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  1. Artificial Intelligence: Today and For The Future

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  3. (PDF) A Review of Artificial Intelligence (AI) in Education during the

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  4. (PDF) Artificial Intelligence Applied to Project Success: A Literature

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  5. (PDF) The Application of Artificial Intelligence in Project Management

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  6. Artificial intelligence maturity model: a systematic literature review

    literature survey of artificial intelligence

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COMMENTS

  1. (PDF) A literature review on artificial intelligence

    Currently, there is a dire need for an article that presents a holistic literature survey of worldwide, theoretical frameworks and practical experiences in the field of artificial intelligence.

  2. A Literature Review of Artificial Intelligence

    1956, Joh n McCarthy came up with. the term to define a new computer. science field that aims to make. machines act like human beings. A Literature Review of Artificial Intelligence. Agha Wafa ...

  3. A systematic literature review on the impact of artificial intelligence

    While the literature falls short of substantial empirical evidence on the impact of artificial intelligence on the workplace (Rossini, Costa, Tortorella, & Portioli-Staudacher, 2019), it is widely acknowledged that the use of intelligent machines will bring a radical change in the way organizations function and tasks are executed (Hecklau et al ...

  4. Artificial intelligence and the conduct of literature reviews

    Artificial intelligence (AI) is beginning to transform traditional research practices in many areas. In this context, literature reviews stand out because they operate on large and rapidly growing volumes of documents, that is, partially structured (meta)data, and pervade almost every type of paper published in information systems research or related social science disciplines.

  5. A literature review of Artificial Intelligence applications in railway

    1. Introduction. Artificial Intelligence (AI) is defined as a computerized system that is able to perform physical tasks and cognitive functions, solve various problems, or make decisions without explicit human instructions ( Kaplan and Haenlein, 2019 ). Nowadays, AI has become one of the most important areas of research in almost all fields in ...

  6. Artificial intelligence for cybersecurity: Literature review and future

    Artificial intelligence (AI) is a powerful technology that helps cybersecurity teams automate repetitive tasks, accelerate threat detection and response, and improve the accuracy of their actions to strengthen the security posture against various security issues and cyberattacks.

  7. A systematic literature review of artificial intelligence in the

    Applying the rules and guidelines of systematic reviews is crucial for researchers who undertake this approach (Kitchenham and Charters, 2007).Commencing the review process using a protocol to identify, select, and assess the relevant literature will make the systematic review highly efficient (Tranfield et al., 2003).The systematic process should be reproducible, objective, transparent ...

  8. Artificial Intelligence and Business Value: a Literature Review

    Artificial Intelligence (AI) are a wide-ranging set of technologies that promise several advantages for organizations in terms off added business value. Over the past few years, organizations are increasingly turning to AI in order to gain business value following a deluge of data and a strong increase in computational capacity. Nevertheless, organizations are still struggling to adopt and ...

  9. How AI technology can tame the scientific literature

    Luckily, they had help: a literature-exploration tool powered by artificial intelligence (AI), called Iris.ai. Using a 300-to-500-word description of a researcher's problem, or the URL of an ...

  10. A Systematic Literature Review on Artificial Intelligence and ...

    Quality assurance (QA) plays a crucial role in manufacturing to ensure that products meet their specifications. However, manual QA processes are costly and time-consuming, thereby making artificial intelligence (AI) an attractive solution for automation and expert support. In particular, convolutional neural networks (CNNs) have gained a lot of interest in visual inspection. Next to AI methods ...

  11. Explainable artificial intelligence for cybersecurity: a literature survey

    With the extensive application of deep learning (DL) algorithms in recent years, e.g., for detecting Android malware or vulnerable source code, artificial intelligence (AI) and machine learning (ML) are increasingly becoming essential in the development of cybersecurity solutions. However, sharing the same fundamental limitation with other DL application domains, such as computer vision (CV ...

  12. Artificial intelligence in disease diagnosis: a systematic literature

    Artificial intelligence can assist providers in a variety of patient care and intelligent health systems. Artificial intelligence techniques ranging from machine learning to deep learning are prevalent in healthcare for disease diagnosis, drug discovery, and patient risk identification. Numerous medical data sources are required to perfectly diagnose diseases using artificial intelligence ...

  13. Artificial intelligence techniques in finance and financial markets: A

    Artificial intelligence techniques in finance and financial markets: A survey of the literature. Carlo Milana, Corresponding Author. Carlo Milana [email protected] Birkbeck College, University of London, London, UK. ... Both academic and nonacademic literature is evolving following the oscillating development of artificial intelligence (AI) and ...

  14. (PDF) A Literature Survey of Recent Advances in Chatbots

    Chatbots utilize methods and algorithms from two Artificial Intelligence domains: Natural Language Processing and Machine Learning. However, there are many challenges and limitations in their ...

  15. A Survey of Artificial Intelligence Challenges: Analyzing the ...

    In recent years, artificial intelligence has had a tremendous impact on every field, and several definitions of its different types have been provided. In the literature, most articles focus on the extraordinary capabilities of artificial intelligence. Recently, some challenges such as security, safety, fairness, robustness, and energy consumption have been reported during the development of ...

  16. A Literature Survey of Recent Advances in Chatbots

    Chatbots are intelligent conversational computer systems designed to mimic human conversation to enable automated online guidance and support. The increased benefits of chatbots led to their wide adoption by many industries in order to provide virtual assistance to customers. Chatbots utilise methods and algorithms from two Artificial Intelligence domains: Natural Language Processing and ...

  17. A Literature Survey on Artificial Intelligence

    A Literature Survey on Artificial Intelligence. Abstract There is an endless exciting new research in the field of Artificial Intelligence; this review is far from a global summary of the progress made in the last decade. There also scores of fields within AI. Much of the research covered in this review could be applicable to developing strong AI.

  18. Artificial intelligence and the conduct of literature reviews

    Artificial intelligence (AI) is beginning to transform traditional research practices in many areas. In this context, literature reviews stand out because they operate on large and rapidly growing volumes of documents, that is, partially structured (meta)data, and pervade almost every type of paper published in information systems research or related social science disciplines.

  19. Minding the Gap: Tools for Trust Engineering of Artificial Intelligence

    There is growing consensus and appreciation for the importance of trust in the development of Artificial Intelligence (AI) technologies; however, there is a reliance on principles-based frameworks. ... Iversen O. S. (2016). Evaluation in participatory design: A literature survey. Proceedings of the 14th Participatory Design Conference, 1, 151 ...

  20. A Literature Survey on Artificial Intelligence

    2019. TLDR. Literature review on ML and AI empirical studies published in the last century was carried out to highlight the evolution of the topic before and after Industry 4.0 introduction. Expand. 101. PDF. Semantic Scholar extracted view of "A Literature Survey on Artificial Intelligence" by Nishika Gupta.

  21. Teaching and learning artificial intelligence: Insights from the literature

    Artificial Intelligence (AI) has been around for nearly a century, yet in recent years the rapid advancement and public access to AI applications and algorithms have led to increased attention to the role of AI in higher education. An equally important but overlooked topic is the study of AI teaching and learning in higher education. We wish to examine the overview of the study, pedagogical ...

  22. Exploring the effects of AI literacy in teacher learning: an empirical

    As most practitioners (including teachers) do not know how AI functions and cannot make full use of AI in education, there is an urgent need to investigate teachers' intentions to learn AI and ...

  23. Artificial Intelligence in Agriculture: A Literature Survey

    Figure 1: Literature Review Process. The review of the literature review began with a search of major school databases (IEEE, Scopus and Science D irect) on. agriculture and its practices. The ...

  24. From Artificial Intelligence to Explainable Artificial Intelligence in

    Nowadays, Industry 4.0 can be considered a reality, a paradigm integrating modern technologies and innovations. Artificial intelligence (AI) can be considered the leading component of the industrial transformation enabling intelligent machines to execute tasks autonomously such as self-monitoring, interpretation, diagnosis, and analysis. AI-based methodologies (especially machine learning and ...

  25. Artificial intelligence innovation in healthcare: Literature review

    Artificial intelligence (AI) innovation in healthcare has emerged as an increasingly significant area of research. ... Determinants and barriers of artificial intelligence adoption - a literature review. ... Medical students' attitude towards artificial intelligence: a multicentre survey. Eur. Radiol., 29 (4) (2019), pp. 1640-1646, 10.1007 ...

  26. Assessing student-perceived impact of using artificial intelligence

    This study introduces a pioneering tool, a survey instrument, crafted to gauge the impact of Artificial Intelligence (AI) tools on the university educational experience. Through this instrument, which has been rigorously validated at a private university in Latin America, other institutions can now assess how their students and faculty are ...

  27. Ignoring the latest grim news on climate change won't make it go away

    Artificial Intelligence; Autos; Jobs, Labor & Workplace; ... the Guardian's survey results are sobering: Nearly 80% of the hundreds of scientists questioned say the planet will heat up by 2.5 ...

  28. Alcohol-Related Deaths of US Health Care Workers

    The 2008 American Community Survey (ACS) was a cross-sectional, nationally representative survey of approximately 2.9 million addresses with a 97.9% response rate. Data were linked to National Death Index records from 2008 to 2019. 5 After excluding unemployed individuals and those younger than 26 years, the cohort included 1 838 000 individuals.

  29. Artificial intelligence in industrial design: A semi-automated

    In order to prevent the above innovation failures which involved AI, the value of artificial intelligence (AI) in the era of industry 4.0 is explored in product innovation so as to analyse a wide range of data, such as customers, markets, and the economic environment, which can increase the likelihood of NPD success (Verganti et al., 2020).The concept of industry 4.0 was firstly introduced in ...