Cognitive Technologies: Machine Learning, Artificial Intelligence, and Convolutional Neural Networks in Computer Vision DOI Creative Commons

Hajar El Qasemy

Westcliff International Journal of Applied Research, Год журнала: 2025, Номер 9(1), С. 5 - 17

Опубликована: Март 7, 2025

The research focus was motivated by the limited understanding of cognitive technologies and growing gap between artificial intelligence (AI) human intelligence. is a literature review, its purpose to simplify meaning processes behind technologies, notably, fundamentals machine learning (ML) computer vision with intention briefly address alleged threat AI taking over job market. review peer-reviewed articles retrieved from comparative studies, systematic reviews, meta-analysis, service research, reports, conference proceedings, experimental scientometric analyses, books, multi-case dating years 2018 2024. This defines (ML), (AI), vision, convolutional neural networks (CNNs). It also compares traditional programming reveals types in ML models’ training. correlation are discussed details about theory mind, self-aware AI, reactive machines, memory shared. expounds particularly network (CNN) CNN layers. Recent cutting-edge applications including generative models autonomous systems incorporated. Finally, addresses findings this reveal that becoming new way operating. conclusion shows require significant computation allow computers learn autonomously. Thus, mathematical data perfecting process writing software could be key remaining employable as more jobs expected shifted due tasks automation. Keywords: Cognitive technology, intelligence, learning,

Язык: Английский

Cognitive Technologies: Machine Learning, Artificial Intelligence, and Convolutional Neural Networks in Computer Vision DOI Creative Commons

Hajar El Qasemy

Westcliff International Journal of Applied Research, Год журнала: 2025, Номер 9(1), С. 5 - 17

Опубликована: Март 7, 2025

The research focus was motivated by the limited understanding of cognitive technologies and growing gap between artificial intelligence (AI) human intelligence. is a literature review, its purpose to simplify meaning processes behind technologies, notably, fundamentals machine learning (ML) computer vision with intention briefly address alleged threat AI taking over job market. review peer-reviewed articles retrieved from comparative studies, systematic reviews, meta-analysis, service research, reports, conference proceedings, experimental scientometric analyses, books, multi-case dating years 2018 2024. This defines (ML), (AI), vision, convolutional neural networks (CNNs). It also compares traditional programming reveals types in ML models’ training. correlation are discussed details about theory mind, self-aware AI, reactive machines, memory shared. expounds particularly network (CNN) CNN layers. Recent cutting-edge applications including generative models autonomous systems incorporated. Finally, addresses findings this reveal that becoming new way operating. conclusion shows require significant computation allow computers learn autonomously. Thus, mathematical data perfecting process writing software could be key remaining employable as more jobs expected shifted due tasks automation. Keywords: Cognitive technology, intelligence, learning,

Язык: Английский

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