Artificial intelligence: A powerful paradigm for scientific research
Artificial intelligence (AI) is a rapidly evolving field that has transformed various domains of scientific research. This article provides an overview of the history, applications, challenges, and opportunities of AI in science. It also discusses how AI can enhance scientific creativity, collaboration, and communication. Learn more about the potential and impact of AI in science by reading ...
Artificial intelligence research: A review on dominant themes, methods
This article presents an analysis of artificial intelligence (AI) in information systems and innovation-related journals to determine the current issues and stock of knowledge in AI literature, research methodology, frameworks, level of analysis and conceptual approaches.
AI-Based Modeling: Techniques, Applications and Research ...
Therefore the purpose of this paper is to provide a fundamental guide for those academics and industry professionals who want to study, research, and develop automated, intelligent, and smart systems based on artificial intelligence techniques in relevant application domains.
Scientific discovery in the age of artificial intelligence
The advances in artificial intelligence over the past decade are examined, with a discussion on how artificial intelligence systems can aid the scientific process and the central issues that ...
Generative AI: A Review on Models and Applications
Generative Artificial Intelligence (AI) stands as a transformative paradigm in machine learning, enabling the creation of complex and realistic data from latent representations. This review paper comprehensively surveys the landscape of Generative AI, encompassing its foundational concepts, diverse models, training methodologies, applications, challenges, recent advancements, evaluation ...
Generative AI: A systematic review using topic modelling techniques
Generative artificial intelligence (GAI) is a rapidly growing field with a wide range of applications. In this paper, a thorough examination of the research landscape in GAI is presented, encompassing a comprehensive overview of the prevailing themes and topics within the field.
Artificial Intelligence Augmented Qualitative Analysis: The Way of the
The artificial intelligence (AI) revolution is here and gathering momentum, thanks to new models of natural language processing (NLP) and rapidly increasing adoption by the public. NLP technology uses statistical analysis of language structures to analyse and generate human language, using text or speech as its source material. It can also be applied to visual mediums like images and videos. A ...
A Systematic Review of Artificial Intelligence Techniques in Cancer
The paper provides a description of cancer complications and clinical applications, cancer classification using AI-based techniques, the role of deep learning in cancer research, limitations of cancer prediction-related using automated learning, multiple investigations, and challenges corresponding to cancer research using AI-based techniques.
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. To familiarize ...
[2107.07045] Explainable AI: current status and future directions
Explainable Artificial Intelligence (XAI) is an emerging area of research in the field of Artificial Intelligence (AI). XAI can explain how AI obtained a particular solution (e.g., classification or object detection) and can also answer other "wh" questions.
AI-Based Modeling: Techniques, Applications and Research Issues Towards
Therefore the purpose of this paper is to provide a fundamental guide for those academics and industry professionals who want to study, research, and develop automated, intelligent, and smart systems based on artificial intelligence techniques in relevant application domains.
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, ...
(PDF) AI-Based Modeling: Techniques, Applications and Research Issues
The adoption of artificial intelligence in healthcare continues to grow with varied implications in pathological anatomy, imaging, cardiology and others, but it is important that medical personnel ...
A comprehensive literature review of the applications of AI techniques
Driven by the ongoing migration towards Industry 4.0, the increasing adoption of artificial intelligence (AI) has empowered smart manufacturing and digital transformation. AI enhances the migration towards industry 4.0 through AI-based decision-making by analyzing real-time data to optimize different processes such as production planning, predictive maintenance, quality control etc., thus ...
Artificial Intelligence, Machine Learning and Deep Learning (Literature
The application of artificial intelligence techniques to cooperative distributed processing [Paper presentation]. The 6th International Joint Conference on Artificial Intelligence (Vol. 1, pp. 537-540).
Artificial intelligence in innovation research: A systematic review
Artificial Intelligence (AI) is increasingly adopted by organizations to innovate, and this is ever more reflected in scholarly work. To illustrate, a…
Applications of artificial intelligence in power system operation
As different artificial intelligence (AI) techniques continue to evolve, power systems are undergoing significant technological changes with the primary goal of reducing computational time, decreasing utility and consumer costs and ensuring the reliable operation of an electrical power system. AI techniques compute large amounts of data at a faster speed than numerical optimization methods ...
Artificial Intelligence and Firm Performance: A Systematic Literature
This article presents a comprehensive systematic literature review examining the intricate relationship between artificial intelligence (AI) and firm performance. The objective is to deepen our understanding of the role of AI in driving firm performance and to identify avenues for further research. Drawing from a meticulous analysis of 101 articles spanning 47 years, this study identifies key ...
(PDF) Research Paper on Artificial Intelligence
PDF | This branch of computer science is concerned with making computers behave like humans. Artificial intelligence includes game playing, expert... | Find, read and cite all the research you ...
Rethinking research and generative artificial intelligence
Science and research integrity has been facing a growing crisis. Mass retractions, manipulated peer review, authorship for sale, and complicit guest editors have shaken the publishing system and risk undermining public trust in the scientific record. Meanwhile, there have been huge advances in the development of generative artificial intelligence (AI).
A Bibliometric Analysis of Four Decades of Artificial Intelligence in
The rapid evolution of Artificial Intelligence applications in the field of human resources motivated researchers to examine the development and deployment of these technologies in the different human resources functional disciplines. Despite the increase in the number of publications, the bibliometric mapping and analysis of the literature is still narrow in focus and lagging in drawing an ...
Towards the automation of systematic reviews using natural ...
This pressing need to streamline and enhance the efficiency of SRs has prompted significant interest in leveraging Artificial Intelligence (AI) techniques to automate various stages of the SR process.
JCM
Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.
AI in Finance: Challenges, Techniques and Opportunities
The comparison, criticism and discussion of classic vs. modern AI techniques for finance are followed. Lastly, open issues and opportunities address future AI-empowered finance and finance-motivated AI research.
Social media influencers: a systematic review using PRISMA
Additional effective data analysis techniques coupled with artificial intelligence need to be explored to reveal contributing factors, drivers, and inhibitors of SMI through survey-based studies and exploratory studies involving test hypotheses. ... While around 4.92% of research papers adopt quantitative methods, approximately 22.95% utilize a ...
Artificial intelligence: A powerful paradigm for scientific research
Abstract. Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well known from computer science is broadly affecting many aspects of various fields including science and technology, industry, and even our day-to-day life. The ML techniques have been developed to analyze high-throughput data with a view to ...
MIT researchers introduce generative AI for databases
They are joined on the paper by Matin Ghavami and Alexander Lew, MIT graduate students; Cameron Freer, a research scientist; Ulrich Schaechtle and Zane Shelby of Digital Garage; Martin Rinard, an MIT professor in the Department of Electrical Engineering and Computer Science and member of the Computer Science and Artificial Intelligence ...
AIJ
AIJ welcomes basic and applied papers describing mature, complete, and novel research that articulate methods for, and provide insight into artificial intelligence and the production of artificial intelligent systems.
Assessing Feature Importance in Eye-Tracking Data within Virtual ...
Our research systematically investigates the cognitive and emotional processes revealed through eye movements within the context of virtual reality (VR) environments. We assess the utility of eye-tracking data for predicting emotional states in VR, employing explainable artificial intelligence (XAI) to advance the interpretability and transparency of our findings.
Lunar Lithium-7 Sensing (δ7Li): Spectral Patterns and Artificial
Drawing from a limited dataset collected during the Apollo missions (Apollo 12, 15, 16, and 17) and leveraging artificial intelligence techniques and sample expansion through bootstrapping, this study develops predictive models for lithium-7 concentration based on spectral patterns.
COMMENTS
Artificial intelligence (AI) is a rapidly evolving field that has transformed various domains of scientific research. This article provides an overview of the history, applications, challenges, and opportunities of AI in science. It also discusses how AI can enhance scientific creativity, collaboration, and communication. Learn more about the potential and impact of AI in science by reading ...
This article presents an analysis of artificial intelligence (AI) in information systems and innovation-related journals to determine the current issues and stock of knowledge in AI literature, research methodology, frameworks, level of analysis and conceptual approaches.
Therefore the purpose of this paper is to provide a fundamental guide for those academics and industry professionals who want to study, research, and develop automated, intelligent, and smart systems based on artificial intelligence techniques in relevant application domains.
The advances in artificial intelligence over the past decade are examined, with a discussion on how artificial intelligence systems can aid the scientific process and the central issues that ...
Generative Artificial Intelligence (AI) stands as a transformative paradigm in machine learning, enabling the creation of complex and realistic data from latent representations. This review paper comprehensively surveys the landscape of Generative AI, encompassing its foundational concepts, diverse models, training methodologies, applications, challenges, recent advancements, evaluation ...
Generative artificial intelligence (GAI) is a rapidly growing field with a wide range of applications. In this paper, a thorough examination of the research landscape in GAI is presented, encompassing a comprehensive overview of the prevailing themes and topics within the field.
The artificial intelligence (AI) revolution is here and gathering momentum, thanks to new models of natural language processing (NLP) and rapidly increasing adoption by the public. NLP technology uses statistical analysis of language structures to analyse and generate human language, using text or speech as its source material. It can also be applied to visual mediums like images and videos. A ...
The paper provides a description of cancer complications and clinical applications, cancer classification using AI-based techniques, the role of deep learning in cancer research, limitations of cancer prediction-related using automated learning, multiple investigations, and challenges corresponding to cancer research using AI-based techniques.
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. To familiarize ...
Explainable Artificial Intelligence (XAI) is an emerging area of research in the field of Artificial Intelligence (AI). XAI can explain how AI obtained a particular solution (e.g., classification or object detection) and can also answer other "wh" questions.
Therefore the purpose of this paper is to provide a fundamental guide for those academics and industry professionals who want to study, research, and develop automated, intelligent, and smart systems based on artificial intelligence techniques in relevant application domains.
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, ...
The adoption of artificial intelligence in healthcare continues to grow with varied implications in pathological anatomy, imaging, cardiology and others, but it is important that medical personnel ...
Driven by the ongoing migration towards Industry 4.0, the increasing adoption of artificial intelligence (AI) has empowered smart manufacturing and digital transformation. AI enhances the migration towards industry 4.0 through AI-based decision-making by analyzing real-time data to optimize different processes such as production planning, predictive maintenance, quality control etc., thus ...
The application of artificial intelligence techniques to cooperative distributed processing [Paper presentation]. The 6th International Joint Conference on Artificial Intelligence (Vol. 1, pp. 537-540).
Artificial Intelligence (AI) is increasingly adopted by organizations to innovate, and this is ever more reflected in scholarly work. To illustrate, a…
As different artificial intelligence (AI) techniques continue to evolve, power systems are undergoing significant technological changes with the primary goal of reducing computational time, decreasing utility and consumer costs and ensuring the reliable operation of an electrical power system. AI techniques compute large amounts of data at a faster speed than numerical optimization methods ...
This article presents a comprehensive systematic literature review examining the intricate relationship between artificial intelligence (AI) and firm performance. The objective is to deepen our understanding of the role of AI in driving firm performance and to identify avenues for further research. Drawing from a meticulous analysis of 101 articles spanning 47 years, this study identifies key ...
PDF | This branch of computer science is concerned with making computers behave like humans. Artificial intelligence includes game playing, expert... | Find, read and cite all the research you ...
Science and research integrity has been facing a growing crisis. Mass retractions, manipulated peer review, authorship for sale, and complicit guest editors have shaken the publishing system and risk undermining public trust in the scientific record. Meanwhile, there have been huge advances in the development of generative artificial intelligence (AI).
The rapid evolution of Artificial Intelligence applications in the field of human resources motivated researchers to examine the development and deployment of these technologies in the different human resources functional disciplines. Despite the increase in the number of publications, the bibliometric mapping and analysis of the literature is still narrow in focus and lagging in drawing an ...
This pressing need to streamline and enhance the efficiency of SRs has prompted significant interest in leveraging Artificial Intelligence (AI) techniques to automate various stages of the SR process.
Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.
The comparison, criticism and discussion of classic vs. modern AI techniques for finance are followed. Lastly, open issues and opportunities address future AI-empowered finance and finance-motivated AI research.
Additional effective data analysis techniques coupled with artificial intelligence need to be explored to reveal contributing factors, drivers, and inhibitors of SMI through survey-based studies and exploratory studies involving test hypotheses. ... While around 4.92% of research papers adopt quantitative methods, approximately 22.95% utilize a ...
Abstract. Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well known from computer science is broadly affecting many aspects of various fields including science and technology, industry, and even our day-to-day life. The ML techniques have been developed to analyze high-throughput data with a view to ...
They are joined on the paper by Matin Ghavami and Alexander Lew, MIT graduate students; Cameron Freer, a research scientist; Ulrich Schaechtle and Zane Shelby of Digital Garage; Martin Rinard, an MIT professor in the Department of Electrical Engineering and Computer Science and member of the Computer Science and Artificial Intelligence ...
AIJ welcomes basic and applied papers describing mature, complete, and novel research that articulate methods for, and provide insight into artificial intelligence and the production of artificial intelligent systems.
Our research systematically investigates the cognitive and emotional processes revealed through eye movements within the context of virtual reality (VR) environments. We assess the utility of eye-tracking data for predicting emotional states in VR, employing explainable artificial intelligence (XAI) to advance the interpretability and transparency of our findings.
Drawing from a limited dataset collected during the Apollo missions (Apollo 12, 15, 16, and 17) and leveraging artificial intelligence techniques and sample expansion through bootstrapping, this study develops predictive models for lithium-7 concentration based on spectral patterns.