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Artificial İntelligence and Applications

Yıl 2024, Cilt: 16 Sayı: 4, 201 - 234, 30.12.2024

Hüseyin İşcan , Ayşe Durgun

https://doi.org/10.52791/aksarayiibd.1574207

Öz

Artificial intelligence (AI) is a field of technology that enables machines to acquire human-like abilities such as thinking, learning, and problem-solving. Emerging as a domain that can make decisions by learning from data through methods like machine learning and deep learning, AI has, in recent years, expanded its reach across a wide range of applications, including healthcare, security, education, law, economics, and finance. This technology is revolutionizing various areas, from industrial processes to the simple routines of daily life, fundamentally transforming the way people work. With the innovations it brings at both individual and societal levels, it not only improves quality of life but also significantly enhances productivity. This article examines artificial intelligence within a theoretical framework, focusing on its subfields, history, and diverse application areas.

Anahtar Kelimeler

Artificial intelligence Machine learning Deep learning.

Kaynakça

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Yapay Zekâ: Alt Dalları ve Uygulama Alanları

Yıl 2024, Cilt: 16 Sayı: 4, 201 - 234, 30.12.2024

Hüseyin İşcan , Ayşe Durgun

https://doi.org/10.52791/aksarayiibd.1574207

Öz

Yapay zekâ, makinelerin insan benzeri düşünme, öğrenme ve problem çözme yetenekleri kazanmasını sağlayan bir teknoloji alanıdır. Makine öğrenimi ve derin öğrenme ve bu verilerden öğrenerek kararlar alabilen bir alan olarak karşımıza çıkan yapay zekâ son yıllarda, çeşitli uygulamalarla, sağlıktan güvenliğe, eğitimden hukuka, ekonomi ve finans alanından her alana dokunan geniş bir yelpazeye yayılmıştır. Günümüzde yapay zekanın dokunmadığı alan neredeyse kalmamıştır. Bu teknoloji, endüstriyel süreçlerden günlük yaşamın basit rutinlerine kadar pek çok alanda devrim yaratmakta ve insanların iş yapma biçimlerini köklü bir şekilde değiştirmektedir. Hem bireysel hem de toplumsal düzeyde sunduğu yeniliklerle, yaşam kalitesini artırmanın yanı sıra verimliliği de önemli ölçüde yükseltmektedir. Bu makalenin amacı yapay zekâyı teorik bir çerçevede inceleyerek alt dalları, tarihçesi ve çeşitli uygulama alanları üzerinde durmaktır.

Anahtar Kelimeler

Yapay zekâ Makine öğrenmesi Derin öğrenme.

Kaynakça

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Toplam 190 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Bilgi Sistemleri (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Hüseyin İşcan 0000-0002-3121-4007

Ayşe Durgun 0000-0002-8062-7473

Yayımlanma Tarihi 30 Aralık 2024
Gönderilme Tarihi 26 Ekim 2024
Kabul Tarihi 16 Aralık 2024
Yayımlandığı Sayı Yıl 2024Cilt: 16 Sayı: 4

Kaynak Göster

APA İşcan, H., & Durgun, A. (2024). Yapay Zekâ: Alt Dalları ve Uygulama Alanları. Aksaray Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 16(4), 201-234. https://doi.org/10.52791/aksarayiibd.1574207
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