Real World of Artificial Intelligence - A Review
Keywords:Artificial Intelligence, Knowledge based Systems, Robotics
Artificial Intelligence is the combination of machine and human intelligence, which are in research trends from the last many years. Different Artificial Intelligence programs have become capable of challenging humans by providing Expert Systems, Neural Networks, Robotics, Natural Language Processing, Face Recognition and Speech Recognition. Artificial Intelligence brings a bright future for different technical inventions in various fields. This review paper shows the general concept of Artificial Intelligence and presents an impact of Artificial Intelligence in the present and future world.
Anand, S., Sinha, A., Tiwari, U., & Ray, S. (2014). Artificial Intelligence – Literature Review. The Centre for Internet and Society, India.
Autor, D.H. (2019). Work of the past, work of the future. AEA Papers and Proceedings, 109, 1-32. https://doi.org/10.1257/pandp.20191110
Bench-Capon, T.J.M., & Dunne, P.E. (2007). Argumentation in artificial intelligence. Artificial Intelligence, 171(10-15), 619-641. https://doi.org/10.1016/j.artint.2007.05.001
Borden, M.A. (1998). Can Machine Paint? 5th SGEM International Multidisciplinary Scientific Conferences on Social Sciences and Arts SGEM 2018, At Florence, Italy.
Breazeal, C., Gray, J., & Berlin, M. (2009). An embodied cognition approach to mindreading skills for socially intelligent robots. International Journal of Robotics Research, 28(5), 656-680. https://doi.org/10.1177/0278364909102796
Brockman, G. (2016). The Dawn of Artificial Intelligence. Testimony before U.S. Senate Subcommittee on Space, Science, and Competitiveness.
Brunette, E.S., Flemmer, R.C., & Flemmer, C.L. (2009). A Review of artificial Intelligence. 4th International Conference on Autonomous Robots and Agents. ICARA 2009, 10-12 February, Wellington, New Zealand. https://doi.org/10.1109/ICARA.2000.4804025
Clodic, A., Alami, R., & Chatila, R. (2014). Key elements for human-robot joint action. In Seibt, J., Hakli, R., & Nørskov, M. (Eds.), Frontiers in Artificial Intelligence and Applications. IOS Press. https://doi.org/10.3233/978-1-61499-480-0-23
De Felice, F., Petrillo, A., & Zomparelli, F. (2018). Prospective design of smart manufacturing: An Italian pilot case study. Manufacturing Letters, 15(Part B), 81–85. https://doi.org/10.1016/j.mfglet.2017.12.002
Ferrein, A., & Meyer, T. (2012). A Brief Overview of Artificial Intelligence in South Africa. AI Magazine, 33(1), 99-103. https://doi.org/10.1609/aimag.v33i1.2357
Geortjel, B. (2007). Human-level artificial general intelligence and the possibility of a technological singularity: A reaction to Ray Kurzweil's The Singularity Is Near, and McDermott's critique of Kurzweil. Artificial Intelligence, 171(18), 1161–1173. https://doi.org/10.1016/j.artint.2007.10.011
Gupta, N. (2017). A Literature Survey on Artificial Intelligence. International Journal of Engineering Research & Technology (IJERT). 5(19), 1-5.
Hardt, S.L., & Rapaport, W.J. (1986). Recent and Current Artificial Intelligence. AI Magazine, 7(2), 91. https://doi.org/10.1609/aimag.v7i2.543
Indrasen, P. (2017). How Artificial Intelligence in Impacting Real Life Every day. International Journal of Advance Research and Development, 2(10), 96-100.
Joolen, V.V. (2020). Artificial Intelligence and Robotics on the Battlefields of 2020. Strategy Research Project, USAWC class of 2020.
Khosrowshahi, A. (2018). Testimony before the House Committee on Oversight and Government Reform Subcommittee on Information Technology.
Kowalski, R. (2011). Artificial Intelligence and Human Thinking. 22nd International Joint Conference on Artificial Intelligence (pp.11-16). AAAI Press. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-013
Kurose, J. (2018). Testimony before the House Committee on Oversight and Government Reform Subcommittee on Information Technology.
Lemaignan, S., Warnier, M., Sisbot, E.A., Clodic, A., & Alami, R. (2017). Artificial Cognition for Social Human-Robot Interaction: An Implementation. Artificial Intelligence, 247, 45-69. https://doi.org/10.1016/j.artint.2016.07.002
Linde, H. (2019). A White Paper on the Future of Artificial Intelligence. White Paper, 1-10. https://doi.org/10.13140/RG.2.2.32564.19844
Mahind, R., & Patil, A. (2017). A Review Paper on General Concepts of Artificial Intelligence and Machine Learning. International Advanced Research Journal in Science, Engineering and Technology, 4(4), 79-82. https://doi.org/10.17148/IARJSET/NCIARCSE.2017.22
Mok, R.M., & Love, B.C. (2019). A non-spatial account of place and grid cells based on clustering models of concept learning. Nature Communications, 10, 5685. https://doi.org/10.1038/s41467-019-13760-8
Oke, S.A. (2008). Profitability. International Journal of Information and Management Science, 2(1), 133-136.
Oroszi, F., & Ruhland, J. (2010). An Early Warning System for Hospital Acquired Pneumonia. ECIS 2010 Proceedings, 93.
Patil, A., Patted, L., Tenagi, M., Jahagirdar, V., Patil, M., & Gautam, R. (2017). Artificial Intelligence as a tool in Civil Engineering. IOSR Journal of Computer Engineering (IOSR-JCE), 7(1), 36-39.
Perez, J.A., Fani, D., Daniele, R., & Guang-Zhong, Y. (2017, June). Artificial Intelligence and Robotics. Retrieved from https://arxiv.org/ftp/arxiv/papers/1803/1803.10813.pdf
Pérez-Ortiz, M., Jimenez-Fernandez, S., Gutierrez, P.A., Alexander, E., Hervás-Martínez, C., & Salcedo-Sanz, S. (2016). A Review of Classification Problems and Algorithms in Renewable Energy Applications. Energies, 9(8), 607. https://doi.org/10.3390/en9080607
Reilly, R. (1995). Sandy Ideas and Coloured Days: Some Computational Implications of Embodiment. Artificial Intelligence Review, 9, 305–322. https://doi.org/10.1007/BF00849042
Renzi, C., Leali, F., Cavazzuti, M., & Andrisano, A. (2014). A review on artificial intelligence applications to the optimal design of dedicated and reconfigurable manufacturing systems. The International Journal of Advanced Manufacturing Technology, 72, 403–418. https://doi.org/10.1007/s00170-014-5674-1
Shabbir, J., & Anwer, T. (2015). Artificial Intelligence and its role in near future. Journal of Latex Class files. 14(8), 1-11.
Shoham, Y. (2019). Artificial Intelligence Index Report. Steering Committee, Stanford University. Retrieved from https://hai.stanford.edu/sites/default/files/ai_index_2019_report.pdf
Shutters, S.T., Muneepeerakul, R., & Lobo, J. (2016). How hard is it for urban economies to become green? Environment and Planning B: Planning and Design, 43(1), 198–209. https://doi.org/10.1177/0265813515600108
Strum, J., Stachniss, C., & Burgard, W. (2011). A Probabilistic Framework for Learning Kinematic Models of Articulated Objects. Journal of Artificial Intelligence Research, 41, 477-526.
Tang, Y. (2013). Deep learning using linear support vector machines. arXiv preprint arXiv: 1306.0239.