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Artificial Intelligence: Recent Trends, Opportunities, and Challenges in Real-World Scenarios

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Machine Learning and Big Data Analytics (ICMLBDA 2022)

Abstract

In the near future, artificially intelligent machines will replace and enhance human capabilities in many fields or areas. Artificial intelligence is the intelligence exhibited by machines or software. It is the sub-field of Computer Science and Engineering and popular field in its human life in many areas. Artificial intelligence in the last two decades has dramatically improved the performance of manufacturing and service systems. Studying artificial intelligence has given rise to the rapidly growing technology known as an expert system. Application areas of artificial intelligence have a vast impact on different fields of life. An expert system is widely used to solve the many more complex problems in science, engineering, business, medicine, archeology, robotics, space research, and weather forecasting. These areas employing the technology of artificial intelligence have seen an increased opportunity in the quality and efficiency in every markable field.

This paper represents an overview of these current technologies and the application areas of this occupied existing technology using AI. This paper will also explore the everyday use of artificial intelligence technologies in every field in rapidly changing human life and including nanotechnology, space communication, structural design, protection of computer communication networks from intruders, security challenges, and military operations, improving medical and healthcare, hospital inpatient care, and for medical image classification, in the accounting databases to mitigate the problems of it and in the computer games and educational sectors and financial sector.

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References

  1. C. Sampada, et al., “Adaptive Neuro-Fuzzy Intrusion Detection Systems,” Proceedings: International Conference on Information Technology: Coding and Computing (ITCC``04), 2004.

    Google Scholar 

  2. Daniel B. Neill, “Using Artificial Intelligence to Improve Hospital Inpatient Care.”

    Google Scholar 

  3. Daniel E.O. “Leary Artificial Intelligence and Expert System in Accounting Databases: Survey and Extensions,” Expert Systems with Applications, vol-3, 1991.

    Google Scholar 

  4. Fatai Adesina Anifowose, Safiriyu Ibiyemi Eludiora, “Application of Artificial Intelligence in Network Intrusion Detection,” World Applied Programming, Vol (2), No (3), March 2012.

    Google Scholar 

  5. F. D. Laramee, Genetic Algorithms: Evolving the Perfect Troll, AI Game Programming Wisdom, Charles River Media, Inc., Hingham, MA, 2002

    Google Scholar 

  6. Holland JH, “Adaptation in Natural and Artificial Systems,” 1975.

    Google Scholar 

  7. Oscar Firschein, Martin A. Fischler, L. Stephen Coles, Jay M. Tenenbaum, “FORECASTING AND ASSESSING THE IMPACT OF ARTIFICIAL INTELLIGENCE ON SOCIETY,” unpublished.

    Google Scholar 

  8. S.N. Deepa, B. Aruna Devi, “A survey on artificial intelligence approaches for medical image classification,” Indian Journal of Science and Technology, Vol. 4 No. 11 (Nov 2011).

    Google Scholar 

  9. Vassilis S Kodogiannis and John N Lygouras (2008) Neuro-fuzzy classification system for wireless-capsule endoscopic images. J. World Acad. Sci. Engg. & Technol., 45, 620–628.

    Google Scholar 

  10. http://www.wikipedia.org/nanotechnology

  11. Fierce drug delivery Freitas RA Jr (2005) Nanotechnology, nanomedicine, and nanosurgery. Int J Surg 3: 243–246.

    Google Scholar 

  12. W. Karen. (May 2013). GNS aims to help MDs know which treatment will work the best for each patient. The Boston Globe. [Online]. Available: http://www.bostonglobe.com/business/2013/05/12/personalized-medicine-goal-big-data-scientist/28gTkXjCDj6Zh6KP5tpNBO/story.html

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Correspondence to Bosubabu Sambana .

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Sambana, B. et al. (2023). Artificial Intelligence: Recent Trends, Opportunities, and Challenges in Real-World Scenarios. In: Misra, R., Omer, R., Rajarajan, M., Veeravalli, B., Kesswani, N., Mishra, P. (eds) Machine Learning and Big Data Analytics. ICMLBDA 2022. Springer Proceedings in Mathematics & Statistics, vol 401. Springer, Cham. https://doi.org/10.1007/978-3-031-15175-0_4

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