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      Can Building “Artificially Intelligent Cities” Safeguard Humanity from Natural Disasters, Pandemics, and Other Catastrophes? An Urban Scholar’s Perspective

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          Abstract

          In recent years, artificial intelligence (AI) has started to manifest itself at an unprecedented pace. With highly sophisticated capabilities, AI has the potential to dramatically change our cities and societies. Despite its growing importance, the urban and social implications of AI are still an understudied area. In order to contribute to the ongoing efforts to address this research gap, this paper introduces the notion of an artificially intelligent city as the potential successor of the popular smart city brand—where the smartness of a city has come to be strongly associated with the use of viable technological solutions, including AI. The study explores whether building artificially intelligent cities can safeguard humanity from natural disasters, pandemics, and other catastrophes. All of the statements in this viewpoint are based on a thorough review of the current status of AI literature, research, developments, trends, and applications. This paper generates insights and identifies prospective research questions by charting the evolution of AI and the potential impacts of the systematic adoption of AI in cities and societies. The generated insights inform urban policymakers, managers, and planners on how to ensure the correct uptake of AI in our cities, and the identified critical questions offer scholars directions for prospective research and development.

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          Artificial Intelligence (AI) applications for COVID-19 pandemic

          Background and aims Healthcare delivery requires the support of new technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big Data and Machine Learning to fight and look ahead against the new diseases. We aim to review the role of AI as a decisive technology to analyze, prepare us for prevention and fight with COVID-19 (Coronavirus) and other pandemics. Methods The rapid review of the literature is done on the database of Pubmed, Scopus and Google Scholar using the keyword of COVID-19 or Coronavirus and Artificial Intelligence or AI. Collected the latest information regarding AI for COVID-19, then analyzed the same to identify its possible application for this disease. Results We have identified seven significant applications of AI for COVID-19 pandemic. This technology plays an important role to detect the cluster of cases and to predict where this virus will affect in future by collecting and analyzing all previous data. Conclusions Healthcare organizations are in an urgent need for decision-making technologies to handle this virus and help them in getting proper suggestions in real-time to avoid its spread. AI works in a proficient way to mimic like human intelligence. It may also play a vital role in understanding and suggesting the development of a vaccine for COVID-19. This result-driven technology is used for proper screening, analyzing, prediction and tracking of current patients and likely future patients. The significant applications are applied to tracks data of confirmed, recovered and death cases.
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            The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms

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              An Information Framework for Creating a Smart City Through Internet of Things

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                25 May 2020
                May 2020
                : 20
                : 10
                : 2988
                Affiliations
                [1 ]School of Built Environment, Queensland University of Technology, 2 George Street, Brisbane, QLD 4000, Australia; luke.butler@ 123456hdr.qut.edu.au (L.B.); emily.windle@ 123456connect.qut.edu.au (E.W.)
                [2 ]QUT Business School, Queensland University of Technology, 2 George Street, Brisbane, QLD 4000, Australia; kevin.desouza@ 123456qut.edu.au
                [3 ]High Performance Computing Center, King Abdulaziz University, Al Ehtifalat St, Jeddah 21589, Saudi Arabia; rmehmood@ 123456kau.edu.sa
                [4 ]Bisite Research Group, University of Salamanca, 37007 Salamanca, Spain; corchado@ 123456usal.es
                [5 ]Air Institute, IoT Digital Innovation Hub, 37188 Salamanca, Spain
                [6 ]Department of Electronics, Information and Communication, Faculty of Engineering, Osaka Institute of Technology, Osaka 535-8585, Japan
                [7 ]Pusat Komputeran dan Informatik, Universiti Malaysia Kelantan, Kelantan 16100, Malaysia
                Author notes
                [* ]Correspondence: tan.yigitcanlar@ 123456qut.edu.au ; Tel.: +61-7-3138-2418
                Author information
                https://orcid.org/0000-0001-7262-7118
                https://orcid.org/0000-0003-0708-8896
                https://orcid.org/0000-0002-4997-5322
                https://orcid.org/0000-0002-2829-1829
                Article
                sensors-20-02988
                10.3390/s20102988
                7287769
                32466175
                4ed311d4-bf2f-40f4-871c-49484b3f1d89
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 28 April 2020
                : 22 May 2020
                Categories
                Viewpoint

                Biomedical engineering
                artificial intelligence (ai),artificially intelligent city,artificially intelligence commons,smart city,smart urban technology,urban informatics,sustainable urban development,climate change,pandemics,natural disasters

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