Automotive, N. V. I. D. I. A. Autonomous cars: no longer just science fiction By: Esther Francis.
different perspectives...
Brynjolfsson, E., Rock, D., & Syverson, C. (2017). Artificial intelligence and the modern productivity paradox: A clash of expectations and statistics (No. w24001). National Bureau of Economic Research.
The use cases for explainable AI have ballooned in recent years. Machine learning algorithms are taking the central stage in the digitization of industrial/business processes.
There has been a use of Machine learning since centuries, but the main difference is recently it is digitized algorithms/methods in comparison to previous manual machine learning algorithms.
There are still hundreds of thousand of mathematical formulations that still need to be implement via computer coding/capitalization for practical applications, but it need computers that may millions time faster than the current fastest computers. AI cannot be mature to its ending limit within next million years.... it will grow, progress and upgrade in its further evolution steps , but will never stop/end....it is an ocean of applications via ruing mathematical models over digital fuels.
Artificial Intelligence and its application to water resources …
Afan, H. A., El-shafie, A., Mohtar, W. H. M. W., & Yaseen, Z. M. (2016). Past, present and prospect of an Artificial Intelligence (AI) based model for sediment transport prediction. Journal of Hydrology, 541, 902-913.
in recent past AI planners are capable of solving more real world problems ...
Arshad, N. (2004, September). Automated dynamic reconfiguration using AI planning. In Proceedings. 19th International Conference on Automated Software Engineering, 2004. (pp. 402-405). IEEE.
Scharffe, F., Liu, Y., & Zhou, C. (2009, July). Rdf-ai: an architecture for rdf datasets matching, fusion and interlink. In Proc. IJCAI 2009 workshop on Identity, reference, and knowledge representation (IR-KR), Pasadena (CA US).
electron transfer in proteins are treated using an artificial intelligence (AI) approach
Siddarth, P., & Marcus, R. A. (1993). Electron-transfer reactions in proteins: an artificial intelligence approach to electronic coupling. The Journal of Physical Chemistry, 97(10), 2400-2405. ....
provided a brief survey of AI methods used in a variety of IDSs …
Frank, J. (1994, October). Artificial intelligence and intrusion detection: Current and future directions. In Proceedings of the 17th national computer security conference (Vol. 10, pp. 1-12).
The use of artificial intelligence (AI), as advocated in Keen's third point, is being replaced with intelligent systems ...
Shim, J. P., Warkentin, M., Courtney, J. F., Power, D. J., Sharda, R., & Carlsson, C. (2002). Past, present, and future of decision support technology. Decision support systems, 33(2), 111-126.
This paper provides a survey of AI techniques applied to prognostics …
Schwabacher, M., & Goebel, K. (2007, November). A Survey of Artificial Intelligence for Prognostics. In AAAI Fall Symposium: Artificial Intelligence for Prognostics (pp. 108-115).
Detecting insider threats in a real corporate database of computer usage activity...
Veeramachaneni, K., Arnaldo, I., Korrapati, V., Bassias, C., & Li, K. (2016, April). AI^ 2: training a big data machine to defend. In 2016 IEEE 2nd International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing (HPSC), and IEEE International Conference on Intelligent Data and Security (IDS) (pp. 49-54). IEEE.
complex patterns have more and more been analyzed by artificial intelligence techniques developed by mathematicians and physical scien- tists dunng the past decades...
Vyborny, C. J., & Giger, M. L. (1994). Computer vision and artificial intelligence in mammography. AJR. American journal of roentgenology, 162(3), 699-708.
Imran, M., Castillo, C., Lucas, J., Meier, P., & Vieweg, S. (2014, April). AIDR: Artificial intelligence for disaster response. In Proceedings of the 23rd International Conference on World Wide Web (pp. 159-162).
Wall, D. P., Dally, R., Luyster, R., Jung, J. Y., & DeLuca, T. F. (2012). Use of artificial intelligence to shorten the behavioral diagnosis of autism. PloS one, 7(8).
In this paper authors survey the use of different AI methods for algorithmic composition...
Papadopoulos, G., & Wiggins, G. (1999, April). AI methods for algorithmic composition: A survey, a critical view and future prospects. In AISB Symposium on Musical Creativity (Vol. 124, pp. 110-117). Edinburgh, UK.
Johnson, M., Hofmann, K., Hutton, T., & Bignell, D. (2016, July). The Malmo Platform for Artificial Intelligence Experimentation. In IJCAI (pp. 4246-4247).
McCarthy, J. J., Minsky, M. L., & Rochester, N. (1959). Artificial intelligence. Research Laboratory of Electronics (RLE) at the Massachusetts Institute of Technology (MIT).