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4,993 results

101. Prevention of Diabetes Mellitus Through the Use of Mobile Technology (mHealth): Case Study

Author

Guerrero-Flores, M. Hazael, Luna-García, Huizilopoztli, Galván-Tejada, Carlos E., Gamboa-Rosales, Hamurabi, Celaya-Padilla, José M., Galván-Tejada, Jorge I., Mendoza-González, Alfredo, Alcala-Rmz, Vanessa, Valladares-Salgado, Adan, Cruz, Miguel, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Ruiz, Pablo H., editor, and Agredo-Delgado, Vanessa, editor

Published
2019
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102. Should Artificial Intelligence Be More Regulated? : Panel Discussion

Author

Strous, Leon, Rannenberg, Kai, Editor-in-Chief, Sakarovitch, Jacques, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Pras, Aiko, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Furbach, Ulrich, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Strous, Leon, editor, and Cerf, Vinton G., editor

Published
2019
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103. Cognifying Model-Driven Software Engineering

Author

Cabot, Jordi, Clarisó, Robert, Brambilla, Marco, Gérard, Sébastien, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Seidl, Martina, editor, and Zschaler, Steffen, editor

Published
2018
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104. IoT Platform for Real-Time Multichannel ECG Monitoring and Classification with Neural Networks

Author

Granados, Jose, Westerlund, Tomi, Zheng, Lirong, Zou, Zhuo, van der Aalst, Wil, Series Editor, Mylopoulos, John, Series Editor, Rosemann, Michael, Series Editor, Shaw, Michael J., Series Editor, Szyperski, Clemens, Series Editor, Tjoa, A Min, editor, Zheng, Li-Rong, editor, Zou, Zhuo, editor, Raffai, Maria, editor, Xu, Li Da, editor, and Novak, Niina Maarit, editor

Published
2018
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105. Unveiling Recent Trends in Biomedical Artificial Intelligence Research: Analysis of Top-Cited Papers.

Author

Glicksberg, Benjamin S. and Klang, Eyal

Subjects
ARTIFICIAL intelligence, PROTEIN structure prediction, TECHNOLOGICAL innovations, MEDICAL education, INDIVIDUALIZED medicine
Abstract

This review analyzes the most influential artificial intelligence (AI) studies in health and life sciences from the past three years, delineating the evolving role of AI in these fields. We identified and analyzed the top 50 cited articles on AI in biomedicine, revealing significant trends and thematic categorizations, including Drug Development, Real-World Clinical Implementation, and Ethical and Regulatory Aspects, among others. Our findings highlight a predominant focus on AIs application in clinical settings, particularly in diagnostics, telemedicine, and medical education, accelerated by the COVID-19 pandemic. The emergence of AlphaFold marked a pivotal moment in protein structure prediction, catalyzing a cascade of related research and signifying a broader shift towards AI-driven approaches in biological research. The review underscores AIs pivotal role in disease subtyping and patient stratification, facilitating a transition towards more personalized medicine strategies. Furthermore, it illustrates AIs impact on biology, particularly in parsing complex genomic and proteomic data, enhancing our capabilities to disentangle complex, interconnected molecular processes. As AI continues to permeate the health and life sciences, balancing its rapid technological advancements with ethical stewardship and regulatory vigilance will be crucial for its sustainable and effective integration into healthcare and research. [ABSTRACT FROM AUTHOR]

Published
2024
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108. Design of Selecting Security Solution Using Multi-objective Genetic Algorithm

Author

Lee, Yunghee, Jung, Jaehun, Ahn, Chang Wook, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Kotenko, Igor, Series editor, Liu, Ting, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Gong, Maoguo, editor, Pan, Linqiang, editor, Song, Tao, editor, and Zhang, Gexiang, editor

Published
2016
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109. Simile or Not Simile? : Automatic Detection of Metonymic Relations in Japanese Literal Comparisons

Author

Dybala, Pawel, Rzepka, Rafal, Araki, Kenji, Sayama, Kohichi, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Vetulani, Zygmunt, editor, Uszkoreit, Hans, editor, and Kubis, Marek, editor

Published
2016
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111. Does the Use of AI to Create Academic Research Papers Undermine Researcher Originality?

Author

Nakazawa, Eisuke, Udagawa, Makoto, and Akabayashi, Akira

Subjects
*ORIGINALITY, *UNIVERSITY research, *ACADEMIC discourse, *AUTHORSHIP
Abstract

Manuscript writing support services using AI technology have become increasingly available in recent years. In keeping with this trend, we need to sort out issues related to authorship in academic writing. Authorship is attached to the contribution of researchers who report innovative research, the originality of which forms the core of their identity. The most important originality is demonstrated in the discussion of study findings. In the discussion section of this paper, we argue that if a researcher uses AI-based manuscript writing support to draft the discussion section, this does not necessarily diminish the researcher's originality. Rather, AI support may allow the researcher to perform creative work in a more refined fashion. Presumably, selecting which AI support to use or evaluating and properly adjusting AI would still remain an important aspect of research for researchers. It is thus reasonable to view a researcher as a cooperative existence realized through a network of cooperative work that includes the use of AI. Discussions on this topic will be scientifically and socially important as AI technology advances in the future. [ABSTRACT FROM AUTHOR]

Published
2022
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112. Personalized and Adaptive Serious Games

Author

Streicher, Alexander, Smeddinck, Jan D., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Dörner, Ralf, editor, Göbel, Stefan, editor, Kickmeier-Rust, Michael, editor, Masuch, Maic, editor, and Zweig, Katharina, editor

Published
2016
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113. Gender Matters in Hospitality (invited paper for 'luminaries' special issue of International Journal of Hospitality Management).

Author

Morgan, Nigel and Pritchard, Annette

Subjects
GENDER role in the work environment, HOSPITALITY industry, HOSPITALITY industry personnel, WOMEN employees, FEMINISM, SEXUAL harassment, INCOME gap
Abstract

Abstract This article is a review paper, which examines the place of gender in hospitality research and education and discusses the significance of hospitality for women's employment and entrepreneurship opportunities. The paper's main purpose, however, is to speculate on the future of hospitality gender research and women's employment prospects in the industry. It suggests that, despite the emergence of gender perspectives in hospitality research and the recent rise of popular feminism in response to high-profile sexual harassment cases and a well-publicised gender pay gap, gender still does not occupy mainstream territory in the field. The paper stresses the continued missed opportunities of neglecting female talent and calls on female and male leaders to shape a gender-just future in hospitality study and practice by mentoring and holding hierarchies to account. The paper identifies AI and robotics and sexual exploitation and harassment as two areas in which hospitality gender scholars could lead scholarship and policy debates on gendered human experiences. [ABSTRACT FROM AUTHOR]

Published
2019
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116. SoHuman 2014 – 3rd International Workshop on Social Media in Crowdsourcing and Human Computation - Introduction : Theme: Socially-Aware Crowdsourcing – The Value of the Human Touch

Author

Novak, Jasminko, Bozzon, Alessandro, Fraternali, Piero, Daras, Petros, Chrons, Otto, Nardi, Bonnie, Jaimes, Alejandro, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Aiello, Luca Maria, editor, and McFarland, Daniel, editor

Published
2015
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122. Reinforcement Learning as Heuristic for Action-Rule Preferences

Author

Broekens, Joost, Hindriks, Koen, Wiggers, Pascal, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Collier, Rem, editor, Dix, Jürgen, editor, and Novák, Peter, editor

Published
2012
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123. Computer Music Cloud

Author

Alvaro, Jesús L., Barros, Beatriz, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Ystad, Sølvi, editor, Aramaki, Mitsuko, editor, Kronland-Martinet, Richard, editor, and Jensen, Kristoffer, editor

Published
2011
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124. Sentic Avatar: Multimodal Affective Conversational Agent with Common Sense

Author

Cambria, Erik, Hupont, Isabelle, Hussain, Amir, Cerezo, Eva, Baldassarri, Sandra, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Esposito, Anna, editor, Esposito, Antonietta M., editor, Martone, Raffaele, editor, Müller, Vincent C., editor, and Scarpetta, Gaetano, editor

Published
2011
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125. Interaction and Resistance: The Recognition of Intentions in New Human-Computer Interaction

Author

Müller, Vincent C., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Esposito, Anna, editor, Esposito, Antonietta M., editor, Martone, Raffaele, editor, Müller, Vincent C., editor, and Scarpetta, Gaetano, editor

Published
2011
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126. Introduction to the virtual collection of papers on Artificial neural networks: applications in X‐ray photon science and crystallography.

Author

Ekeberg, Tomas

Subjects
*ARTIFICIAL neural networks, *DEEP learning, *CRYSTALLOGRAPHY, *ARTIFICIAL intelligence, *MACHINE learning, *PHOTONS
Abstract

Artificial intelligence is more present than ever, both in our society in general and in science. At the center of this development has been the concept of deep learning, the use of artificial neural networks that are many layers deep and can often reproduce human‐like behavior much better than other machine‐learning techniques. The articles in this collection are some recent examples of its application for X‐ray photon science and crystallography that have been published in Journal of Applied Crystallography. [ABSTRACT FROM AUTHOR]

Published
2024
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127. Sentic Computing: Exploitation of Common Sense for the Development of Emotion-Sensitive Systems

Author

Cambria, Erik, Hussain, Amir, Havasi, Catherine, Eckl, Chris, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Esposito, Anna, editor, Campbell, Nick, editor, Vogel, Carl, editor, Hussain, Amir, editor, and Nijholt, Anton, editor

Published
2010
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131. CALL FOR PAPERS: Intelligent Healthcare Systems - FREE OF CHARGES

Author

Vania V. Estrela, Nikolaos Andreopoulos, Ricardo Tadeu Lopes, Joaquim Teixeira de Assis, Andrey Terziev, Robert Sroufer, Vania Vieira Estrela, V. V. Estrela, Albany E. Herrmann, Edwiges G. H. Grata, Maria Aparecida de Jesus, and Monica Vianna

Subjects
Health informatics, IoT, Ad hoc networks, Public health, Sensors, Wearables, Healthcare, Smart drugs, Health 4.0, Cyber-physical system, Telemedicine, Blockchain, Artificial Intelligence, AI, Cloud computing, Fog computing, Implants, ICT for Healthcare, Wireless networks, Biomedical engineering, Actuators
Abstract

CALL FOR BOOK CHAPTERS INTELLIGENT HEALTHCARE SYSTEMS Scopus-indexed, Free of charges, published by CRC Press/Taylor & Francis Keywords: Health 4.0, Internet of Medical Things, Public Health, Disaster Mitigation, Vehicular Communications, Wireless Networks, Wearables, Artificial Intelligence in Healthcare, Cyber-Physical Systems, Smart Designs, Blockchain, Digital Twins, Telemedicine, 5G, Medical Imaging, Cloud Computing. Editor: Vania V. Estrela vania.estrela.phd@ieee.org Federal Fluminense University, RJ, Brazil Book Content Description Information is paramount to the healthcare sector, entailing intense data, medical epidemiologic sets, Internet browsing records, surveys, complex engineering models, and so on via the Cloud. This quest for knowledge prompts the data dimensionality, which calls for more sophisticated and efficient information strategies. Health science and biology are very complex fields fully embedded in information technology, but the associated processes are much too intricate to be faithfully modeled. It is not easy to extract knowledge starting from raw data, and it is also expensive. Artificial intelligence (AI) in healthcare (AIH) has been the primary concern to develop expert systems aimed for diagnostic and decision-making in knowledge acquisition, representation, reasoning, and explanation. Many healthcare facilities (HFs) have data acquisition, monitoring, and storage systems integrated into larger-scale information systems. This vast amount of information and databases stemming from medical applications cause hinder analysis and decision making. Hence, there is a need to develop better tools for accessing/storing/analyzing knowledge while effectively using multimodal data. These necessities become essential in the healthcare realm as decision-making relies on knowledge from multidisciplinary areas. This book intends to provide computational methods for intelligent health data analysis to narrow the gap between data gathering and data comprehension with applications in medicine, health care, biology, pharmacology, and related areas. Intelligent Data Analysis (IDA) expedites healthcare analyses and applications. IDA employs specialized statistical, pattern recognition, machine learning (ML), data abstraction, and visualization tools for analysis of data and discovery of mechanisms that created them. Healthcare data typically involve many records/variables, subtle interactions between entities, or a combination of all factors. Engineering, computing science, and ML empower data analysis tasks. The IDA extracts knowledge from too much data, with a vast amount of variables, data that represents very complex, nonlinear, real-life problems. IDA can help raw data analysis, coping with prediction tasks without knowing the theoretical description of the underlying process, classification tasks of new events, or modeling unknown processes. Classification, prediction, and modeling are the cornerstones brought in by IDA. This book focuses on AIH methods and tools to bridge data gathering and data comprehension. Emphasis will also be given to problem solving within HFs to handle patient records, data warehousing, intelligent alarming, competent monitoring, etc. In medicine, overcoming this gap is particularly crucial since medical decision-making needs comprehension of healthcare data regularities and trends. This book tackles different IDA approaches. Submission Schedule One-page abstract submission: May 20, 2021 Structured Abstract Template in Word Manuscript submission due: May 31, 2021 Manuscript Template in Word Manuscript Template in pdf Review notification with acceptance/rejection: June 30, 2021 Revised paper submission: July 31, 2021 Camera-Ready Submission: August 31, 2021 &nbsp

Published
2022
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134. Switching Between Different Ways to Think : Multiple Approaches to Affective Common Sense Reasoning

Author

Cambria, Erik, Mazzocco, Thomas, Hussain, Amir, Durrani, Tariq, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Esposito, Anna, editor, Vinciarelli, Alessandro, editor, Vicsi, Klára, editor, Pelachaud, Catherine, editor, and Nijholt, Anton, editor

Published
2011
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135. Can’t See the Forest: Using an Evolutionary Algorithm to Produce an Animated Artwork

Author

Trist, Karen, Ciesielski, Vic, Barile, Perry, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin (Sherman), Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert, Series editor, Coulson, Geoffrey, Series editor, Huang, Fay, editor, and Wang, Reen-Cheng, editor

Published
2010
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136. BIBLIOMETRIC ANALYSIS OF PAPER PUBLICATION FOR ARTIFICIAL INTELLIGENCE ON LIBRARIANSHIP SYSTEM WITH FULL AND FRACTIONAL METHOD

Author

Berliani, Kezia Putri and Yuadi, Imam

Subjects
AI, Counting, Fractional, Full Counting, Librarianship, Systems
Abstract

Knowing the bibliometric analysis of AI publications in the librarian system will be a great research opportunity because its development is very high. On the other hand, we can solve the convenience of current bibliometric analysis with bibliometric network applications, such as VOSViewer. However, the calculation is presented with two options, complete and fractional, for analysis. The bibliometric method is used to analyze the trend from time to time regarding AI in this library. The study uses Scopus to get data and VOSViewer to analyze, accompanied by trials with full and fractional methods. Through a restricted search of the past five years. AI has relevance to Librarianship Systems and trends in Digital Libraries. Then, it is found that there are differences in the calculation of the total and fractional methods that stand out in the bibliographic coupling approach. The development of AI in the librarian system is very high and is influenced by surrounding phenomena, while the choice of whole and fractional methods is not found to have absolute differences.

Published
2022
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137. Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare

Author

Hayit Greenspan, Wiro J. Niessen, Mads Nielsen, Raúl San José Estépar, Eliot L. Siegel, Radiology & Nuclear Medicine, and Medical Informatics

Subjects
Diagnostic Imaging, Coronavirus disease 2019 (COVID-19), Computer science, Pneumonia, Viral, Population, Health Informatics, Article, 030218 nuclear medicine & medical imaging, Task (project management), Betacoronavirus, 03 medical and health sciences, 0302 clinical medicine, Artificial Intelligence, Health care, Pandemic, Humans, Radiology, Nuclear Medicine and imaging, National level, education, Pandemics, education.field_of_study, Radiological and Ultrasound Technology, SARS-CoV-2, business.industry, imaging, COVID-19, Computer Graphics and Computer-Aided Design, Engineering management, Key factors, Radiology Nuclear Medicine and imaging, AI, Position paper, Computer Vision and Pattern Recognition, Coronavirus Infections, business, Algorithms, 030217 neurology & neurosurgery
Abstract

Highlights • In this position paper, we provide a collection of views on the role of AI in the COVID-19 pandemic, from the clinical needs to the design of AI-based systems, to the translation of the developed tools to the clinic. We highlight key factors in designing system solutions - per specific task; as well as design issues in managing the disease on the national level. We focus on three specific use-cases for which AI systems can be built: from the early disease detection, the management of the disease in a hospital setting, and building patient-specific predictive models that require the combination of imaging with additional clinical features. Infrastructure considerations and population modeling in two European countries will be described. This pandemic has made the practical and scientific challenges of making AI solutions very explicit. A discussion concludes this paper, with a list of challenges facing the community in the AI road ahead., In this position paper, we provide a collection of views on the role of AI in the COVID-19 pandemic, from clinical requirements to the design of AI-based systems, to the translation of the developed tools to the clinic. We highlight key factors in designing system solutions - per specific task; as well as design issues in managing the disease at the national level. We focus on three specific use-cases for which AI systems can be built: early disease detection, management in a hospital setting, and building patient-specific predictive models that require the combination of imaging with additional clinical data. Infrastructure considerations and population modeling in two European countries will be described. This pandemic has made the practical and scientific challenges of making AI solutions very explicit. A discussion concludes this paper, with a list of challenges facing the community in the AI road ahead.

Published
2020

138. Text/Conference Paper

Author

Bork, Dominik, Fettke, Peter, and Reimer, Ulrich

Subjects
Model Learning, Conceptual Modelling, AI, Explainability
Abstract

The workshop focuses on topics at the intersection of the fields of conceptual modeling and AI and explores the value conceptual modeling brings to AI, and, vice versa, the value that AI can bring to conceptual modeling. This covers a wide range of issues such as how to combine learned and manually engineered models, data-driven modelling support, automatic incremental model adaptation, and how to achieve the explainability of learned models e.g. by utilizing conceptual models as background knowledge.

Published
2022
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139. Text/Conference Paper

Author

Schaller, Felix

Subjects
Machine Learning, AI, Cognitive thinking, Computer linguistics, Software Models, Cybernetics and Systems Theory
Abstract

Since the last decade, machine learning, especially with artificial neural networks, has triggered a new quantum leap in computer science. Despite the considerable achievements, these applications still lack a general purpose approach for artificial intelligence (AI). The main reason is the absence of the ability for cognitive reflection or self-awareness. They are mainly highly specialized trained patterns that can solve intricate problems but cannot describe themselves. I would like to contrast this with a new method of trainable software models that shall be capable for self-awareness. Implemented in the project Natural Language Platform NLX it shall be demonstrated that self-aware AI is key for human-like cognitive tasks. The hypothesis claims that to reach this goal, machines require to describe its system context semantically by a formal model. Neuronal networks are good at specific tasks, but the trained patterns cannot derive a reasoning for the trained solution. Only that it satisfies its intended functionality - but not why. Creating formal models instead of patterns has turned out, that the formal nature of natural language is the best to reach that goal of a self-aware AI. Certainly there are other AI’s that do natural language processing with neuronal networks. But most of the models try to resolve the content with too rigid constraints and with little attention to the context. For this project context plays a key role to resolve the meaning of natural language. If the context is resolved correctly, such AI can be used for general purpose tasks resolving anything imaginable.

Published
2022
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141. AI COMPONENTS FOR PERFORMANCE MEASUREMENT - A BIBLIOMETRIC APPROACH.

Author

RADU, VALENTIN, CROITORU, IONUT MARIUS, TĂBÎRCĂ, ALINA IULIANA, and STOICA, SILVIU-IONEL

Subjects
ARTIFICIAL intelligence, PATENT databases, BIBLIOMETRICS, TECHNOLOGICAL innovations, CONFERENCE papers
Abstract

This study employs a bibliometric approach to analyze the landscape of artificial intelligence (AI) components used in performance measurement. As organizations increasingly leverage AI for optimizing processes and decision-making, understanding the trends in AI components becomes imperative. The identified AI components are classified based on their roles in enhancing performance measurement, offering insights into the prevalent methodologies and emerging technologies. The bibliometric analysis encompasses a comprehensive review of scholarly articles, conference papers, and patents, systematically exploring the evolving field. In this research, the methodology involves data extraction from reputable academic databases and patent repositories, followed by applying bibliometric techniques to quantify and visualize key aspects. The findings of this study contribute to the existing knowledge by mapping the intellectual structure of AI components for performance measurement. [ABSTRACT FROM AUTHOR]

Published
2023

143. An actuarial artificial intelligence for the game rock-paper-scissors.

Author

Jordan, Michael B.

Subjects
*ACTUARIAL science, *ROCK-paper-scissors (Game), *HAND games, *RULES of games, *SPORTING rules
Abstract

The article presents the actuarial artificial intelligence in playing the rock-paper-scissors game. Topics discussed include an overview of the rock-paper-scissors game, an outline of its different strategies, the definition of its variables, its basics, the reset of its probabilities, and the flexibility of its probabilities.

Published
2016
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144. AI at the Edge, 2021 EPoSS White Paper

Author

Bierzynski, Kay, Calvo Alonso, Daniel, Gandhi, Kaustubh, Lehment, Nicolas, Mayer, Dirk, Nackaerts, Axel, Neul, Reinhard, Peischl, Bernhard, Rix, Nigel, Röhm, Horst, Rzepka, Sven, Seifert, Inessa, Steimetz, Elisabeth, Stree, Bernard, Tedesco, Salvatore, Veledar, Omar, and Wilsch, Benjamin

Subjects
Smart systems integration, Artificial Intelligence, AI, European smart systems providers, Edge computing, Edge AI, Smart Systems
Abstract

In this paper members of the European Platform on Smart Systems Integration (EPoSS) have collected their views on the benefits of incorporating Artificial Intelligence in future Smart devices and defined the actions required to achieve this to implement "AI at the Edge".

Published
2021

148. A Novel Supply Chain-Based Framework for the Healthcare Industry: A Survey Paper.

Author

Satav, Sandip D.

Subjects
HEALTH care industry, SUPPLY chains, SURVEYS, PATIENT care, OPERATIONS research
Abstract

In recent years, the healthcare industry has faced numerous challenges in ensuring efficient and reliable supply chain management. The emergence of novel supply chain-based frameworks has presented promising solutions to these challenges. This survey paper aims to explore and analyze the latest advancements in supply chain frameworks specifically tailored for the healthcare industry. We review the existing literature, identify key trends, and highlight the potential impact of these frameworks on improving patient care, optimizing inventory management, enhancing operational efficiency, and reducing costs. Additionally, we discuss the challenges and opportunities associated with the implementation of these frameworks and suggest future research directions. [ABSTRACT FROM AUTHOR]

Published
2023
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149. The Role of ChatGPT, Generative Language Models, and Artificial Intelligence in Medical Education: A Conversation With ChatGPT and a Call for Papers.

Author

Eysenbach, Gunther

Subjects
CHATGPT, ARTIFICIAL intelligence, MEDICAL education, LANGUAGE & languages, MEDICAL technology
Abstract

ChatGPT is a generative language model tool launched by OpenAI on November 30, 2022, enabling the public to converse with a machine on a broad range of topics. In January 2023, ChatGPT reached over 100 million users, making it the fastest-growing consumer application to date. This interview with ChatGPT is part 2 of a larger interview with ChatGPT. It provides a snapshot of the current capabilities of ChatGPT and illustrates the vast potential for medical education, research, and practice but also hints at current problems and limitations. In this conversation with Gunther Eysenbach, the founder and publisher of JMIR Publications, ChatGPT generated some ideas on how to use chatbots in medical education. It also illustrated its capabilities to generate a virtual patient simulation and quizzes for medical students; critiqued a simulated doctor-patient communication and attempts to summarize a research article (which turned out to be fabricated); commented on methods to detect machine-generated text to ensure academic integrity; generated a curriculum for health professionals to learn about artificial intelligence (AI); and helped to draft a call for papers for a new theme issue to be launched in JMIR Medical Education on ChatGPT. The conversation also highlighted the importance of proper "prompting." Although the language generator does make occasional mistakes, it admits these when challenged. The well-known disturbing tendency of large language models to hallucinate became evident when ChatGPT fabricated references. The interview provides a glimpse into the capabilities and limitations of ChatGPT and the future of AI-supported medical education. Due to the impact of this new technology on medical education, JMIR Medical Education is launching a call for papers for a new e-collection and theme issue. The initial draft of the call for papers was entirely machine generated by ChatGPT, but will be edited by the human guest editors of the theme issue. [ABSTRACT FROM AUTHOR]

Published
2023
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