@article{(Open Science Index):https://publications.waset.org/pdf/10013153,
	  title     = {Artificial Intelligence: A Comprehensive and Systematic Literature Review of Applications and Comparative Technologies},
	  author    = {Z. M. Najmi},
	  country	= {},
	  institution	= {},
	  abstract     = {Over the years, the question around Artificial Intelligence has always been one with many answers. Whether by means of use in business and industry or complicated algorithmic programming, management of these technologies has always been the core focus. More recently, technologies have been questioned in industry and society alike as to whether they have improved human-centred design, assisted choices and objectives, and had a hand in systematic processes across the board. With these questions the answer may lie within AI technologies, and the steps needed in removing common human error. Elements such as Machine Learning, Deep Learning, Recommender Systems and Natural Language Processing will all be features to consider moving forward. Our previous intervention with AI applications has resulted in increased productivity, however, raised concerns for the continuation of traditional human-centred occupations. Emerging technologies such as Augmented Reality and Virtual Reality have all played a part in this during AI’s prominent rise. As mentioned, AI has been constantly under the microscope; the benefits and drawbacks may seem endless is wide, but AI is something we must take notice of and adapt into our everyday lives. The aim of this paper is to give an overview of the technologies surrounding A.I. and its’ related technologies. A comprehensive review has been written as a timeline of the developing events and key points in the history of Artificial Intelligence. This research is gathered entirely from secondary research, academic statements of knowledge and gathered to produce an understanding of the timeline of AI.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {17},
	  number    = {7},
	  year      = {2023},
	  pages     = {402 - 420},
	  ee        = {https://publications.waset.org/pdf/10013153},
	  url   	= {https://publications.waset.org/vol/199},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 199, 2023},
	}