A Deliberation on the Stages of Artificial Intelligence
Authors: Jiran Kurian and Rohini V
Publishing Date: 29-09-2021
ISBN: 978-93-91842-08-6
Abstract
Artificial Intelligence (AI) is a technology that can be programmed to mimic humans' natural intelligence, which helps the machines perform the tasks that a human being can do. After a long research period from 1955, the researchers have achieved remarkable achievements like machine learning and deep learning in this field. Other areas like education, agriculture, medical, etc., to name a few, also utilizing these technologies for its improvements. All the achievements made in this field are not even comparable to the actual depth of this technology, where the depth of AI is yet to measure; that is, a long way to go to develop a fully functional AI. To identify the extent of its depth, firstly, the path to the AI's core should be visibly defined, and secondly, the milestones are to be placed in between. There are some general stages and types of AI introduced by other researchers, but it cannot be used for further research due to the inconsistency in the information. So, bringing standardized information in the Stages of AI is as important as setting up a good base in this field. The paper proposes and defines new stages of AI that could help set the milestones. The work also places a general standard, brings more clarity, and eliminates the inconsistencies in the Stages of AI.
Keywords
Logistic Regression, K-Nearest Neighbors Term Frequency-Inverted Document Frequency (TF-IDF), Deep Neural Networks, Bidirectional Encoder Representations from Transformers (BERT)
Cite as
Jiran Kurian and Rohini V, "A Deliberation on the Stages of Artificial Intelligence", In: Raju Pal and Praveen Kumar Shukla (eds), SCRS Conference Proceedings on Intelligent Systems, SCRS, India, 2021, pp. 1-11. https://doi.org/10.52458/978-93-91842-08-6-1