Volume - 4 | Issue - 4 | december 2022
DOI
10.36548/jaicn.2022.4.002
Published
09 November, 2022
The motive of the study of Frontiers of Artificial Intelligence (AI) is to get a brief idea about the aspects of the theoretical approach in the field of AI after a decade. Artificial Intelligence can be defined as the field of computer science that automates machines to behave and act like humans using a set of roots and algorithms. The topics of interest involved are learning techniques such as Reverse Learning, Unlearning, Adaptive Machine Learning, and Deep Personalization with AI. In the scientific field, AI has become a new trend and adaptable tool. As a consequence of the tremendous expansion of AI in several aspects of modern existence, new approaches and learning methods are to be introduced and to be updated frequently. A few of the difficulties include data quality and availability, validations, and errors across various use cases. Architecture for interchange is required so that AI can spread dynamically into every potion of advanced life and learn from one another. The focus of the work has been on enhancing capabilities with AI in a variety of areas.
KeywordsAdaptive machine learning AI DNN Learning ML personalization unlearning
