AI applications have significantly evolved over the past few years and have found its applications in almost every business sector. AI is making a huge impact in all domains of the industry. Every industry looking to automate certain jobs through the use of intelligent machinery. This paper reviews the work of numerous researchers to get a brief overview about the current implementation of automation in agriculture. The aim of this paper is to identify gaps within the agricultural literature, and gaps in AI guidelines, that may need to be addressed. Moreover, Artificial Intelligence is now a reality in the Higher Education sector as we have started experimenting with the technology and reaping the benefits from the same. But this reality is marginal as there is still a long way to go for AI in the context of development and application in the Education sector. Healthcare organizations in different specialties are also getting more interested in how artificial intelligence can make accurate readings and results to several biological reports and thus gain a better diagnosis of the disease. The aim of this review is to keep track of new scientific accomplishments, to understand the availability of technologies, to appreciate the tremendous potential of AI in biomedicine, and to provide researchers in related fields with inspiration. New progress and breakthroughs will continue to push the frontier and widen the scope of AI applications, and fast developments are envisioned in the foreseeable future.

Artificial Intelligence and Software Engineering are the two fields of computer science that have many commonalities. Both fields deal with modelling and real-world problems. Both the fields of computer science have different characteristics, benefits, and limitations. There are many possibilities that the researcher may apply the available methods, tools, and techniques of Artificial Intelligence to Software Engineering and vice versa in a manner that good things, characteristics, and advantages of both fields are consumed, and limitations may be neglected. An intersection area between AI and SE is found during its applicability, which forms the relation between AI and SE. This article gives a short overview about these disciplines, describes some current topics against the background of common points of contact, and discusses the factors that come while communicating between AI and SE. Keywords: Artificial Intelligence, Software Engineering, Interaction, aspects