Abstract
Artificial intelligence (AI) is a set of theories and techniques implemented in order to achieve solutions capable of simulating intelligence. However, the quick progress in AI raises many questions regarding the benefits and risks of this technology, which can be used in many areas, drawing on advanced software and computers. The AI has also become more popular and especially used for modeling the complex behavior of most life solutions because it shows superior predictive power compared to traditional methods. This document presents the AI technology with a focus on strengths and weaknesses in its various applications to extract a list of the pros and cons of AI technology and reminds of some obstacles that can be faced during the completion of their projects. The contributions presented in this document reveal the high potential of AI methods as tools for predicting and optimizing different applications. In addition, challenges and directions for future research in the area of the use of AI techniques are presented and discussed.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsAbbreviations
- AADRP:
-
Agency for Advanced Defense Research Projects
- AAOD:
-
American Air Operations Division
- AI:
-
Artificial Intelligence
- AIVA:
-
Artificial Intelligence Virtual Artist
- ATC:
-
Air-Traffic-Control
- DAAI:
-
Design Assisted by Artificial Intelligence
- HVAC:
-
Heating, Ventilation and Air Conditioning
- ITS:
-
Intelligent Tutoring Systems
- KBS:
-
Knowledge Based Systems
- KE:
-
Knowledge Engineering
- MEC:
-
Mobile Edge Computing
- ML:
-
Machine Learning
- MOOC:
-
Massive Open Online Courses
- ZAML:
-
Zest Automated Machine Learning
References
Flasiński, M., Flasiński, M.: History of artificial intelligence. In: Introduction to Artificial Intelligence (2016)
O’Regan, G., O’Regan, G.: Marvin Minsky. In: Giants of Computing (2013)
Entwistle, A.: What is artificial intelligence? Eng. Mater. Des. (1988). https://doi.org/10.1007/978-1-4842-3799-1_1
Copeland, B.J.: Artificial intelligence | Definition, Examples, and Applications | Britannica (2020). https://www.britannica.com/technology/artificial-intelligence. Accessed 26 Apr 2020
Murphy, R.R.: Introduction to AI robotics. BJU Int. (2000). https://doi.org/10.1111/j.1464-410X.2011.10513.x
McConaghy, E.: Automaton. West. Hum., Rev (2012)
Saba, D., Berbaoui, B., Degha, H.E., Laallam, F.Z.: A generic optimization solution for hybrid energy systems based on agent coordination. In: Hassanien, A.E., Shaalan, K., Gaber, T., Tolba, M.F. (eds.) Advances in Intelligent Systems and Computing, pp. 527–536. Springer, Cham, Cairo—Egypte (2018)
Saba, D., Degha, H.E., Berbaoui, B., et al.: Contribution to the modeling and simulation of multi-agent systems for energy saving in the habitat. In: Djarfour, N. (ed.) International Conference on Mathematics and Information Technology, p. 1. IEEE, Adrar-Algeria (2017)
Saba, D., Sahli, Y., Abanda, F.H., et al.: Development of new ontological solution for an energy intelligent management in Adrar city. Sustain. Comput. Inform. Syst. 21, 189–203 (2019). https://doi.org/10.1016/J.SUSCOM.2019.01.009
Saba, D., Laallam, F.Z., Degha, H.E., et al.: Design and development of an intelligent ontology-based solution for energy management in the home. In: Hassanien, A.E. (ed.) Studies in Computational Intelligence, 801st edn, pp. 135–167. Springer, Cham, Switzerland (2019)
Saba, D., Maouedj, R., Berbaoui, B.: Contribution to the development of an energy management solution in a green smart home (EMSGSH). In: Proceedings of the 7th International Conference on Software Engineering and New Technologies—ICSENT 2018, pp. 1–7. ACM Press, New York, NY, USA (2018)
Saba, D., Zohra Laallam, F., Belmili, H. et al.: Development of an ontology-based generic optimisation tool for the design of hybrid energy systems. Int. J. Comput. Appl. Technol. 55, 232–243 (2017). https://doi.org/10.1504/IJCAT.2017.084773
Degha, H.E., Laallam, F.Z., Said, B., Saba, D.: Onto-SB: Human profile ontology for energy efficiency in smart building. In: Larbi Tebessi university A (eds.) 2018 3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS). IEEE, Tebessa, Algeria (2018)
Saba, D., Laallam, F.Z., Berbaoui, B., Fonbeyin, H.A.: (2016) An energy management approach in hybrid energy system based on agent’s coordination. In: The 2nd international conference on advanced intelligent systems and informatics (AISI’16). Advances in Intelligent Systems and Computing, Cairo, Egypt
Saba, D., Laallam, F.Z., Hadidi, A.E., Berbaoui, B.: Contribution to the management of energy in the systems multi renewable sources with energy by the application of the multi agents systems “MAS”. Energy Procedia 74, 616–623 (2015). https://doi.org/10.1016/J.EGYPRO.2015.07.792
Cockcroft, K.: Book review: international handbook of intelligence. South African J. Psychol. (2005). https://doi.org/10.1177/008124630503500111
Mcculloch, W.S., Pitts, W.: A logical calculus nervous activity. Bull. Math. Biol. (1990). https://doi.org/10.1007/BF02478259
Wiener, N.: Norbert Wiener, 1894–1964. IEEE Trans. Inf. Theory (1974). https://doi.org/10.1109/TIT.1974.1055201
Chiu, E., Lin, J., Mcferron, B., et al.: Mathematical Theory of Claude Shannon. Work Pap (2001)
Gass, S.I.: John von Neumann. In: International Series in Operations Research and Management Science (2011)
Newell, A., Shaw, J.C., Simon, H.A.: Elements of a theory of human problem solving. Psychol. Rev. (1958). https://doi.org/10.1037/h0048495
Nilsson, N.J.: Shakey The Robot (1984)
Brooks, R.A.: New approaches to robotics. Science (80) (1991). https://doi.org/10.1126/science.253.5025.1227
Li, B.H., Hou, B.C., Yu, W.T., et al.: Applications of artificial intelligence in intelligent manufacturing: a review. Front. Inf. Technol. Electron. Eng. (2017)
Internetlivestats: Internet Live Stats—Internet Usage & Social Media Statistics (2020). https://www.internetlivestats.com/. Accessed 20 Feb 2020
Internetlivestats: 1 Second—Internet Live Stats (2020). https://www.internetlivestats.com/one-second/#tweets-band. Accessed 20 Feb 2020
Trends.google.com: Macron, Trump—Découvrir - Google Trends (2020). https://trends.google.com/trends/explore?q=Macron,Trump. Accessed 20 Feb 2020
Powles, J., Hodson, H.: Google DeepMind and healthcare in an age of algorithms. Health Technol (Berl) (2017). https://doi.org/10.1007/s12553-017-0179-1
DeepMind: AlphaStar: mastering the real-time strategy game StarCraft II. DeepMind (2019)
Lau, J., Zimmerman, B., Schaub, F.: Alexa, are you listening? Proc. ACM Hum.-Comput. Interact (2018). https://doi.org/10.1145/3274371
Bell, T.: 6 ways Facebook uses AI | CIO (2018). https://www.cio.com/article/3280266/6-ways-facebook-uses-artificial-intelligence.html. Accessed 26 Apr 2020
Hoy, M.B.: Alexa, Siri, Cortana, and more: an introduction to voice assistants. Med. Ref. Serv. Q. (2018). https://doi.org/10.1080/02763869.2018.1404391
Apple: Optimizing Siri on HomePod in Far‑Field Settings—Apple, vol. 1, Issue 12
Reddy, R.: Foundations and grand challenges of artificial intelligence. AI Mag. (1988)
Van Remoortere, P.: Computer-based medical consultations: MYCIN. Math Comput. Simul. (1979). https://doi.org/10.1016/0378-4754(79)90016-8
Saba, D., Laallam, F.Z., Hadidi, A.E., Berbaoui, B.: Optimization of a multi-source system with renewable energy based on ontology. Energy Procedia 74, 608–615 (2015). https://doi.org/10.1016/J.EGYPRO.2015.07.787
Campbell, M., Hoane, A.J., Hsu, F.H.: Deep blue. Artif. Intell. (2002). https://doi.org/10.1016/S0004-3702(01)00129-1
Saba, D., Laallam, F.Z., Berbaoui, B., Abanda, F.H.: An energy management approach in hybrid energy system based on agent’s coordination. In: Hassanien, A., Shaalan, K., Gaber, T., Azar, A.T.M. (eds.) Advances in Intelligent Systems and Computing, 533rd edn, pp. 299–309. Springer, Cham, Cairo, Egypte (2017)
Saba, D., Degha, H.E., Berbaoui, B., et al.: Contribution to the modeling and simulation of multiagent systems for energy saving in the habitat. International Conference on Mathematics and Information Technology (ICMIT 2017), pp. 204–208. IEEE, Adrar, Algeria (2018)
Saba, D., Degha, H.E., Berbaoui, B., Maouedj, R.: Development of an ontology based solution for energy saving through a smart home in the city of Adrar in Algeria, pp. 531–541. Springer, Cham (2018)
Kerber, M., Lange, C., Rowat, C.: An introduction to mechanized reasoning. J. Math. Econ. 66, 26–39 (2016). https://doi.org/10.1016/J.JMATECO.2016.06.005
Siekmann J (2014) Computational Logic, pp. 15–30
Peng, H.G., Wang, J.Q.: Hesitant uncertain linguistic Z-Numbers and their application in multi-criteria group decision-making problems. Int. J. Fuzzy Syst. (2017). https://doi.org/10.1007/s40815-016-0257-y
Huitt, W.G.: Problem solving and decision making: consideration of individual differences using the myers-briggs type indicator. J. Psychol. Type (1992). https://doi.org/10.1017/CBO9781107415324.004
Wilson, D.R.: Hand book of collective intelligence. Soc. Sci. J. (2017). https://doi.org/10.1016/j.soscij.2017.10.004
Upadhyay, S.K., Chavda, V.N.: Intelligent system based on speech recognition with capability of self-learning. Int. J. Technol. Res. Eng. ISSN (2014)
Herzig, A., Lang, J., Marquis, P.: Action representation and partially observable planning using epistemic logic. In: IJCAI International Joint Conference on Artificial Intelligence (2003)
Mezzadra, S., Neilson, B.: Between inclusion and exclusion: on the topology of global space and borders. Theory Cult. Soc. (2012). https://doi.org/10.1177/0263276412443569
Copeland, B.J., Proudfoot, D.: Alan Turing’s forgotten ideas in computer science. Sci. Am. (1999). https://doi.org/10.1038/scientificamerican0499-98
Berbaoui, B., Saba, D., Dehini, R., et al.: Optimal control of shunt active filter based on Permanent Magnet Synchronous Generator (PMSG) using ant colony optimization algorithm. In: Proceedings of the 7th International Conference on Software Engineering and New Technologies—ICSENT 2018. ACM Press, New York, NY, USA, pp. 1–8 (2018)
Barrow, L., Markman, L., Rouse, C.E.: Technology’s edge: the educational benefits of computer-aided instruction. Am. Econ. J. Econ. Policy (2009). https://doi.org/10.1257/pol.1.1.52
Gibson, K.R.: Evolution of human intelligence: the roles of brain size and mental construction. In: Brain, Behavior and Evolution (2002)
Minker, W., Bennacef, S.: Speech and human—machine dialog. Comput. Linguist (2005). https://doi.org/10.1162/0891201053630309
Bengler, K., Zimmermann, M., Bortot, D., et al.: Interaction principles for cooperative human-machine systems. It—Inf. Technol. https://doi.org/10.1524/itit.2012.0680
Rodríguez, R.M., Martínez, L.: An analysis of symbolic linguistic computing models in decision making. Int. J. General Syst. (2013)
Chomsky, N.: Language and Mind, 3rd edn.
Mantiri, F.: Multimedia and technology in learning. Univers. J. Educ. Res. (2014). https://doi.org/10.13189/ujer.2014.020901
Miranda, S., Ritrovato, P.: Automatic extraction of metadata from learning objects. In: Proceedings—2014 International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2014 (2014)
O’Leary, D.E.: Artificial intelligence and big data. IEEE Intell. Syst. (2013). https://doi.org/10.1109/MIS.2013.39
Gutiérrez-Maldonado, J., Alsina-Jurnet, I., Rangel-Gómez, M.V., et al.: Virtual intelligent agents to train abilities of diagnosis in psychology and psychiatry. Stud. Comput. Intell. (2008). https://doi.org/10.1007/978-3-540-68127-4_51
Appan, K.P., Sivaswamy, J.: Retinal image synthesis for CAD development. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2018)
Saba, D., Sahli, Y., Berbaoui, B., Maouedj, R.: Towards smart cities: challenges, components, and architectures. In: HassanienRoheet, A.E., BhatnagarNour E.M., KhalifaMohamed H.N.T. (eds.), Studies in Computational Intelligence: Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications, pp. 249–286. Springer, Cham (2020)
Cyril Jose, A., Malekian, R.: Smart home automation security: a literature review. Smart Comput. Rev. (2015). https://doi.org/10.6029/smartcr.2015.04.004
Alam, M.R., Reaz, M.B.I., Ali, M.A.M.: A review of smart homes—past, present, and future. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. (2012). https://doi.org/10.1109/TSMCC.2012.2189204
Jones, R.M., Laird, J.E., Nielsen, P.E., et al.: Pilots for Combat Flight Simulation. AI Mag (1999). https://doi.org/10.1609/aimag.v20i1.1438
Gallagher, S.: AI bests Air Force combat tactics experts in simulated dogfights | Ars Technica (2016). https://arstechnica.com/information-technology/2016/06/ai-bests-air-force-combat-tactics-experts-in-simulated-dogfights/. Accessed 13 Jan 2020
Jones, R.M., Laird, J.E., Nielsen, P.E., et al.: Automated intelligent pilots for combat flight simulation. AI Mag. (1999)
Adapa, S.: Indian smart cities and cleaner production initiatives—integrated framework and recommendations. J. Clean. Prod. (2018). https://doi.org/10.1016/j.jclepro.2017.11.250
Ligeza, A.: Artificial intelligence: a modern approach. Neurocomputing (1995). https://doi.org/10.1016/0925-2312(95)90020-9
Zoph, B., Vasudevan, V., Shlens, J., Le, Q.V.: NASNet. Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recogn. (2018). https://doi.org/10.1109/CVPR.2018.00907
Farr, M.J., Psotka, J.: Intelligent Instruction by Computer : Theory and Practice
Horvitz, E.: One Hundred Year Study on Artificial Intelligence. Stanford University (2016)
Treleaven, P., Galas, M., Lalchand, V.: Algorithmic trading review. Commun. ACM (2013)
Greenwood, J.: Why BlackRock is investing in digital—the platforum. Corp Advis (Online Ed) (2016)
Crosman, P.: Beyond robo-advisers: how AI could rewire wealth management | American Banker. In: American Banker (2017). https://www.americanbanker.com/news/beyond-robo-advisers-how-ai-could-rewire-wealth-management. Accessed 14 Jan 2020
Antoine, G.: Kensho’s AI for investors just got valued at over $500 million in funding round from wall street. In: Forbes.com (2017). https://www.forbes.com/sites/antoinegara/2017/02/28/kensho-sp-500-million-valuation-jpmorgan-morgan-stanley/#2598a9305cbf. Accessed 14 Jan 2020
ERIC, R.: The 8 best AI Chatbot apps of 2020. In: Thebalancesmb (2019). https://www.thebalancesmb.com/best-ai-chatbot-apps-4583959. Accessed 14 Jan 2020
Gofer, E.: Machine Learning Algorithms with Applications in Finance. Thesis (2014)
Obermeyer, Z., Emanuel, E.J.: Predicting the future-big data, machine learning, and clinical medicine. New Engl. J. Med. (2016)
AM, E.: ZestFinance introduces machine learning platform to underwrite millennials and other consumers with limited credit history | Business wire. In: Business wire (2017). https://www.businesswire.com/news/home/20170214005357/en/ZestFinance-Introduces-Machine-Learning-Platform-Underwrite-Millennials. Accessed 14 Jan 2020
World Robotics Organization: Executive Summary—World Robotics (Industrial {&} Service Robots) 2014. World Robot Rep (2014)
Adhikary, T., Jana, A.D., Chakrabarty, A., Jana, S.K.: The Internet of Things (IoT) Augmentation in healthcare: an application analytics. In: ICICCT 2019—System Reliability, Quality Control, Safety, Maintenance and Management (2020)
Yin, Y., Zeng, Y., Chen, X., Fan, Y.: The internet of things in healthcare: an overview. J. Ind. Inf., Integr (2016)
Kiah, M.L.M., Haiqi, A., Zaidan, B.B., Zaidan, A.A.: Open source EMR software: profiling, insights and hands-on analysis. Comput. Methods Programs Biomed. (2014). https://doi.org/10.1016/j.cmpb.2014.07.002
Sukhodolov, A.P., Bychkova, A.M.: Artificial intelligence in crime counteraction, prediction, prevention and evolution. Russ. J. Criminol. (2018). https://doi.org/10.17150/2500-4255.2018.12(6).753-766
Rigano, C.: Using Artificial Intelligence to Address Criminal Justice Needs (NIJ Journal 280) (2019)
Škrlec, B.: Eurojust and External Dimension of EU Judicial Cooperation. Eucrim—Eur Crim Law Assoc Forum (2019). https://doi.org/10.30709/eucrim-2019-018
Milakis, D., Snelder, M., Van Arem, B., et al.: Development and transport implications of automated vehicles in the Netherlands: scenarios for 2030 and 2050. Eur. J. Transp. Infrastruct. Res. (2017). https://doi.org/10.18757/ejtir.2017.17.1.3180
Andrea, M.: Some of the companies that are working on driverless car technology—ABC News (2018). https://abcnews.go.com/US/companies-working-driverless-car-technology/story?id=53872985
Richtel, M., Dougherty, C.: Google’s Driverless Cars Run Into Problem: Cars With Drivers—The New York Times. New York Times (2015)
Guerrero-Ibáñez, J., Zeadally, S., Contreras-Castillo, J.: Sensor technologies for intelligent transportation systems. Sensors (Basel) 18 (2018). https://doi.org/10.3390/s18041212
Dadgosari, F., Guim, M., Beling, P.A., et al.: (2020) Modeling law search as prediction. Artif. Intell. Law 1–32. https://doi.org/10.1007/s10506-020-09261-5
Walker-Osborn, C.: Artificial intelligence automation and the law. ITNOW (2018). https://doi.org/10.1093/itnow/bwy020
Alarie, B., Niblett, A., Yoon, A.H.: How artificial intelligence will affect the practice of law. Univ. Tor. Law J. (2018)
Tambe, P., Cappelli, P., Yakubovich, V.: Artificial intelligence in human resources management: challenges and a path forward. Calif. Manag. Rev. (2019). https://doi.org/10.1177/0008125619867910
Radevski, V., Trichet, F.: Ontology-based systems dedicated to human resources management: an application in e-recruitment. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2006)
Upadhyay, A.K., Khandelwal, K.: Applying artificial intelligence: implications for recruitment. Strateg. HR Rev. (2018). https://doi.org/10.1108/shr-07-2018-0051
Raviprolu A (2017) Role of Artificial Intelligence in Recruitment. Int J Eng Technol
Sophie, C.: Intelligence artificielle (IA) dans les médias: beaucoup de fantasmes (2019). https://www.samsa.fr/2019/12/02/intelligence-artificielle-ia-dans-les-medias-beaucoup-de-fantasmes-quelques-realites-et-pas-mal-de-questions/. Accessed 7 Feb 2020
Muangprathub, J., Boonnam, N., Kajornkasirat, S., et al.: IoT and agriculture data analysis for smart farm. Comput. Electron. Agric. 156, 467–474 (2019). https://doi.org/10.1016/J.COMPAG.2018.12.011
FT: Smart agriculture based on cloud computing and IOT. J. Converg. Inf. Technol. (2013). https://doi.org/10.4156/jcit.vol8.issue2.26
Lopez-Rincon, O., Starostenko, O., Martin, G.A.S.: Algoritmic music composition based on artificial intelligence: A survey. In: 2018 28th International Conference on Electronics, Communications and Computers, CONIELECOMP 2018 (2018)
Cope, D.: Algorithmic music composition. In: Patterns of Intuition: Musical Creativity in the Light of Algorithmic Composition (2015)
Norton, D., Heath, D., Ventura, D.: Finding creativity in an artificial artist. J. Creat. Behav. (2013). https://doi.org/10.1002/jocb.27
Smaill, A.: Music and Artificial Intelligence (2002)
Kamhi, G., Novakovsky, A., Tiemeyer, A., Wolffberg, A.: Magenta (2009)
Brian, S.: Narrative science, the automated journalism startup—technology and operations management. In: HBS Digital Initiaitve (2018). https://digital.hbs.edu/platform-rctom/submission/narrative-science-the-automated-journalism-startup/. Accessed 23 Jan 2020
Brian, S.: Automated Insights: Natural Language Generation (2020). https://automatedinsights.com/. Accessed 23 Jan 2020
Spreitzer, G.M., Garrett, L.E., Bacevice, P.: Should your company embrace coworking? MIT Sloan Manag. Rev. (2015)
Echobox: Echobox—Social Media for Publishers (2020). www.echobox.com. https://www.echobox.com/. Accessed 23 Jan 2020
Yseop: Advanced Natural Language Generation (NLG) AI automation | Yseop (2020). www.yseop.com. https://www.yseop.com/. Accessed 23 Jan 2020
Boomtrain Software: Boomtrain Software—2020 reviews, pricing & demo. In: Boomtrain Software (2020). https://www.softwareadvice.com/marketing/boomtrain-profile/. Accessed 23 Jan 2020
D’Alfonso, S., Santesteban-Echarri, O., Rice, S., et al.: Artificial intelligence-assisted online social therapy for youth mental health. Front Psychol. (2017). https://doi.org/10.3389/fpsyg.2017.00796
Digitalgenius: DigitalGenius | Customer Service Automation Platform (2020). www.digitalgenius.com, https://www.digitalgenius.com/. Accessed 23 Jan 2020
Ipsoft: IPsoft Inc., Global Leader in AI and Cognitive Tech Systems (2020). https://www.ipsoft.com/. https://www.ipsoft.com/. Accessed 23 Jan 2020
Bloomberg: Inbenta Technologies Inc.: Private Company Information—Bloomberg. In: Bloomberg (2019)
Raza, M.Q., Khosravi, A.: A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings. Renew. Sustain., Energy Rev (2015)
Gartner: The Road to Enterprise AI (2017)
Kambatla, K., Kollias, G., Kumar, V., Grama, A.: Trends in big data analytics. J. Parallel Distrib. Comput. (2014). https://doi.org/10.1016/j.jpdc.2014.01.003
Safadi, F., Fonteneau, R., Ernst, D.: Artificial intelligence in video games: towards a unified framework. Int. J. Comput. Games Technol. (2015). https://doi.org/10.1155/2015/271296
Frutos-Pascual, M., Zapirain, B.G.: Review of the use of AI techniques in serious games: decision making and machine learning. IEEE Trans. Comput. Intell. AI Games (2017)
Frutos-Pascual, M.: Les robots deviennent-ils plus intelligents que les humains ?—Maddyness—Le Magazine des Startups Françaises (2019). https://www.maddyness.com/2019/10/18/maddyfeed-robots-plus-intelligents-humains/. Accessed 7 Feb 2020
Anderson, J.R., Law, E.H.: Fuzzy logic approach to vehicle stability control of oversteer. SAE Int. J. Passeng. Cars—Mech. Syst. (2011). https://doi.org/10.4271/2011-01-0268
Abduljabbar, R., Dia, H., Liyanage, S., Bagloee, S.A.: Applications of artificial intelligence in transport: an overview. Sustain (2019)
Saba, D., Laallam, F.Z., Belmili, H., Berbaoui, B.: Contribution of renewable energy hybrid system control based of multi agent system coordination. In: Souk Ahres University (ed.) Symposium on Complex Systems and Intelligent Computing (CompSIC). Souk Ahres University, Souk Ahres (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Appendix
Appendix
This section is dedicated to presenting the terms which are mainly related to the technology of AI (see Table 2).
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Saba, D., Sahli, Y., Maouedj, R., Hadidi, A., Medjahed, M.B. (2021). Towards Artificial Intelligence: Concepts, Applications, and Innovations. In: Hassanien, AE., Taha, M.H.N., Khalifa, N.E.M. (eds) Enabling AI Applications in Data Science. Studies in Computational Intelligence, vol 911. Springer, Cham. https://doi.org/10.1007/978-3-030-52067-0_6
Download citation
DOI: https://doi.org/10.1007/978-3-030-52067-0_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-52066-3
Online ISBN: 978-3-030-52067-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)