State-of-the-Art of Artificial Intelligence


  • Ramjee Prasad CITF Global Capsule, Department of Business Development and Technology, Aarhus University, Herring, Denmark
  • Purva Choudhary CITF Global Capsule, Department of Business Development and Technology, Aarhus University, Herring, Denmark



Turing machine, Turing test, Artificial Intelligence, Big Data, expert systems, machine learning, deep learning, Gartner Hype Cycle


Artificial Intelligence (AI) as a technology has existed for less than a century. In spite of this, it has managed to achieve great strides. The rapid progress made in this field has aroused the curiosity of many technologists around the globe and many companies across various domains are curious to explore its potential. For a field that has achieved so much in such a short duration, it is imperative that people who aim to work in Artificial Intelligence, study its origins, recent developments, and future possibilities of expansion to gain a better insight into the field. This paper encapsulates the notable progress made in Artificial Intelligence starting from its conceptualization to its current state and future possibilities, in various fields. It covers concepts like a Turing machine, Turing test, historical developments in Artificial Intelligence, expert systems, big data, robotics, current developments in Artificial Intelligence across various fields, and future possibilities of exploration.


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Author Biographies

Ramjee Prasad, CITF Global Capsule, Department of Business Development and Technology, Aarhus University, Herring, Denmark

Ramjee Prasad, Fellow IEEE, IET, IETE, and WWRF, is a Professor of Future Technologies for Business Ecosystem Innovation (FT4BI) in the Department of Business Development and Technology, Aarhus University, Herning, Denmark. He is the Founder President of the CTIF Global Capsule (CGC). He is also the Founder Chairman of the Global ICT Standardization Forum for India, established in 2009. He has been honored by the University of Rome “Tor Vergata”, Italy as a Distinguished Professor of the Department of Clinical Sciences and Translational Medicine on March 15, 2016. He is an Honorary Professor of the University of Cape Town, South Africa, and the University of KwaZulu-Natal, South Africa. He has received Ridderkorset of Dannebrogordenen (Knight of the Dannebrog) in 2010 from the Danish Queen for the internationalization of top-class telecommunication research and education. He has received several international awards such as IEEE Communications Society Wireless Communications Technical Committee Recognition Award in 2003 for making contribution in the field of “Personal, Wireless and Mobile Systems and Networks”, Telenor’s Research Award in 2005 for impressive merits, both academic and organizational within the field of wireless and personal communication, 2014 IEEE AESS Outstanding Organizational Leadership Award for: “Organizational Leadership in developing and globalizing the CTIF (Center for TeleInFrastruktur) Research Network”, and so on. He has been the Project Coordinator of several EC projects namely, MAGNET, MAGNET Beyond, eWALL. He has published more than 50 books, 1000 plus journal and conference publications, more than 15 patents, over 140 Ph.D. Graduates and a larger number of Masters (over 250). Several of his students are today worldwide telecommunication leaders themselves.

Purva Choudhary, CITF Global Capsule, Department of Business Development and Technology, Aarhus University, Herring, Denmark

Purva Choudhary worked recently under Prof. Dr. Ramjee Prasad as Guest Researcher at Aarhus University, Denmark. She is a consistently meritorious Electronics and Telecommunication Graduate Engineer from Cummins College of Engineering for Women, University of Pune, India. She has bagged an Indian Patent during her bachelor’s degree. She worked at Accenture Solutions Private Limited, for one and a half years and is currently pursuing M. S. in Computer Science at California State University, Northridge, California, US.

Besides academics, Ms. Purva Choudhary was also very active in extra-curricular activities. During her bachelor’s degree, she worked as Vice Chairman (Editor) for her college magazine, along with working extensively for the National Service Scheme (NSS). Currently, she is an active member of Toastmasters International.


Beavers A. (2013). Alan Turing: Mathematical Mechanist. In Alan Turing: His Work and Impact. Cooper B. S., van Leeuwen J. (eds.). Waltham: Elsevier. pp. 481. ISBN 978-0-12-386980-7.

Turing A.M. (1937). On Computable Numbers, with an Application to the Entscheidungsproblem. In Proceedings of the London Mathematical Society. s2-42(1): pp. 230. doi: 10.1112/plms/s2-42.1.230.

Minsky 1967:107 “In his 1936 paper, A. M. Turing defined the class of abstract machines that now bear his name. A Turing machine is a finite-state machine associated with a special kind of environment – its tape – in which it can store (and later recover) sequences of symbols”, also Stone 1972:8 where the word “machine” is in quotation marks.

French Robert (2000). The Turing Test: The first 50 years. In Trends in Congnitive Sciences. 4(3). pp. 115. doi: 10.1016/S1364-6613(00)01453-4

Turing A.M. (1950). I.—Computing Machinery and Intelligence. In Mind. LIX(236). pp. 433.

The Turing Test, 1950. The Alan Turing Internet Scrapbook.

Russel S. J., Norvig P., et al (1995). Artificial Intelligence: Introduction. In Artificial Intelligence: A Modern Approach. Prentice-Hall, Inc. pp: 5. ISBN 0-13-103805-2.

Smith, G. W. (2015). Art and Artificial Intelligence. ArtEnt. Archived from the original on 25 June 2017.

Feigenbaum E. A. (2003). Some challenges and grand challenges for computational intelligence. In Journal of the ACM. 50 (1). pp. 32. doi:10.1145/602382.602400.

McCorduck P. (2004). The Following Quarter-Century of Artificial Intelligence. In Machines Who Think: A Personal Inquiry into the History and Prospects of Artificial Intelligence (2nd ed.), A. K. Peters, Ltd. pp. 503. ISBN 1-56881-205-1.

Brand S. (1988). The Founding Image and the Connecting Idea. In The media lab: inventing the future at MIT. Penguin Books. pp. 152. ISBN 978-0-14-009701-6

Available at

Available at

Russel S. J., Norvig P., et al. (1995). Artificial Intelligence: The gestation of artificial intelligence (1943-1956). In Artificial Intelligence: A Modern Approach. Prentice-Hall, Inc. pp: 16. ISBN 0-13-103805-2.

Shannon C. E. (1950). Programming a Computer for Playing Chess. In Philosophical Magazine. 741(314). pp. 256

Russel S. J., Norvig P., et al (1995).Game Playing: Introduction: Games as search problems. In Artificial Intelligence: A Modern Approach. Prentice-Hall, Inc. pp: 144. ISBN 0-13-103805-2.

Available at

Moor, J. (2006). The Dartmouth College Artificial Intelligence Conference: The Next Fifty Years. In AI Magazine. 27(4). pp. 87. doi:10.1609/aimag.v27i4.1911

Solomonoff R.J. (1985). The time scale of artificial intelligence: Reflections on social effects. In Human Systems Management. 5(2). pp. 149. doi:10.3233/HSM-1985-5207

Russel S. J., Norvig P., et al (1995). Artificial Intelligence: Early enthusiasm, great expectations (1952–1969). In Artificial Intelligence: A Modern Approach. Prentice-Hall, Inc. pp: 17. ISBN 0-13-103805-2.

Durkin J. (2002). History and Applications: Fall and rebirth of artificial intelligence (1970s). In Expert systems: the technology of knowledge management and decision making for the 21st century. Leondes C.T. (eds). Academic Press. pp. 10. ISBN 978-0-12-443880-4.

Tan H. (2017). A brief history and technical review of the expert system research. In IOP Conference Series: Materials Science and Engineering. 242. doi:10.1088/1757-899X/242/1/012111

Russel S. J., Norvig P., et al (1995). Knowledge-based systems: The key to power? (1969-1979). In Artificial Intelligence: A Modern Approach. Prentice-Hall, Inc. pp: 22. ISBN 0-13-103805-2.

Copeland B. J. (2019). DENDRAL. In Encyclopaedia Britannica, inc. Available at

Feigenbaum, E. A., Buchanan, B. G., Lederberg, J (1971). On generality and problem solving: A case study involving the DENDRAL program. In Machine Intelligence 6, B. Meltzer and D. Michie (eds.). New York: American Elsevier. pp. 165.

Zwass V. (2016). Expert system. In Encyclopaedia Britannica, inc. Available at

Mirjankar N., Ghatnatti S. (2016). Prominence of Expert System and Case Study – DENDRAL. International Journal Of Advanced Networking and Applications. pp. 247. ISSN: 0975-0282

Buchanan B. G., Shortliffe E. H. (eds.) (1984). Rule based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project. Addison Wesley. pp. 4. ISBN 0-201-10172-6

Miller R. A., Pople Jr H. E., Myers J. D. (1982). Internist-I, an experimental computer-based diagnostic consultant for general internal medicine. In New England Journal of Medicine. 307 (8). pp. 468. doi:10.1056/NEJM198208193070803.

Petrick S. R. (1971). Proceedings of the Second Symposium on Symbolic and Algebraic Manipulation. pp. 23.

McDermott J. (1980). R1: An Expert in the Computer Systems Domain. In Proceedings of the First AAAI Conference on Artificial Intelligence. pp. 269.

Hart P.E., Duda R.O., Einaudi M.T. (1978). PROSPECTOR—A computer-based consultation system for mineral exploration. In Journal of the International Association for Mathematical Geology. 10. pp. 589. doi:10.1007/BF02461988

Woods W. A. (1973). Progress in natural language understanding: an application to lunar geology. In Proceedings of the June 4–8, 1973, national computer conference and exposition (AFIPS ’73). Association for Computing Machinery. pp. 441. doi: 10.1145/1499586.1499695

Available at

Hayes-Roth B. F., Waterman D. A., Lenat D. (1983). In Building Expert Systems. Addison-Wesley. ISBN 978-0-201-10686-2.

Russel S. J., Norvig P., et al (1995). AI becomes an industry (1980-1988). In Artificial Intelligence: A Modern Approach. Prentice-Hall, Inc. pp: 24. ISBN 0-13-103805-2.

Aggarwal, A. (2018), Resurgence of Artificial Intelligence During 1983–2010. Available at

Manyika, C. B. B. D. (2011) Big Data: The Next Frontier for Innovation, Competition, and Productivity. McKinsey Global Institute.

Dietrich D., Hiller B. (2012). Big Data Overview. In Data Science & Big Data Analytics. EMC education services, Wiley publications. pp: 3.

Press G. (2016). A Very Short History Of Artificial Intelligence (AI). Available at

Cafolla D., Ceccarelli M. (2016). Experimental Inspiration and Rapid Prototyping of a Novel Humanoid Torso. In Robotics and Mechatronics: Proceedings of the 4th IFToMM International Symposium on Robotics and Mechatronic. Zeghloul S., Laribi M. E., Gazeau J. P. (eds.). pp. 66. ISBN 978-3-319-22368-1.

Koganezawa K., Takanishi A., Sugano S. (1991). Development of Waseda Robot. Ichiro Kato Laboratory, Tokyo.

Available at

Available at

Available at

Available at

Available at

Wizu (2018). A Visual History of Chatbots. Available at

Clelland C. (2017). The Difference between Artificial Intelligence, Machine Learning and Deep Learning. Available at

Copeland M. (2016). What’s the Difference Between Artificial Intelligence, Machine Learning and Deep Learning. Available at

Paradzhanyan (2020). Demystifying Deep Learning and Artificial Intelligence. Available at

Purdy M., Daugherty P. (2016). Why Artificial Intelligence is the future of growth. Available at

Wasylewicz A. T. M., Scheepers-Hoeks A. M. J. W. (2018). Clinical Decision Support Systems. In Fundamentals of Clinical Data Science. Kubben P., Dumontier M., Dekker A. (eds.). Springer. ISBN 1983319997124

Varghese J., Kleine M., Gessner S., Sandmann S., Dugas M. (2018). Effects of computerized decision support system implementations on patient outcomes in inpatient care: a systematic review. In Journal of American Medical Informatics Association (JAMIA). 25(5). pp. 593. doi: 10.1093/jamia/ocx100.

Kawamoto K., Houlihan C. A., Balas A., Lobach D. F. (2005). Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. In BMJ. 330. pp. 765. doi:10.1136/bmj.38398.500764.8F

Castellino R. A. (2005). Computer Aided Detection (CAD): an overview. In Cancer Imaging. 5(1). pp: 17. doi:10.1102/1470-7330.2005.0018

Taylor P., Potts H. W. (2008). Computer aids and human second reading as interventions in screening mammography: two systematic reviews to compare effects on cancer detection and recall rate. In European Journal of Cancer. 44 (6). pp. 798. doi:10.1016/j.ejca.2008.02.016.

(2019) Deep learning for genomics. Nat Genet. 51, 1. doi:10.1038/s41588-018-0328-0

Gadam S. (2018). Artificial Intelligence and Autonomous Vehicles. Available at

Vries E. (2019). In-Car Speech Recognition: The Past, Present and Future. Available at

Available at

Ribbens W. B. (1998). Diagnostics. In Understanding Automotive Electronics (4th Edition). Elsevier Science, Newnes Publication. pp. 354. ISBN 0-7506-7008-8.

Buchanan B. G. (2019). Artificial Intelligence in Finance. The Alan Turing Institute. doi:10.5281/zenodo.2612537

Decision Intelligence. Mastercard. Available at

Morgan B. (2018). Using AI for Customer Experience at Allstate. Available at

Aldridge, I (2013). Introduction. In High-Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems, 2nd edition. Wiley. ISBN 978-1-118-34350-0.

Barbu-Kleitsch O. (2014). Advertising, Microtargeting and Social Media. In Procedia - Social and Behavioral Sciences. 163. pp. 44. doi:10.1016/j.sbspro.2014.12.284

Papakyriakopoulos O., Hegelich S., Shahrezaye M., Serrano J. C. M. (2018). Social media and microtargeting: Political data processing and the consequences for Germany. In Big Data & Society. doi:10.1177/2053951718811844

Korolova A. (2010). Privacy Violations Using Microtargeted Ads: A Case Study. In Conference: ICDMW 2010, The 10th IEEE International Conference on Data Mining Workshops, Sydney, Australia. doi:10.1109/ICDMW.2010.137

Slyusar V. (2019). Artificial intelligence as the basis of future control networks. doi:10.13140/RG.2.2.30247.50087

Tomayko J. E. (2003). The Story of Self-Repairing Flight Control Systems. Gelzer C. (eds.). NASA Dryden.

Schweikhard K. A., Richards W. L., et al. Flight Demonstration Of X-33 Vehicle Health Management System Components On The F/A-18 Systems Research Aircraft. Available at

The future of food and agriculture – Alternative pathways to 2050 (Summary version) (2018). Rome. FAO .pp. 31. Licence: CC BY-NC-SA 3.0 IGO.

Sennaar K. (2019). AI in Agriculture – Present Applications and Impact. Emerj. Available at

The Future of AI in Agriculture. Intel. Available at

Dharmaraj V., Vijayanand C. (2018), Artificial Intelligence (AI) in Agriculture. In International Journal of Current Microbiology and Applied Sciences. 7(12). pp. 2122. doi: 10.20546/ijcmas.2018.712.241

Artificial Intelligence in Agriculture. Mindtree. Available at

Kietzmann, J., Lee, L. W., McCarthy, I. P., Kietzmann, T. C. (2020). Deepfakes: Trick or treat?. Business Horizons. 63 (2). pp. 135. doi:10.1016/j.bushor.2019.11.006.

Afchar D., Nozick V., Yamagishi J. and Echizen, I. (2018). MesoNet: a Compact Facial Video Forgery Detection Network. pp. 1. doi: 10.1109/WIFS.2018.8630761

Koopman M., Rodriguez A. M. and Geradts Z. (2018). Detection of Deepfake Video Manipulation.

Clarke Y. D. (2019). H.R.3230 - 116th Congress (2019-2020): Defending Each and Every Person from False Appearances by Keeping Exploitation Subject to Accountability Act of 2019. Available at

From Drug R&D To Diagnostics: 90+ Artificial Intelligence Startups In Healthcare (2019). Available at

Ribli D., Horváth A., Unger Z., Pollner P., Csabai I. (2018). Detecting and classifying lesions in mammograms with Deep Learning. In Sci Rep. 8, 4165. doi:10.1038/s41598-018-22437-z

Van der Laak J. (2017). Computer-aided Diagnosis: The Tipping Point for Digital Pathology. In Digital Pathology Association.

Agaro E. D. (2018). Artificial Intelligence used in genome analysis studies. The EuroBiotech Journal. 2(2). doi:10.2478/ebtj-2018-0012

Zhao J., Liang B., Chen Q. (2018). The key technology toward the self-driving car. In International Journal of Intelligent Unmanned Systems. 6 (1). pp. 2. doi:10.1108/IJIUS-08-2017-0008.

Baomar H., Bentley P. J. (2016). An Intelligent Autopilot System that learns flight emergency procedures by imitating human pilots. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI). pp. 1. doi:10.1109/SSCI.2016.7849881. ISBN 978-1-5090-4240-1.

Sears A. (2018). The Role Of Artificial Intelligence In The Classroom. eLearning Industry. Available at

Hemming S., Elings A., Righini I., et al. (2019). Remote Control of Greenhouse Vegetable Production with Artificial Intelligence—Greenhouse Climate, Irrigation, and Crop Production. In Sensors. 19(8). pp. 1807. doi:10.3390/s19081807

Purdy M., Daugherty P. (2017). How AI boosts industry profits and innovation. Available at

Aggarwal A. (2018). Domains in Which Artificial Intelligence is Rivaling Humans. Available at

Kurzweil R. (2014). Don’t Fear Artificial Intelligence. Available at

Gartner Hype Cycle: Interpreting Technology Hype. Available at

Goasduff L (2019). Top Trends on the Gartner Hype Cycle for Artificial Intelligence, 2019. Available at

Heaven D. (2019). Why Deep Learning AIs are so easy to fool. In Nature. 574. pp. 163. doi: 10.1038/d41586-019-03013-5

Jiawei S., Vargas D. V., Sakurai K. (2017). One Pixel Attack for Fooling Deep Neural Networks. In IEEE Transactions on Evolutionary Computation. pp. 99. doi: 10.1109/TEVC.2019.2890858

Povolny S., Trivedi S. (2020). Model Hacking ADAS to Pave Safer Roads for Autonomous Vehicles. Available at

Sun W., Olfa N., Shafto P. (2018). Iterating Algorithmic Bias in the interactive Machine Learning Process of Information Filtering. In Scipress. pp. 110. doi:10.5220/0006938301100118



How to Cite

Prasad, R., & Choudhary, P. . (2021). State-of-the-Art of Artificial Intelligence. Journal of Mobile Multimedia, 17(1-3), 427–454.




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