وفّر 50٪ من خلال الاشتراك السنوي في مجرة واحصل على تصفح لا محدود لأفضل محتوى عربي على الإنترنت.
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هو استخدام تقنيات الذكاء الاصطناعي ضمن البنية التحتية لأنظمة إنترنت الأشياء؛ مثل المنصات والخوادم والأجهزة والشرائح والبرمجيات وما إلى ذلك، بهدف رفع كفاءة عملياتها وتحسين تفاعلات البشر مع الآلة وتعزيز عمليات إدارة البيانات وتحليلها وقدرات اتخاذ القرار. فمثلاً يمنح التعلم الآلي أنظمة وشبكات إنترنت الأشياء القدرة على التعلم من البيانات. كما يحول الذكاء الاصطناعي بيانات تلك الأنظمة إلى معلومات مفيدة.
يُعد الذكاء الاصطناعي للأشياء مفيداً لكل من تقنيات الذكاء الاصطناعي وإنترنت الأشياء. فالذكاء الاصطناعي يعزز أنظمة إنترنت الأشياء ويحسن قدرتها على اتخاذ القرارات من خلال التعلم الآلي والتعلم العميق، بينما تضيف أنظمة إنترنت الأشياء المزيد من القيمة للذكاء الاصطناعي من خلال الاتصالية وتسهيل تبادل البيانات وتوليد المزيد منها؛ لا سيما مع الانتشار الكبير في مختلف القطاعات.
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