_الذكاء الاصطناعي .pdf

1. ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬
Omar Selim
Sunday, 26 Jule
8 PM (GMT+2)
BIM Manager
&
Omar.selm@gmail.com

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

4. :(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

6. ‫اﻵﻟﺔ‬
‫اﻟﻘواﻋد‬
‫اﻟﺑﯾﺎﻧﺎت‬
‫اﻹﺟﺎﺑﺎت‬
‫اﻟﺗﻘﻠﯾدﯾﺔ‬ ‫اﻟﺑرﻣﺟﺔ‬
‫اﻵﻟﺔ‬
‫اﻹﺟﺎﺑﺎت‬
‫اﻟﺑﯾﺎﻧﺎت‬
‫اﻟﻘواﻋد‬
‫اﻵﻟﺔ‬ ‫ﺗﻌﻠم‬

8. 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.

9. ‫؟‬ ‫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

10. ●
‫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 .

11. ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﻟﺛورة‬ ‫ﻣﺧﺗﺻر‬ ‫ﺗﺎرﯾﺦ‬
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‫اﻟﺟزري‬ ‫اﻟرزاز‬ ‫ﺑن‬ ‫إﺳﻣﺎﻋﯾل‬ ‫ﺑن‬ ‫ﺑدﯾﻊ_اﻟزﻣﺎن_أﺑو_اﻟﻌز‬# "‫اﻟﺣﯾل‬ ‫ﺻﻧﺎﻋﺔ‬ ‫ﻓﻲ‬ ‫اﻟﻧﺎﻓﻊ‬ ‫واﻟﻌﻣل‬ ‫اﻟﻌﻠم‬ ‫ﺑﯾن‬ ‫"اﻟﺟﺎﻣﻊ‬
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. ‫اﻟﻌﻠم‬ ‫ھذا‬ ‫ظﮭور‬ ‫ﺑداﯾﺔ‬ ‫ھﻲ‬ ‫اﻟﺣﺎﺳب‬ ‫ﺑراﻣﺞ‬ ‫ﺗﺧزﯾن‬ ‫ﻋﻠﻰ‬ ‫اﻟﻘدرة‬ ‫ﻟﮭﺎ‬ ‫واﻟﺗﻲ‬ ‫ﺗﯾورﻧﺞ‬ ‫اﻟﺔ‬ ‫ﺗورﻧﻎ‬ ‫آﻻن‬ ‫اﺧﺗراع‬
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‫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
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. ‫ﻓﯾزﻧﺑﺎوم‬ ‫ﺟوزﯾف‬ ‫ﺑواﺳطﺔ‬ “ELIZA” ‫ﺳﻣﻲ‬ ‫اﻟﺷطرﻧﺞ‬ ‫ﻟﻌﺑﺔ‬ ‫ﻛﺗﺎﺑﺔ‬ ‫إﻣﻛﺎﻧﯾﺔ‬ 1960 ‫ﻋﺎم‬ ‫ﺷﮭد‬
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. ‫اﻟطﺑﯾﻌﯾﺔ‬ ‫اﻟﻠﻐﺎت‬ ‫ﻣﻌﺎﻟﺟﺔ‬ , ‫اﻟﺧﺑﯾرة‬ ‫اﻟﻧظم‬ ‫ﻣﺛل‬ ‫ﺑﮫ‬ ‫اﻟﻣﺗﻌﻠﻘﺔ‬ ‫اﻟﻌﻠوم‬ ‫ﺑﻌض‬ ‫ظﮭرت‬ ‫اﻟﺳﺑﻌﯾﻧﯾﺎت‬ ‫ﻧﮭﺎﯾﺔ‬ ‫ﻓﻲ‬
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‫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
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.‫ﺑﻧﻔﺳﮭﺎ‬ ‫ﻧﻔﺳﮭﺎ‬ ‫ﺗدﯾر‬ ‫اﻟﺷﻛل‬ ‫داﺋرﯾﺔ‬ ‫ﻣﻛﻧﺳﺔ‬ ‫وھو‬ .‫اﻵﻻف‬ ‫ﻟﻣﺋﺎت‬ ‫اﻟﻣﻧزل‬ ‫رﻓﯾق‬ ‫وأﺻﺑﺢ‬ ،Roomba ‫روﻣﺑﺎ‬ ‫اﻵﻟﻲ‬ ‫اﻹﻧﺳﺎن‬ ‫ظﮭر‬ 2002 ‫وﻓﻲ‬
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‫ﻓﻲ‬ ‫ﻋﻠﯾﮫ‬ ‫اﻻﻋﺗﻣﺎد‬ ‫اﻟﺷرﻛﺎت‬ ‫ﺗﺳﺗطﯾﻊ‬ ،‫اﺻطﻧﺎﻋﻲ‬ ‫ذﻛﺎء‬ ‫ﻋﻠﻰ‬ ‫ﯾﺣﺗوي‬ ‫ﺣﺎﺳوب‬ ‫وھو‬ ،‫اﻷﺳواق‬ ‫ﻓﻲ‬ ،Watson ‫واطﺳون‬ ‫اﻟﺣﺎﺳوب‬ ،IBM ‫طرﺣت‬ ،2010 ‫وﻓﻲ‬
.‫واﻟﺗوﻗﻌﺎت‬ ‫اﻟﺻﻌﺑﺔ‬ ‫اﻟﻌﻣﻠﯾﺎت‬
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‫وﺣواﺳﯾﺑﮭﺎ‬ ‫ھواﺗﻔﮭﺎ‬ ‫ﻛل‬ ‫ﻓﻲ‬ ‫أﺑل‬ ‫اﻟﺗﻛﻧوﻟوﺟﯾﺎ‬ ‫ﻋﻣﻼق‬ ‫أﻟﺣﻘﺗﮫ‬ ‫اﻟذي‬ ،Siri "‫"ﺳﯾري‬ ‫اﻹﻟﻛﺗروﻧﻲ‬ ‫اﻟﻣﺳﺎﻋد‬ ‫ﺧﻼل‬ ‫ﻣن‬ ‫ﻟﻠﻣﺳﺗﺧدﻣﯾن‬ ‫أﻗرب‬ ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫أﺻﺑﺢ‬ ‫ﺛم‬
.2011 ‫ﻋﺎم‬ ‫ﻓﻲ‬
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.‫اﻟﻣﺗﺣدة‬ ‫ﺑﺎﻟوﻻﯾﺎت‬ ‫أرﯾزوﻧﺎ‬ ‫وﻻﯾﺔ‬ ‫ﻓﻲ‬ 2020 ‫ﻓﻲ‬ ‫أطﻠﻘﺗﮭﺎ‬ ‫واﻟﺗﻲ‬ ،‫ﺳﺎﺋق‬ ‫ﺑﻼ‬ ‫ﺗﺎﻛﺳﻲ‬ ‫ﺧدﻣﺔ‬ ‫أول‬ ‫ﺗﺟرﺑﺔ‬ ‫ﻓﻲ‬ ‫اﻷﻣرﯾﻛﯾﺔ‬Waymo ‫واﯾﻣو‬ ‫ﺷرﻛﺔ‬ ‫ﺑدأت‬ ،2017 ‫ﻓﻲ‬
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‫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
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‫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

13. : 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

14. 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

17. 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

20. ،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

21. (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

22. ‫رﻣز‬ ‫ﻛﺗﺎﺑﺔ‬ ‫دون‬ ‫اﻵﻟﺔ‬ ‫ﺗﻌﻠم‬ ‫ﻧﻣﺎذج‬ ‫اﺧﺗﺑﺎر‬ :What-If ‫أداة‬

23. Person of Interest

24. 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.

25. https://www.youtube.com/watch?v=
Aut32pR5PQA

26. ‫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).

28. https://data-flair.training/blogs/cats-dogs-classification-deep-learning-project-b
eginners/

29. Deep Reinforcement
https://www.youtube.com/watch?v=VMp6pq6_QjI
https://www.youtube.com/watch?v=
zIkBYwdkuTk

31. ‫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

32. :‫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

33. 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

34. ‫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

35. 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

36. 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

38. ‫اﻟﺗﻼﻓﯾﻔﯾﺔ‬ ‫اﻟﻌﺻﺑﯾﺔ‬ ‫اﻟﺷﺑﻛﺎت‬ (Convolutional Neural Networks)

44. ‫ﻣﺛل‬ ‫ﺣﻘﯾﻘﯾﯾن‬ ‫ﻏﯾر‬ ‫ﻷﺷﺧﺎص‬ ‫ﺻور‬ ‫ﺗوﻟﯾد‬ ‫ﯾﻣﻛن‬
GAN ‫ﻋﻠﻰ‬ ‫ﯾﻌﺗﻣد‬ ‫اﻟذي‬ ‫اﻟﻣوﻗﻊ‬ ‫ھذا‬
https://this-person-does-not-exis
t.com/en

45. 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/

46. 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

47. https://artflow.ai/

48. https://data-flair.training/blogs/create-emoji-with-deep-learning/

49. https://data-flair.training/blogs/python-project-capture-selfie
-by-detecting-smile/

50. Intelligent Video Surveillance with Deep Learning
https://data-flair.training/blogs/deep-surveillance-with-deep-learning-intelligent-video-su
rveillance-project/

51. https://my.replika.com/

52. https://www.deeparteffects.com/

53. 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

54. 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

55. Google Lens
OCR software
https://www.sejda.com/pdf-editor

56. https://www.remove.bg/
●

57. FACE SWAPPER

58. https://segments.ai/

59. Copy.ai: Write better marketing copy and content with AI

60. https://plask.ai/

61. ( ‫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

62. 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

63. ‫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

64. ‫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

65. ‫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 •

67. ‫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

68. ‫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

69. ● 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

70. Smart Home Devices

71. ● 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

72. Dynamo
https://bimarabia.com/OmarSelim/dynamo-2/
Grasshopper for Rhino (Arabic) ‫ﺑﺎﻟﻌرﺑﻲ‬ ‫اﻟﺟرﺳﮭوﺑر‬ ‫ﺷرح‬
https://www.youtube.com/playlist?list=PLNMim060_nUKsuVDh13xxMvX4Uuc6ReeC

74. 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

75. 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

76. ● 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

78. How to Perform the automated Compliance Check (ACC)?

79. ‫؟‬ ‫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

80. ‫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
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(class) ‫ﻛﺗﺎﺑﺔ‬ ‫ﻛﯾﻔﯾﺔ‬
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(functions) ‫ﺗﻌرﯾف‬ ‫ﻛﯾﻔﯾﺔ‬
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(if , for , while) ‫ﺟﻣل‬ ‫ﻋﻠﻰ‬ ‫اﻟﺗﻌرف‬
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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

81. :‫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

82. Ring
https://www.youtube.com/watch?v=8N9A0rg5gIU&list=PLNMim060_nUIwr2EEw4AF9La6v8XOjut0
https://bimarabia.com/encyclopedia/ring/

83. ‫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/

84. ‫اﻻﺻطﻧﺎﻋﻲ‬ ‫اﻟذﻛﺎء‬ ‫ﻋﺎﻟم‬ ‫ﻓﻲ‬ ‫ﺗﻧﺷر‬ ‫اﻟﺗﻲ‬ ‫اﻷﺑﺣﺎث‬ ‫أﺣدث‬
●
Arxiv Sanity Preserver
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/https://www.researchgate.net
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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