .‫اﻟﻣﺷروع‬ ‫إﻧﺟﺎز‬ ‫ﺳرﻋﺔ‬ ‫وﺗﺣﺳﯾن‬ ‫اﻷﺧطﺎء‬ ‫وﺗﻘﻠﯾل‬ ‫اﻷﻣور‬ ‫إﺑطﺎء‬ ‫إﻟﻰ‬ ‫ﺗؤدي‬ ‫ﻛﺎﻧت‬ ‫اﻟﺗﻲ‬ ‫اﻟﻘﺻور‬ ‫أوﺟﮫ‬ ‫ﻋﻠﻰ‬ ‫اﻟﻘﺿﺎء‬ ‫ﻓﻲ‬ ‫اﻟﺟدﯾدة‬ ‫اﻟﺗﻘﻧﯾﺔ‬ ‫ھذه‬ ‫ﺳﺎﻋدت‬ .‫ﻛﻔﺎءة‬ ‫أﻛﺛر‬ ‫اﻟﻣﺟﺎﻻت‬ .‫ًﺎ‬‫ﺑ‬‫ﻗرﯾ‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﺳﯾﻔﺗﺣﮭﺎ‬ ‫اﻟﺗﻲ‬ BIM ‫ﻟﺑرﻣﺟﯾﺎت‬ ‫اﻹﻣﻛﺎﻧﺎت‬ ‫ﻣن‬ ‫اﻟﻛﺛﯾر‬ ‫ھﻧﺎك‬ ‫ﯾزال‬ ‫ﻻ‬ ، ‫ﺑﺎﻟﻔﻌل‬ ً‫ﻼ‬‫طوﯾ‬ ‫ًﺎ‬‫ط‬‫ﺷو‬ ‫ﻗطﻌﻧﺎ‬ ‫ﺑﯾﻧﻣﺎ‬
  52. 52. ● Spacemaker ai Spacemaker ، ‫ﻣﻧﺗﺟﺎت‬ ‫أﺣد‬ Autodesk ، ‫وﺗﺻﻣﯾم‬ ‫وﺗﺣﻠﯾل‬ ‫اﻟﺗﻌﺎون‬ ‫ﻣن‬ ‫اﻟﻔرق‬ ‫ّن‬‫ﻛ‬‫ﯾﻣ‬ ، ‫اﻟﺳﺣﺎﺑﺔ‬ ‫ﻋﻠﻰ‬ ‫ﻗﺎﺋم‬ ‫اﺻطﻧﺎﻋﻲ‬ ‫ذﻛﺎء‬ ‫ﺑرﻧﺎﻣﺞ‬ ‫ھو‬ ‫أﻓﺿل‬ ‫ﻣﻧﺎزل‬ .‫أﺳرع‬ ‫ﻣﺷﺎرﯾﻊ‬ .‫اﻗل‬ ‫ﻣﺧﺎطر‬ .‫اﻟﻌﻘﺎرﯾﺔ‬ ‫اﻟﻣواﻗﻊ‬. https://www.spacemakerai.com/ https://www.youtube.com/watch?v=jy15qucUtr0
  53. 53. Smart Home Devices
  54. 54. ● Generative Design in Revit - ‫اﻟﺗوﻟﯾدﯾﺔ‬ ‫اﻟﺗﺻﻣﯾم‬ ‫إﻣﻛﺎﻧﺎت‬ ‫اﻛﺗﺷف‬ ‫ﻣﺟﻣوﻋﺔ‬ ‫ﺧﻼل‬ ‫ﻣن‬ ‫ًﺎ‬‫ﯾ‬‫ﺣﺻر‬ ‫اﻟﻣﺗوﻓرة‬ ‫ﺗﺳﺎﻋدك‬ .Revit 2021 ‫ﻣن‬ ‫ًا‬‫ء‬‫ﺑد‬ AEC ‫ﻋﻠﻰ‬ ‫اﻟﺗوﻟﯾدي‬ ‫اﻟﺗﺻﻣﯾم‬ ‫ﻋﻣل‬ ‫ﺗدﻓﻘﺎت‬ ‫ﻋن‬ ‫اﻟﻛﺑﯾرة‬ ‫ﻟﻠﻣﺷﻛﻼت‬ ‫ﺣﻠول‬ ‫اﺳﺗﻛﺷﺎف‬ ‫اﻟﺳرﯾﻊ‬ ‫واﻟﺗﻘﯾﯾم‬ ‫واﻟﺗﺣﻠﯾل‬ ‫اﻻﺧﺗﺑﺎر‬ ‫طرﯾق‬ .‫ﺗﮭﻣك‬ ‫اﻟﺗﻲ‬ ‫ﻟﻠﺗﺣدﯾﺎت‬ ‫اﻟﺗﺻﻣﯾم‬ ‫ﻟﺗﻛرارات‬ https://www.youtube.com/wat ch?v=wdjw_WI665c
  55. 55. Dynamo https://bimarabia.com/OmarSelim/dynamo-2/ Grasshopper for Rhino (Arabic) ‫ﺑﺎﻟﻌرﺑﻲ‬ ‫اﻟﺟرﺳﮭوﺑر‬ ‫ﺷرح‬ https://www.youtube.com/playlist?list=PLNMim060_nUKsuVDh13xxMvX4Uuc6ReeC
  56. 56. isovists https://isovists.org/ ‫أداة‬ ‫؛‬ Isovist ‫ﺑرﻧﺎﻣﺞ‬ ‫ﺗﻧزﯾﻼت‬ ‫ﯾﺳﺗﺿﯾف‬ .‫اﻟﻣﺗﻘدم‬ ‫اﻟﻣﻛﺎﻧﻲ‬ ‫ﻟﻠﺗﺣﻠﯾل‬ ‫ﻣﻧﺻﺔ‬ ‫ﻋن‬ ‫ﻋﺑﺎرة‬ Isovists.org ‫ﻟﻠرﺳوﻣﺎت‬ isovist ‫اﻹﯾزوﻓﯾﺳت‬ ‫اﻟﻣﺳﺢ‬ ‫ﻋﻠﻰ‬ ‫ﺗﻌﺗﻣد‬ ‫اﻟﻣﻛﺎﻧﻲ‬ ‫ﻟﻠﺑﺣث‬ ‫وﺑدﯾﮭﯾﺔ‬ ‫اﻟوﺿوح‬ ‫وﻋﺎﻟﯾﺔ‬ ‫ﻣﺗﻛﺎﻣﻠﺔ‬ ‫اﻟﻣﺧﺗﻠﻔﺔ‬ ‫ﻟﻸﺷﻛﺎل‬ ‫وﺗﻌرﯾﻔﺎت‬ ، ‫اﻟﺗﺣﻠﯾل‬ ‫ﺑرﻣﺟﯾﺎت‬ ‫ﻻﺳﺗﺧدام‬ ً ‫دﻟﯾﻼ‬ ‫ًﺎ‬‫ﺿ‬‫أﯾ‬ Isovists.org ‫ﯾوﻓر‬ .‫اﻟﻣﻌﻣﺎرﯾﺔ‬ ‫ﻣﺟﺎﻧﻲ‬ isovist ‫ﺑرﻧﺎﻣﺞ‬ .‫اﻟﺣﺎﻟﺔ‬ ‫ﻟدراﺳﺎت‬ ‫ًا‬‫د‬‫ﻣﺗزاﯾ‬ ‫ًﺎ‬‫ﻔ‬‫وأرﺷﯾ‬ ، ‫ﯾﺳﮭﻠﮭﺎ‬ ‫اﻟﺗﻲ‬ ‫اﻟﻣﻛﺎﻧﻲ‬ ‫اﻟﺗﺣﻠﯾل‬ ‫ﻣﻘﺎﯾﯾس‬ ‫ﻣن‬ .PC ‫و‬ Mac ‫ﻷﺟﮭزة‬ ‫وﻣﺗﺎح‬
  57. 57. depthMapX ‫ﻹﺟراء‬ ‫اﻟﻣﻧﺻﺎت‬ ‫ﻣﺗﻌددة‬ ‫ﺑرﻣﺟﯾﺔ‬ ‫ﻣﻧﺻﺔ‬ ‫ﻋن‬ ‫ﻋﺑﺎرة‬ deepmapX ‫اﻟﻌﻣﻠﯾﺎت‬ ‫ﻟﻔﮭم‬ ‫اﻟﻣﺻﻣﻣﺔ‬ ‫اﻟﻣﻛﺎﻧﯾﺔ‬ ‫اﻟﺷﺑﻛﺔ‬ ‫ﺗﺣﻠﯾﻼت‬ ‫ﻣن‬ ‫ﻣﺟﻣوﻋﺔ‬ ‫ﻣن‬ ‫ﻣﺗﻧوﻋﺔ‬ ‫ﻣﺟﻣوﻋﺔ‬ ‫ﻋﻠﻰ‬ ‫ﯾﻌﻣل‬ ‫إﻧﮫ‬ .‫اﻟﻣﺑﻧﯾﺔ‬ ‫اﻟﺑﯾﺋﺔ‬ ‫داﺧل‬ ‫اﻻﺟﺗﻣﺎﻋﯾﺔ‬ ‫أو‬ ‫اﻟﻣدن‬ ‫إﻟﻰ‬ ‫اﻟﺻﻐﯾرة‬ ‫اﻟﺣﺿرﯾﺔ‬ ‫اﻟﻣﻧﺎطق‬ ‫ﺧﻼل‬ ‫ﻣن‬ ‫اﻟﺑﻧﺎء‬ ‫ﻣن‬ ‫اﻟﻣﻘﺎﯾﯾس‬ ‫ﻟﻌﻧﺎﺻر‬ ‫ﺧرﯾطﺔ‬ ‫إﻧﺗﺎج‬ ‫ھو‬ ‫اﻟﺑرﻧﺎﻣﺞ‬ ‫ﻣن‬ ‫اﻟﮭدف‬ ، .‫ﺑﺄﻛﻣﻠﮭﺎ‬ ‫اﻟوﻻﯾﺎت‬ ، ‫اﻟﻣﺛﺎل‬ ‫ﺳﺑﯾل‬ ‫)ﻋﻠﻰ‬ ‫اﻟﻌﻼﻗﺎت‬ ‫ﺑﺑﻌض‬ ‫ورﺑطﮭﺎ‬ ، ‫اﻟﻣﻔﺗوﺣﺔ‬ ‫اﻟﻣﺳﺎﺣﺔ‬ ‫ﻣن‬ ‫اﻟﮭدف‬ .‫اﻟﻧﺎﺗﺟﺔ‬ ‫ﻟﻠﺷﺑﻛﺔ‬ ‫اﻟﺑﯾﺎﻧﻲ‬ ‫اﻟرﺳم‬ ‫ﺗﺣﻠﯾل‬ ‫إﺟراء‬ ‫ﺛم‬ (‫اﻟﺗداﺧل‬ ‫أو‬ ‫اﺟﺗﻣﺎﻋﯾﺔ‬ ‫أھﻣﯾﺔ‬ ‫ﻟﮭﺎ‬ ‫ﯾﻛون‬ ‫ﻗد‬ ‫اﻟﺗﻲ‬ ‫اﻟﻣﺗﻐﯾرات‬ ‫اﺷﺗﻘﺎق‬ ‫ھو‬ ‫اﻟﺗﺣﻠﯾل‬ .‫اﺧﺗﺑﺎرﯾﺔ‬ Tasos Varoudis ‫وطوره‬ Alasdair Turner ‫اﺑﺗﻛﺎر‬ ‫ﻣن‬ ‫إﻧﮫ‬ Space Syntax Laboratory The Bartlett ، ‫ﻣن‬ UCL ‫ذﻟك‬ ‫ﯾﺗﺿﻣن‬ .Depthmap ‫ﻣن‬ ‫ﻧﺳﺧﺗﺎن‬ ‫ًﺎ‬‫ﯾ‬‫ﺣﺎﻟ‬ ‫ﯾﺗوﻓر‬ .UCL Silicon Graphics ‫اﻟﺗﺷﻐﯾل‬ ‫ﻟﻧظﺎم‬ ‫ﻛﺗﺎﺑﺗﮫ‬ ‫ﺗم‬ ‫اﻟذي‬ DepthMap ‫ﻣرت‬ ‫اﻟﺣﯾن‬ ‫ذﻟك‬ ‫وﻣﻧذ‬ .1998 ‫ﻋﺎم‬ ‫ﻓﻲ‬ ‫ﺑﺳﯾط‬ ‫ﻣﻌﺎﻟﺟﺔ‬ ‫ﻛﺑرﻧﺎﻣﺞ‬ IRIX ‫ﻣن‬ ‫اﻟﻣﺻدر‬ ‫ﻣﻔﺗوح‬ ‫اﻟﺣﺎﻟﻲ‬ ‫اﻹﺻدار‬ ‫إﻟﻰ‬ ‫ﻟﻠوﺻول‬ ‫اﻟﺗﺣوﻻت‬ ‫ﻣن‬ ‫ﺑﺎﻟﻌدﯾد‬ ‫و‬ Windows ‫ذﻟك‬ ‫ﻓﻲ‬ ‫ﺑﻣﺎ‬ ‫ﻣﺗﻌددة‬ ‫ﻟﻣﻧﺻﺎت‬ deepmapX .Macintosh
  58. 58. ● Finch3d ‫ﺳﻛﻧﻲ‬ ‫أو‬ ‫ﺗﺟﺎري‬ ‫ﻣﺑﻧﻰ‬ ‫ﻣﻊ‬ ‫ﺗﻌﻣل‬ ‫ﻛﻧت‬ ‫إذا‬ ‫ﻋﻣﺎ‬ ‫اﻟﻧظر‬ ‫ﺑﻐض‬ ‫ﻓﺈن‬ ، ‫اﻟﻣﺑﺎﻧﻲ‬ ‫أﻧواع‬ ‫ﻣن‬ ‫آﺧر‬ ‫ﻧوع‬ ‫أي‬ ‫أو‬ ‫ﺻﺣﯾﺔ‬ ‫رﻋﺎﯾﺔ‬ ‫أو‬ ‫وﻋﻼﻗﺎﺗﮫ‬ ‫اﻟﻔﺿﺎء‬ ‫وھو‬ ، ‫واﺣد‬ ‫ﺑﺷﻲء‬ ‫ﯾﺗﻌﻠق‬ ‫ﻛﻠﮫ‬ ‫اﻷﻣر‬ /https://finch3d.com .‫اﻷﺧرى‬ ‫ﺑﺎﻟﻣﺳﺎﺣﺎت‬ ‫و‬ ‫اﻟﺗﻘﺳﯾﻣﺎت‬ ‫ﺗﺗﻐﯾر‬ ‫اﻟﻛﻠﯾﺔ‬ ‫اﻷﺑﻌﺎد‬ ‫او‬ ‫اﻟﻣﺳﺎﺣﺔ‬ ‫ﺗﻐﯾﯾر‬ ‫ﺑﻣﺟرد‬ ‫اﻟﺗﻘﺳﯾﻣﺎت‬ ‫ﻟﻌﻣل‬ ‫آﺧر‬ ‫ﻣﺛﺎل‬ ‫ﻣﺑﺎﺷرة‬ ‫اﻟداﺧﻠﯾﺔ‬ ‫اﻟﺗوزﯾﻌﺎت‬ ‫اﻟﻣﺑﻧﻰ‬ ‫ﺣدود‬ ‫ﺗﻐﯾﯾر‬ ‫ﺑﻣﺟرد‬ ‫ﻟﻠﻐرف‬ https://towardsdatascience.com/ai-archite cture-f9d78c6958e0
  59. 59. How to Perform the automated Compliance Check (ACC)?
  60. 60. ‫؟‬ ‫اﻟﺑﻧﺎء‬ ‫ﻣواﻗﻊ‬ ‫ﻋن‬ ‫ﻣﺎذا‬ ‫ﺗطﺑﯾﻘﺎت‬ ‫وﻛذﻟك‬ ، ‫اﻟﺑﻧﺎء‬ ‫ﻣواﻗﻊ‬ ‫ﻓﻲ‬ ‫طﯾﺎر‬ ‫ﺑدون‬ ‫اﻟطﺎﺋرات‬ ‫اﺳﺗﺧدام‬ ‫ﯾﺗزاﯾد‬ ‫ﺣﺎﻟﺔ‬ ‫ﺗﺗﺑﻊ‬ ‫إﻟﻰ‬ ‫اﻟﻣوﻗﻊ‬ ‫ﻓﻲ‬ ‫اﻟﻣواد‬ ‫ﺣرﻛﺔ‬ ‫ﻗﯾﺎس‬ ‫ﻣن‬ ‫ﺗﺗراوح‬ ‫واﻟﺗﻲ‬ ، ‫اﻟﺗﻛﻧوﻟوﺟﯾﺎ‬ ‫ﺑﻧﻔس‬ ‫ﻓﻘط‬ ‫ھﻲ‬ ‫طﯾﺎر‬ ‫ﺑدون‬ ‫اﻟطﺎﺋرات‬ ‫ﺑﯾﺎﻧﺎت‬ ‫ﻓﺈن‬ ، ‫ذﻟك‬ ‫وﻣﻊ‬ .‫ﺑﺄﻛﻣﻠﮫ‬ ‫اﻟﻣﺷروع‬ ‫ﻓﻘط‬ ‫طﯾﺎر‬ ‫ﺑدون‬ ‫ﻟﻠطﺎﺋرات‬ ‫ﯾﻣﻛن‬ ، ‫ذﻟك‬ ‫ﻋﻠﻰ‬ ‫ﻋﻼوة‬ .‫ﯾﻌﺎﻟﺟﮭﺎ‬ ‫اﻟذي‬ ‫اﻟﺑرﻧﺎﻣﺞ‬ ‫ﻗوة‬ ‫ﻟﻠﻣﺑﻧﻰ‬ ‫اﻟﺧﺎرﺟﻲ‬ ‫اﻟﺻورة‬ ‫ﻣرﻛز‬ ‫اﻟﺗﻘﺎط‬ .‫اﻟﻌﻣﯾق‬ ‫اﻟﺗﻌﻠم‬ ‫ﺧوارزﻣﯾﺎت‬ ‫ﺑﺳﺑب‬ ‫اﻟﻛﺎﺋﻧﺎت‬ ‫ﺗﺻﻧﯾف‬ ‫ﻋﻠﻰ‬ ‫ﻗﺎدر‬ Doxel ‫ﺑرﻧﺎﻣﺞ‬ ‫ًﺎ‬‫ﻣ‬‫ﻧظﺎ‬ ‫أﻟﺗو‬ ‫ﺑﺎﻟو‬ ‫ﻓﻲ‬ ‫اﻟﻧﺎﺷﺋﺔ‬ Doxel ‫ﺷرﻛﺔ‬ ‫أطﻠﻘت‬ ، ‫ذﻟك‬ ‫ﻣن‬ ‫وأﻛﺛر‬ ‫اﻷﺳﺑﺎب‬ ‫ﻟﮭذه‬ LIDAR ‫وﻣﺳﺢ‬ ‫اﻟدﻗﺔ‬ ‫ﻋﺎﻟﯾﺔ‬ ‫اﻟﺻور‬ ‫ﯾﺳﺗﺧدم‬ (AI) ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫ﻟﻠذﻛﺎء‬ ‫ًﺎ‬‫ﯾ‬‫أﺳﺎﺳ‬ ‫اﻟﺷرﻛﺔ‬ ‫ﻟدﻓﻊ‬ .‫واﻟﺧﺎرج‬ ‫اﻟداﺧل‬ ‫ﻣن‬ - ‫اﻟﺑﻧﺎء‬ ‫ﻣﺷروع‬ ‫ﻣن‬ ‫اﻟﻣﮭﻣﺔ‬ ‫اﻟﺑﯾﺎﻧﺎت‬ ‫ﻟﺗﺣﻠﯾل‬ Alchemist Accelerator ‫ﻣن‬ ‫ﺑﻣﺷﺎرﻛﺔ‬ - ‫ھوروﯾﺗز‬ ‫أﻧدرﯾﺳن‬ ‫ﻗﺎد‬ ، ‫ﻟﻠﺗطور‬ ‫ﺟوﻟﺔ‬ - Steelhead Ventures ‫و‬ SV Angel ‫و‬ Pear Ventures ‫و‬ .Doxel ‫ﻓﻲ‬ ‫دوﻻر‬ ‫ﻣﻠﯾون‬ 4.5 ‫ﺑﻘﯾﻣﺔ‬ ‫اﺳﺗﺛﻣﺎرﯾﺔ‬
  61. 61. ‫اﻻﺻطﻧﺎﻋﻲ؟‬ ‫اﻟذﻛﺎء‬ ‫أﺗﻌﻠم‬ ‫ﻛﯾف‬ ‫وﺑﺎﻟﺗﺎﻟﻲ‬ ‫اﻟﻣﺟﺎل‬ ‫ﺑﮭذا‬ ‫ﻣﻠم‬ ‫وﺗﺻﺑﺢ‬ ‫اﻟﻼزﻣﺔ‬ ‫اﻟﻣﮭﺎرات‬ ‫ﺗﻣﺗﻠك‬ ‫ﺣﺎﻟﻣﺎ‬ ‫اﻟﻣﺳﺗﻘﺑل‬ ‫أﺑواب‬ ‫ﻟك‬ ‫ﺗﻔﺗﺢ‬ ‫واﻟﺗﻲ‬ ‫اﻟﻣﺟﺎﻻت‬ ‫أھم‬ ‫إﺣدى‬ ‫ﺗﺗﻌﻠم‬ ‫ﺑﺄن‬ ‫اﻟرﻏﺑﺔ‬ ‫ﻟدﯾك‬ ‫ﺗﻛون‬ ‫أن‬ ‫اﻟراﺋﻊ‬ ‫ﻣن‬ .‫اﻹﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﻟﺗﻌﻠم‬ ‫رﺣﻠﺗك‬ ‫ﻓﻲ‬ ‫اﻟﺻﺣﯾﺢ‬ ‫اﻟطرﯾق‬ ‫إﻟﻰ‬ ‫ﺗﻘودك‬ ‫رﺑﻣﺎ‬ ‫ﺑﺈﺟﺎﺑﺔ‬ ‫أﺳﺎھم‬ ‫أن‬ ‫ﻟﻲ‬ ‫إﺳﻣﺢ‬ ‫ﺑﺷﻛل‬ ‫إﺗﻘﺎﻧﮭﺎ‬ ‫ﻋﻠﯾك‬ ‫ﯾﺟب‬ ‫وﻻ‬ (Python) ‫ﺑﺎﯾﺛون‬ ‫ﻟﻐﺔ‬ ‫ھﻲ‬ ‫اﻟﻣﺟﺎل‬ ‫ھذا‬ ‫ﻓﻲ‬ ‫وأھﻣﮭﺎ‬ ‫اﻟﺑرﻣﺟﺔ‬ ‫ﻟﻐﺎت‬ ‫إﺣدى‬ ‫ﻣﻊ‬ ‫اﻟﺗﻌﺎﻣل‬ ‫ﻋﻠﻰ‬ ‫اﻟﻘدرة‬ ‫ﺗﻣﺗﻠك‬ ‫أن‬ ‫ﻋﻠﯾك‬ ‫ﯾﺟب‬ ‫ﺑﺎﻟﺑداﯾﺔ‬ :‫ﻣﺛل‬ ‫ﺑﺎﯾﺛون‬ ‫ﻟﻐﺔ‬ ‫ﺑﺄواﻣر‬ ‫ﺑﺳﯾطﺔ‬ ‫ﻛﺎﻧت‬ ‫وإن‬ ‫ﺣﺗﻰ‬ ‫ﻣﻌرﻓﺔ‬ ‫إﻟﻰ‬ ‫ﺑﺎﻟﺑداﯾﺔ‬ ‫ﺗﺣﺗﺎج‬ ‫ﺑل‬ ‫اﻹﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﻣﺟﺎل‬ ‫ﻓﻲ‬ ‫ﺗﺑدأ‬ ‫ﻟﻛﻲ‬ ‫إﺣﺗراﻓﻲ‬ ● (class) ‫ﻛﺗﺎﺑﺔ‬ ‫ﻛﯾﻔﯾﺔ‬ ● (functions) ‫ﺗﻌرﯾف‬ ‫ﻛﯾﻔﯾﺔ‬ ● (if , for , while) ‫ﺟﻣل‬ ‫ﻋﻠﻰ‬ ‫اﻟﺗﻌرف‬ ● Numpy ‫ﻣﻛﺗﺑﺔ‬ ‫ﻣﻊ‬ ‫اﻟﺗﻌﺎﻣل‬ ‫ﻋﻠﻰ‬ ‫اﻟﻘدرة‬ Python ‫اﻟﺑﺎﯾﺛون‬ ‫ﻟﻐﺔ‬ ‫ﺗﻌﻠم‬ ‫ھﻲ‬ ‫ﺑداﯾﺔ‬ ‫أﻓﺿل‬ ‫؟؟‬ ‫أﺑدأ‬ ‫ﻛﯾف‬ :‫وﻣﻧﮭﺎ‬ ‫اﻟﻠﻐﺎت‬ ‫ﺟﻣﯾﻊ‬ ‫ًﺎ‬‫ﺑ‬‫ﺗﻘرﯾ‬ ‫ﺑﺎﺳﺗﺧدام‬ ‫اﻟﺑراﻣﺞ‬ ‫ھذه‬ ‫ﻛﺗﺎﺑﺔ‬ ‫ﻓﺗﺗم‬ .‫ّﻐﺎت‬‫ﻠ‬‫اﻟ‬ ‫ﻣن‬ ‫واﺣدة‬ ‫ﻟﻐﺔ‬ ‫ﻋﻠﻰ‬ ً‫ا‬‫ﺣﻛر‬ ‫ﻟﯾﺳت‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﺑراﻣﺞ‬ ‫إن‬ C/C++, Java, Lisp, Prolog, Python .‫اﻟﻣﺟﺎل‬ ‫ھذا‬ ‫ﺑراﻣﺞ‬ ‫ﻣﻊ‬ ‫ّﻌﺎﻣل‬‫ﺗ‬‫اﻟ‬ ‫ﻓﻲ‬ ‫ﱡﻐﺎت‬‫ﻠ‬‫اﻟ‬ ‫وأﺳرع‬ ‫أﻓﺿل‬ ‫ﻣن‬ ‫ﺗﻌﺗﺑر‬ ‫ّﮭﺎ‬‫ﻧ‬‫أ‬ ‫إﻻ‬ ‫ﺣدﯾﺛﺎ‬ ‫أﻣرا‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﻣﺟﺎل‬ ‫ﻓﻲ‬ ‫ﺑﺎﯾﺛون‬ ‫ﻟﻐﺔ‬ ‫اﺳﺗﺧدام‬ ‫أن‬ ‫ﻣن‬ ‫اﻟرﻏم‬ ‫ﻋﻠﻰ‬ https://www.youtube.com/watch?v=AOkZ8AbHNl4&list=PLNMim060_nUKT5xMU9yDahSuMjymHGmFo https://drive.google.com/file/d/0B-NxSgLL8AgiUzU2Y21Pdm4xNTA/view?usp=sharing&resourcekey=0-3uYxJcHsm XRjTVoM5mBnfg
  62. 62. :‫ﻓﮭﻲ‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﻟﻣﺟﺎل‬ ‫ذﻛرﻧﺎ‬ ‫ﺣﺎل‬ ‫اﻟﻣﻣﯾزات‬ ‫ﻣن‬ ‫ﺑﺎﻟﻌدﯾد‬ ‫ﺑﺎﯾﺛون‬ ‫ّﻊ‬‫ﺗ‬‫ﺗﺗﻣ‬ documentation ‫ﺑﺎﻟـ‬ ‫ﯾﻌرف‬ ‫ﻣﺎ‬ ‫أو‬ ‫ﻋدﯾدة‬ ‫ﻣﺻﺎدر‬ ‫ﻟدﯾﮭﺎ‬ -1 ‫اﻟﻛﺎﺋﻧﻲ‬ ‫اﻟﺑرﻣﺟﺔ‬ ‫ﻟﻐﺎت‬ ‫او‬ OOP ‫اﻟـ‬ ‫ﻟﻐﺎت‬ ‫ﻣن‬ ‫ﺑﻐﯾرھﺎ‬ ‫ﻣﻘﺎرﻧﺗﮭﺎ‬ ‫ﻋﻧد‬ ‫ﺗﺗﻌﻠﻣﮭﺎ‬ ‫ﺣﺗﻰ‬ ‫وﺑﺳﯾطﺔ‬ ‫ﺳﮭﻠﺔ‬ ‫ﻟﻐﺔ‬ -2 ‫ﻣﺛل‬ ‫اﻟﺻور‬ ‫ﻣﻊ‬ ‫ﺗﺗﻌﺎﻣل‬ ‫اﻟﺗﻲ‬ ‫اﻟﻣﻛﺗﺑﺎت‬ ‫ﻣن‬ ‫اﻟﻌدﯾد‬ ‫ﺑﺎﯾﺛون‬ ‫ﻟﻐﺔ‬ ‫ﺗﻣﺗﻠك‬ ‫اﯾﺿﺎ‬ -3 .‫واﻟﻌﻠﻣﯾﺔ‬ ‫اﻻﻟﻛﺗروﻧﯾﺔ‬ ‫اﻟﺗطﺑﯾﻘﺎت‬ ‫ﺗﺧدم‬ ‫اﻟﺗﻲ‬ ‫اﻷﺧرى‬ ‫اﻷدوات‬ ‫ﻣن‬ ‫واﻟﻛﺛﯾر‬ 3D Visualization Toolkits ‫و‬Maya ‫و‬ VTK ‫و‬ Python Imaging Library .‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﻟﺗطﺑﯾﻘﺎت‬ ‫ﺟدا‬ ‫ﻣﻧﺎﺳﺑﺔ‬ ‫ﯾﺟﻌﻠﮭﺎ‬ ‫ﻣﻣﺎ‬ ،‫ﻟﻠﻐﺎﯾﺔ‬ ‫وﺳرﯾﻊ‬ ‫ﺟﯾد‬ ‫ﺑﺷﻛل‬ ‫ﺗﺻﻣﯾﻣﮭﺎ‬ ‫ﺗم‬ -1 .‫اﻟﻛﺑﯾرة‬ ‫اﻟﻣؤﺳﺳﺎت‬ ‫ﺗطﺑﯾﻘﺎت‬ ‫وﻛذﻟك‬ ،‫اﻟﺻﻐﯾرة‬ ‫اﻟﻧﺻﯾﺔ‬ ‫ﻟﻠﺑراﻣﺞ‬ ‫واﺳﻊ‬ ‫ﻣدي‬ ‫ﻋﻠﻲ‬ ‫ﻣﻔﯾدة‬ ‫ًﺎ‬‫ﺿ‬‫أﯾ‬ ‫ھﻲ‬ -2 .‫راﺋﻌﺔ‬ ‫ﻣﯾزة‬ ‫اﯾﺿﺎ‬ ‫وھذه‬ open source ‫اﻟﻣﺻدر‬ ‫ﻣﻔﺗوﺣﺔ‬ ‫ﱡﻠﻐﺎت‬‫ﻟ‬‫ا‬ ‫ﺿﻣن‬ ‫ﻣن‬ ‫ﺗﻌﺗﺑر‬ -3 ‫اﻟذﻛﺎء‬ ‫ﺑﺗﻌﻠم‬ ‫ﺗﺑدأ‬ ‫ﻷن‬ ‫ﻛﺎﻓﯾﺔ‬ ‫اﻟﻌﻠوم‬ ‫ھذه‬ ‫وأﺳﺎﺳﯾﺎت‬ ‫واﻟﺗﻔﺎﺿل‬ ‫اﻟﺧطﻲ‬ ‫واﻟﺟﺑر‬ ‫واﻹﺣﺻﺎء‬ ‫اﻟرﯾﺎﺿﯾﺎت‬ ‫ﺑﻌﻠوم‬ ‫ﻟﻣﻌرﻓﺔ‬ ‫أﯾﺿﺎ‬ ‫ﺗﺣﺗﺎج‬ ‫اﻟﺑرﻣﺟﺔ‬ ‫ﻟﻠﻐﺔ‬ ‫ﻟﻣﻌرﻓﺗك‬ ‫ﺑﺎﻹﺿﺎﻓﺔ‬ .‫اﻟﻌﻠوم‬ ‫ﺑﮭذه‬ ‫ﻋﻣﯾﻘﺔ‬ ‫ﻣﻌرﻓﺔ‬ ‫إﻟﻰ‬ ‫ﺣﯾﻧﮭﺎ‬ ‫ﺗﺣﺗﺎج‬ ‫اﻟﻣﺟﺎل‬ ‫ھذا‬ ‫ﻓﻲ‬ ‫ﺟدﯾدة‬ ‫ﺧوارزﻣﯾﺎت‬ ‫ﺗطوﯾر‬ ‫ﻋﻠﻰ‬ ‫اﻟﻌﻣل‬ ‫اﻟﻣﺳﺗﻘﺑل‬ ‫ﻓﻲ‬ ‫رﻏﺑت‬ ‫إذا‬ ‫وﻟﻛن‬ ‫ﻣﺷﺎﻛل‬ ‫دون‬ ‫اﻹﺻطﻧﺎﻋﻲ‬
  63. 63. Ring https://www.youtube.com/watch?v=8N9A0rg5gIU&list=PLNMim060_nUIwr2EEw4AF9La6v8XOjut0 https://bimarabia.com/encyclopedia/ring/
  64. 64. ‫اﻟﺧطوات‬ ‫ﺑﺈﺗﺑﺎع‬ ‫اﻹﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﺑﺗﻌﻠم‬ ‫ﺗدرﯾﺟﻲ‬ ‫ﺑﺷﻛل‬ ‫ﺗﺑدأ‬ ‫أن‬ ‫ﯾﻣﻛﻧك‬ ‫اﻟرﯾﺎﺿﯾﺎت‬ ‫وﻋﻠوم‬ ‫اﻟﺑرﻣﺟﺔ‬ ‫ﺑﻠﻐﺔ‬ ‫ﻣﻌرﻓﺔ‬ ‫اﻣﺗﻠﻛت‬ ‫إذا‬ ‫اﻟﺗﺎﻟﯾﺔ‬ : ‫ﺑﮭذه‬ ‫ﺑﺎﻹﺷﺗراك‬ ‫وأﻧﺻﺣك‬ scikit-learn ‫ﻣﻛﺗﺑﺔ‬ ‫ﺑﺈﺳﺗﺧدام‬ ‫اﻟﺧوارزﻣﯾﺎت‬ ‫ﺗﻠك‬ ‫وﺗطﺑﯾق‬ (Machine Learning) ‫اﻵﻟﺔ‬ ‫ﺑﺗﻌﻠم‬ ‫اﻟﺧﺎﺻﺔ‬ ‫اﻟﺧوارزﻣﯾﺎت‬ ‫ﺗﻌﻠم‬ .1 : ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﺧوارزﻣﯾﺎت‬ ‫ﻣﺧﺗﻠف‬ ‫ﺑﺷرح‬ ‫اﻟﺧﺎﺻﺔ‬ Udacity ‫ﻣن‬ ‫اﻟﻣﻘدﻣﺔ‬ ‫اﻟﻣﺟﺎﻧﯾﺔ‬ ‫اﻟدورة‬ Introduction to Machine Learning Course | Udacity : deep learning specialization ‫اﺳم‬ ‫ﺗﺣت‬ Coursera ‫ﻣن‬ ‫اﻟﻣﻘدﻣﺔ‬ ‫اﻟﻣﺗﻘدﻣﺔ‬ ‫ﺑﺎﻟدورة‬ ‫ﺑﺎﻹﺷﺗراك‬ ‫أﻧﺻﺣك‬ ‫اﻟدورة‬ ‫ھذه‬ ‫ﻣن‬ ‫اﻹﻧﺗﮭﺎء‬ ‫وﺑﻌد‬ .2 Deep Learning by deeplearning.ai | Coursera ‫ﯾﺗﻔرع‬ ‫اﻟﺗﻲ‬ ‫اﻟﻣﺟﺎﻻت‬ ‫وﻣﺧﺗﻠف‬ ‫اﻹﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﻓﮭم‬ ‫ﻋﻠﻰ‬ ً‫ا‬‫ﻗﺎدر‬ ‫ﯾﺟﻌﻠك‬ ‫اﻟذي‬ ‫اﻟﺻﺣﯾﺢ‬ ‫اﻟطرﯾق‬ ‫ﻋﻠﻰ‬ ‫ﺳﺗﻛون‬ ‫ﺑﺄﻧك‬ ‫ﻓﺄﻋدك‬ ‫اﻟدورﺗﯾن‬ ‫ھﺎﺗﯾن‬ ‫إﻧﮭﺎء‬ ‫ﻣن‬ ‫ﺗﻣﻛﻧت‬ ‫إذا‬ .‫ﺗﺷﺎء‬ ‫ﻛﯾﻔﻣﺎ‬ ‫اﻟﻌﻠم‬ ‫ھذا‬ ‫إﺳﺗﺧدام‬ ‫ﻣن‬ ‫ّﻧك‬‫ﻛ‬‫ُﻣ‬‫ﯾ‬ ‫ﺑدوره‬ ‫واﻟذي‬ ‫إﻟﯾﮭﺎ‬ https://www.youtube.com/watch?v=AOkZ8AbHNl4&list=PLNMim060_nUKT5xMU9yDahSuMjymHGmFo ‫ﺗم‬ ‫اﻟﺗﻲ‬ ‫واﻟﺧوارزﻣﯾﺎت‬ ‫اﻟﻣﺷﺎرﯾﻊ‬ ‫آﺧر‬ ‫وﻣﻌرﻓﺔ‬ ‫اﻟﻣﺟﺎل‬ ‫ﺑﮭذا‬ ‫اﻟﻣﺗﻌﻠﻘﺔ‬ ‫اﻷﺑﺣﺎث‬ ‫ﻗراءة‬ ‫ﺧﻼل‬ ‫ﻣن‬ ‫اﻟﻣﺟﺎل‬ ‫ھذا‬ ‫ﻓﻲ‬ ‫اﻟﺗﻌﻠم‬ ‫ﺗواﺻل‬ ‫أن‬ ‫أﯾﺿﺎ‬ ً‫ا‬‫ﺟد‬ ‫اﻟﻣﮭم‬ ‫ﻣن‬ ‫أﻧﮫ‬ ‫ﺗﻧﺳﻰ‬ ‫وﻻ‬ ‫ورﻗﺗﮫ‬ ‫ﻓﻲ‬ ‫اﻟﺑﺎﺣث‬ ‫ﻧﺷرھﺎ‬ ‫اﻟﺗﻲ‬ ‫اﻟﻔﻛرة‬ ‫ﺗﺣوﯾل‬ ‫ﻣن‬ ‫ﺑﻧﻔﺳك‬ ‫ﺗﻣﻛﻧك‬ ‫ﻟو‬ ‫ﺣﺑذا‬ ‫وﯾﺎ‬ ‫اﻟﺧوارزﻣﯾﺎت‬ ‫ﺗﻠك‬ ‫ﺗﻌﻣل‬ ‫ﻛﯾف‬ ‫ﻟﺗﻌرف‬ ‫ﺑﮭﺎ‬ ‫ﺧﺎص‬ ‫اﻟﺑرﻧﺎﻣﺞ‬ ‫ﻗراءة‬ ‫وﻣﺣﺎوﻟﺔ‬ ‫ﺗطوﯾرھﺎ‬ .‫أﯾﺿﺎ‬ ‫اﻹﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﻣﺟﺎل‬ ‫وﻓﻲ‬ ‫اﻟﺑرﻣﺟﺔ‬ ‫ﻟﻐﺔ‬ ‫ﻓﻲ‬ ‫ﺟدا‬ ‫ﻣﺗﻘدﻣﺔ‬ ‫ﻣرﺣﻠﺔ‬ ‫إﻟﻰ‬ ‫وﺻﻠت‬ ‫ﺗﻛون‬ ‫ﻓﺣﯾﻧﮭﺎ‬ ‫ﻛود‬ ‫إﻟﻰ‬ ‫اﻟﺑﺣﺛﯾﺔ‬ https://studio.kobra.dev/
  65. 65. ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﻋﺎﻟم‬ ‫ﻓﻲ‬ ‫ﺗﻧﺷر‬ ‫اﻟﺗﻲ‬ ‫اﻷﺑﺣﺎث‬ ‫أﺣدث‬ ● Arxiv Sanity Preserver ● /https://www.researchgate.net ● Deep Learning Research Papers ‫اﻟﻣﻌرﻓﺔ‬ ‫ﻣن‬ ‫ﻟﻣزﯾد‬ ‫ﻛﺗب‬ Artificial Intelligence A Modern Approach 4th Edition Machine Learning by Tom Mitchell Bayesian Reasoning and Machine Learning by David Barber Hands-On Machine Learning with Scikit-Learn and TensorFlow ‫اﻵﻟﺔ‬ ‫وﺗﻌﻠم‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫إﻟﻰ‬ ‫ﻣدﺧل‬ ‫ﺑﺎﻷﻛواد‬ ‫ﻏﻧﯾﺔ‬ ‫ﺑﯾﺋﺔ‬ ‫ﻋن‬ ‫ﻋﺑﺎرة‬ ‫ﻓﮭﻲ‬ ‫ﺑﺈﺳﺗﻣرار‬ Github ‫ﻣﻧﺻﺔ‬ ‫ﺗﺗﺎﺑﻊ‬ ‫أن‬ ‫ﻋﻠﯾك‬ ‫ﯾﺟب‬ ‫اﻟﻣﺟﺎل‬ ‫ھذا‬ ‫ﻓﻲ‬ ‫ﻣﺗﻘدﻣﺔ‬ ‫ﻣراﺣل‬ ‫إﻟﻰ‬ ‫ﺗﺻل‬ ‫ﺣﯾﻧﻣﺎ‬ ً‫ﺎ‬‫أﯾﺿ‬ ‫ﻣﮭﻣﺔ‬ ‫وﻧﺻﯾﺣﺔ‬ .‫ﻣﺧﺗﻠﻔﺔ‬ ‫وﻣﺟﺎﻻت‬ ‫اﻹﺻطﻧﺎﻋﻲ‬ ‫ﺑﺎﻟذﻛﺎء‬ ‫واﻟﺧﺎﺻﺔ‬ (codes) .‫اﻹﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﻓﻲ‬ ‫اﻟﻣﺳﺗﺧدﻣﺔ‬ ‫اﻟﻌﺎﻣﺔ‬ ‫ﺑﺎﯾﺛون‬ ‫ﻣﻛﺗﺑﺎت‬ ‫ﺑﻌض‬ .1 AIMA .2 PyDatalog .3 SimpleAI .4 EasyAI

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