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ARTIFICIAL INTELLIGENCE'S EFFECT ON NETWORKING TECHNOLOGY IN THE FUTURE
- Author(s):
- Prabhakara Uyyala (see profile) , Dr. DYAN CHANDRA YADAV
- Date:
- 2023
- Subject(s):
- Computer science, Application software
- Item Type:
- Article
- Tag(s):
- artificial intelligence, network analysis, software, network approaches, ML, AI
- Permanent URL:
- https://doi.org/10.17613/6ss3-6457
- Abstract:
- Artificial Intelligence is the science and engineering of making intelligent machines, aimed at providing machines with the ability to think, reach, and surpass human-level intelligence. In this paper, we begin with an introduction to the general field of artificial intelligence, then progress to the birth, history, and the rise of artificial intelligence. We then explore the main streams in the field, along with the advancement, evolution, and its applications for various aspects of our life. The paper will cover central and current research related to artificial intelligence, including reinforcement learning, robotics, computer vision, and symbolic logic. In parallel, we highlight the unique advantages for future technologies, focusing on opportunities, limitations, and ethical questions. To conclude, we describe several current areas of research within the field and recommendations for future research.
- Metadata:
- xml
- Published as:
- Journal article Show details
- Publisher:
- Journal of Interdisciplinary Cycle Research
- Pub. Date:
- May-2023
- Journal:
- ARTIFICIAL INTELLIGENCE\\\\\\\'S EFFECT ON NETWORKING TECHNOLOGY IN THE FUTURE
- Volume:
- XV
- Issue:
- V
- Page Range:
- 740 - 750
- ISSN:
- 0022-1945
- Status:
- Scheduled
- Last Updated:
- 4 months ago
- License:
- Attribution-NonCommercial