editedbook
Publication: IIP Proceedings Year: 2022, Month: November Page No: 216-224, ISSN/ISBN: 978-93-95632-70-6, DOI/Link: https://rsquarel.org/assets/docupload/rsl20232C5A7A4B8E12F28.pdf
FUTURISTIC TRENDS IN ARTIFICAL INTELLIGENCE AND MACHINE LEARNING
Area/Stream: Artificial Intelligence, Authors: Dr. V Sheeja Kumari, Dr. M Rajasekar Keywords: Innovations, Advancements, Automation, and trends in artificial intelligence Book Name /series: Futuristic Trends in Artificial Intelligence, Volume 2, Book 16, Chapter 22Publication: IIP Proceedings Year: 2022, Month: November Page No: 216-224, ISSN/ISBN: 978-93-95632-70-6, DOI/Link: https://rsquarel.org/assets/docupload/rsl20232C5A7A4B8E12F28.pdf
Abstract:
Artificial intelligence (AI) is developing more quickly than ever. Human intelligence is currently being simulated, extended, and expanded via new technological applications and systems. AI has attracted ever-increasing attention in a variety of sectors as a result of the continuing advancement of AI science and the advancement of simulations of human consciousness and cognitive information processes. It is therefore increasingly being used in sectors like robotics, healthcare, manufacturing, environmental protection, and network building. AI has become a top trend in practically every business, not just large multinational technology corporations, because it is so seductive and disruptive. Furthermore, AI applications will keep spreading into more and more facets of daily life as science and technology continue to advance. Artificial intelligence (AI) is a research and innovation movement that is anticipated to have a big impact on businesses and society. However, there are a variety of viewpoints on its potential impacts. This study presents several theories and methods on potential developments in artificial intelligence. In this chapter, I discuss the anticipated embodied AI breakthroughs during the next 25 to 35 years. Biological Systems Intelligence and the Insect/Swarm Intelligence analogy/mimicry, albeit widely ignored, I feel, represents the key to further breakthroughs. We propose that the famous Turing Test was a worthy goal for AI scientists, making crucial, historical inroads. Include a quick summary of the main areas of historical and current research as well as an outlook for this outstanding field's expected future advances. The data reveals that Deep Learning has experienced the fastest average growth rate among AI-based advancements in recent years. Similar to this, deep learning is viewed by AI experts as a significant trend in the field. Artificial intelligence has gradually grown over the last few years, establishing roots in practically every industry. AI-based innovations and improvements have bemade recently. The use of AI is not restricted to a single field; it may be found in everything from a small detail to a ground-breaking invention. Numerous tools and technologies have been created, creating a new world, and there may even be some future advances. As a result, it offers an automated route leading to a promising future. Here, provided a thorough overview of all the advancements and current developments in artificial intelligence in this paper.
Cite this: Dr. V Sheeja Kumari, Dr. M Rajasekar,"FUTURISTIC TRENDS IN ARTIFICAL INTELLIGENCE AND MACHINE LEARNING", Futuristic Trends in Artificial Intelligence, Volume 2, Book 16, Chapter 22, November, 2022, 216-224, 978-93-95632-70-6, https://rsquarel.org/assets/docupload/rsl20232C5A7A4B8E12F28.pdf
Views: 4171
Download File
News