6169_Phuong_Nam_Huynh_Assignment_part_1_109306_2011263946.docx

While machine learning can help humans brain to be

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2003). While machine learning can help human’s brain to be stronger because it can help them in lifting of calculations, the dull stuff of reconciliations and the tedious work of verifying information. However, it does not catch human insights, and AI can solve this problem because the meaning of AI is computer learning and applying human insights (O’Neil & Eleanor, 2016). Moreover, by using AI, the accountants will have more opportunities to solve the problems during work and they will still be the final decisions makers. Also, AI is having
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an important role in business today because it can help human to be more proficient and more productive (O’Neil & Eleanor, 2016). Especially, AI can help human to interact with a big number of customer and handling with any client’s issues because it can provide more value through human insight instead of calculating data for a long time. e. The keywords of using for relevant information In this research for new technology, there are many keywords mention, which relevant to the information such as artificial intelligence (AI), approach new technology, businesses involve, proficient, calculating data and so on. Question 2: Bertini, M., Del Bimbo, A & Torniai, C, (2006). "Automatic annotation and semantic retrieval of video sequences using multimedia ontologies". MM ‘06 Proceedings of the 14th ACM international conference on Multimedia . 14th ACM international conference on Multimedia. Santa Barbara: ACM. pp. 679–682 Clark, H & Jack, M, (2015). "Why 2015 Was a Breakthrough Year in Artificial Intelligence" . The Bloomberg News . Archived from the original on 23 November 2016. Retrieved 23 November 2016. Gallagher, T & James, C. (2017) . "Artificial intelligence 'as good as cancer doctors'" . The BBC News. Archived from the original on 26 January 2017. Retrieved 26 January 2017 Holley & Peter (2015). "Bill Gates on dangers of artificial intelligence: 'I don't understand why some people are not concerned'" . The Washington Post . Archived from the original on 30 October 2015. Retrieved 30 October 2015 Hernandez-Orallo, J & Dowe, D. L. (2010). "Measuring Universal Intelligence: Towards an Anytime Intelligence Test". Artificial Intelligence Journal Lohr, W & Steve, J. (2016). "The Promise of Artificial Intelligence Unfolds in Small Steps" . The New York Times . Archived from the original on 29 February 2016.
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