• Dr. Neha Yajurvedi
• Dr. Anuj Goel
• Dr. Preeti Garg

Artificial intelligence is now a developing field of study. It essentially makes a specific application imitate computer systems. Computer systems may make manual labor easier in many ways, somewhat like robots, and thus artificial intelligence. In this article, the technologies of artificial intelligence addressed and contrasted include Vector Machines Support, Artificial Networks, Markov Decision Processing and Natural Language Processing. The model may be used to assess the class and unknown data points after the training of a classifier algorithm on the data points to which the class was determined. Vector machines and Markov Decision processes handle input databases while Artificial Neural Networks and Natural Language Processing show to be efficient at processing images in real-time. Comparisons are made with regard to the percentage of accuracy. The highest accuracy of the artificial neural networks is 95.78% while the Markov Decision Process shows the lower accuracy percentage of 90.05%. The proportion of accuracy of vector machines and natural language processing is 92.61% and 95.66% respectively.

Artificial Intelligence, Artificial Neural Networks, Computer System, Markov Decision Process, Natural Language Processing.

"Technologies of Artificial Intelligence: A Brief Overview", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.245-250, August-2018, Available :http://www.jetir.org/papers/JETIRFF06043.pdf

"Technologies of Artificial Intelligence: A Brief Overview", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp245-250, August-2018, Available at : http://www.jetir.org/papers/JETIRFF06043.pdf