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Insights into the Advancements of Artificial Intelligence and Machine Learning, the Present State of Art, and Future Prospects: Seven Decades of Digital Revolution

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Smart Computing Techniques and Applications

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 225))

Abstract

The desire of human intelligence to surpass its potential has triggered the emergence of artificial intelligence and machine learning. Over the last seven decades, these terms have gained much prominence in the digital arena due to its wide adoption of techniques for designing affluent industry-enabled solutions. In this comprehensive survey on artificial intelligence, the authors provide insights from the evolution of machine learning and artificial intelligence to the present state of art and how the technology in future can be exploited to yield solutions to some of the challenging global problems. The discussion centers around successful deployment of diverse use cases for the present state of affairs. The rising interest among researchers and practitioners led to the unfolding of AI into many popular subfields as we know today. Through the course of this research article, the authors provide brief highlights about techniques for supervised as well as unsupervised learning. AI has paved the way to accomplish cutting-edge research in complex competitive domains ranging from autonomous driving, climate change, cyber-physical security systems, to healthcare diagnostics. The study concludes by depicting the growing share in market revenues from artificial intelligence-powered products and the forecasted billions of dollars worth of market shares ahead in the coming decade.

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References

  1. Alkrimi, J., Ahmad, A., George, L., Aziz, S.: Review of artificial intelligence. Int. J. Sci. Res. 2, 487–505 (2013)

    Google Scholar 

  2. Oke, S.: A literature review on artificial intelligence. Int. J. Inf. Manage. Sci. 19, 535–570 (2008)

    MathSciNet  MATH  Google Scholar 

  3. Schmidt, J., Marques, M.R.G., Botti, S., et al.: Recent advances and applications of machine learning in solid-state materials science. NPJ Comput. Mater. 5, 83 (2019). https://doi.org/10.1038/s41524-019-0221-0

  4. Weinreb, D., Moon, D.: The lisp machine manual. ACM SIGART Bull. 78, 10–10 (1981)

    Article  Google Scholar 

  5. Weizenbaum, J.: ELIZA—a computer program for the study of natural language communication between man and machine. Commun. ACM 9(1), 36–45 (1966)

    Article  Google Scholar 

  6. https://www.forbes.com/sites/gilpress/2016/12/30/a-very-short-history-of-artificial-intelligence-ai/#135cebe96fba

  7. Moravec, H.P.: The Stanford cart and the CMU rover. Proc. IEEE 71(7), 872–884 (1983)

    Article  Google Scholar 

  8. Barker, V.E., O’Connor, D.E., Bachant, J., Soloway, E.: Expert systems for configuration at Digital: XCON and beyond. Commun. ACM 32(3), 298–318 (1989)

    Article  Google Scholar 

  9. High, R.: The era of cognitive systems: an inside look at IBM Watson and how it works, pp. 1–16. Redbooks, IBM Corporation (2012)

    Google Scholar 

  10. Hassoun, M.H.: Fundamentals of Artificial Neural Networks. MIT Press, Cambridge (1995). https://doi.org/10.1109/JPROC.1996.503146

  11. Fogel, D.B.: Evolutionary Computation: Toward a New Philosophy of Machine Intelligence, vol. 1. Wiley, New York (2006)

    Google Scholar 

  12. Ryan, C., Collins, J.J., Neill, M.O.: Grammatical evolution: evolving programs for an arbitrary language. In: European Conference on Genetic Programming, pp. 83–96. (1998)

    Google Scholar 

  13. Joseph, S., Sedimo, K., Kaniwa, F., Hlomani, H., Letsholo, K.: Natural language processing: A review. Nat. Lang. Process. Rev. 6, 207–210 (2016)

    Google Scholar 

  14. James, G., Witten, D., Hastie, T., Tibshirani, R.: Statistical learning. In: An Introduction to Statistical Learning. Springer Texts in Statistics, vol. 103. Springer, New York (2013). https://doi.org/10.1007/978-1-4614-7138-7_2

  15. Nikravesh, M.: Evolution of fuzzy logic: from intelligent systems and computation to human mind. In: Nikravesh, M., Kacprzyk, J., Zadeh, L.A. (eds.) Forging New Frontiers: Fuzzy Pioneers I. Studies in Fuzziness and Soft Computing, vol. 217. Springer, Berlin (2007). https://doi.org/10.1007/978-3-540-73182-5_3

  16. Atzori, L., Iera, A., Morabito, G.: The internet of things: a survey. Comput. Netw. 54(15), 2787–2805 (2010). https://doi.org/10.1016/j.comnet.2010.05.010

    Article  MATH  Google Scholar 

  17. Draper, N.R., Smith, H.: Applied Regression Analysis, vol. 326. Wiley, New York (1998). https://doi.org/10.1002/9781118625590

  18. Vlachos, M.: Dimensionality reduction. In: Sammut, C., Webb, G.I. (eds.) Encyclopedia of Machine Learning and Data Mining. Springer, Boston (2017). https://doi.org/10.1007/978-1-4899-7687-1_71

  19. Pandey, M., Taruna, S.: A comparative study of ensemble methods for students’ performance modeling. Int. J. Comput. Appl. 103, 26–32 (2014). https://doi.org/10.5120/18095-9151

  20. Safavian, S.R., Landgrebe, D.: A survey of decision tree classifier methodology. IEEE Trans. Syst. Man Cybern. 21(3), 660–674 (1991). https://doi.org/10.1109/21.97458

    Article  MathSciNet  Google Scholar 

  21. Anyanwu, M.N., Shiva, S.G.: Comparative analysis of serial decision tree classification algorithms. Int. J. Comput. Sci. Secur. 3(3), 230–240 (2009)

    Google Scholar 

  22. Lasota, T., Sachnowski, P., Trawiński, B.: Comparative analysis of regression tree models for premises valuation using statistica data miner. In: Nguyen, N.T., Kowalczyk, R., Chen, S.M. (eds.) Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems (ICCCI 2009). Lecture Notes in Computer Science, vol. 5796. Springer, Berlin (2009). https://doi.org/10.1007/978-3-642-04441-0_68

  23. Neal, R.M.: Bayesian Learning for Neural Networks, vol. 118. Springer Science & Business Media (2012)

    Google Scholar 

  24. Noble, W.: What is a support vector machine? Nat. Biotechnol. 24, 1565–1567 (2006). https://doi.org/10.1038/nbt1206-1565

    Article  Google Scholar 

  25. Jain, A.K., Narasimha Murty, M., Flynn, P.J.: Data clustering: a review. ACM Comput. Surv. (CSUR) 31(3), 264–323 (1999)

    Google Scholar 

  26. Fang, L., Qizhi, Q.: The study on the application of data mining based on association rules. In: 2012 International Conference on Communication Systems and Network Technologies, Rajkot, pp. 477–480 (2012). https://doi.org/10.1109/CSNT.2012.108

  27. Hipp, J., Güntzer, U., Nakhaeizadeh, G.: Algorithms for association rule mining—a general survey and comparison. ACM SIGKDD Explor. Newsl. 2(1), 58–64 (2000). https://doi.org/10.1145/360402.360421

    Article  Google Scholar 

  28. Pouyanfar, S., Sadiq, S., Yan, Y., Tian, H., Tao, Y., Reyes, M.P., et al.: A survey on deep learning: Algorithms, techniques, and applications. ACM Comput. Surv. (CSUR) 51(5), 1–36 (2018). https://doi.org/10.1145/3234150

  29. Artificial Intelligence Market Forecasts (2020). https://tractica.omdia.com/research/artificial-intelligence-market-forecasts/

  30. Algorithma: 2020 state of enterprise machine learning (2020). https://info.algorithmia.com/hubfs/2019/Whitepapers/The-State-of-Enterprise-ML-2020/Algorithmia_2020_State_of_Enterprise_ML

  31. Sage Growth Partners, Blackbook Research, 2020. COVID-19 Market Pulse, pp. 1–4. [Online]. Black Book Market Research, United States. Available at: https://blackbookmarketresearch.com

  32. Ugalmugale, S., Swain, R.: Telemedicine Market Share Report|Global 2020–2026 Industry Data. [Online]. Global Market Insights, United States (2020). Available at: https://www.gminsights.com/industry-analysis/telemedicine-market

  33. Bhutani, A., Wadhwani, P.: Wearable AI market trends—Industry Statistics Report 2025 (2019). https://www.gminsights.com/industry-analysis/wearable-ai-market

  34. Fortune Business Insights, 2020. Market Research Report. [Online]. Fortune Business Insights.https://www.fortunebusinessinsights.com/industry-reports/toc/artificial-intelligence-market-100114

  35. Grand View Research, 2020. Market Analysis Report. [Online]. Grand View Research. https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-ai-market

  36. López de Mántaras, R.: The future of AI: toward truly intelligent artificial intelligences. In: Towards a New Enlightenment? A Transcendent Decade. BBVA, Madrid (2018)

    Google Scholar 

  37. Revenues from the Artificial Intelligence (AI) software Market worldwide from 2018 to 2025. (2020). https://www.statista.com/statistics/607716/worldwide-artificial-intelligence-market-revenues/

  38. Market Key Insight and COVID-19 Impact Analysis (2020). https://www.marketresearchfuture.com/reports/machine-learning-market-2494

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Authors and Affiliations

  1. Government College of Engineering, Aurangabad, Maharashtra, India

    Prabhleen Bindra, Gauri Vaidya & Vivek Kshirsagar

  2. Biocomputing and Developmental Systems Lab, Lero, the Science Foundation Ireland Research Centre for Software, University of Limerick, Limerick, Ireland

    Meghana Kshirsagar & Conor Ryan

  3. Limerick Institute of Technology, Limerick, Ireland

    Krishn Kumar Gupt

Authors
  1. Prabhleen Bindra
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  2. Meghana Kshirsagar
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  3. Conor Ryan
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  4. Gauri Vaidya
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  5. Krishn Kumar Gupt
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  6. Vivek Kshirsagar
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Corresponding author

Correspondence to Meghana Kshirsagar .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  2. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia

    Margarita N. Favorskaya

  4. Department of Computer Science and Engineering, Vasavi College of Engineering, Hyderabad, Telangana, India

    T. Adilakshmi

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Bindra, P., Kshirsagar, M., Ryan, C., Vaidya, G., Gupt, K.K., Kshirsagar, V. (2021). Insights into the Advancements of Artificial Intelligence and Machine Learning, the Present State of Art, and Future Prospects: Seven Decades of Digital Revolution. In: Satapathy, S.C., Bhateja, V., Favorskaya, M.N., Adilakshmi, T. (eds) Smart Computing Techniques and Applications. Smart Innovation, Systems and Technologies, vol 225. Springer, Singapore. https://doi.org/10.1007/978-981-16-0878-0_59

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