Jul 2026· American Journal of Education and Technology· 0 citations· 26 references
TL;DR
This paper offers significantly crucial insights into how scientific research can be streamlined through the utilization of several AI-powered applications while maintaining the academically and methodologically agreed-upon standards and ethics.
Abstract
Artificial intelligence (AI) is a multidisciplinary field concerned with the development of systems and AI-powered applications capable of performing tasks that normally require human intelligence, including natural language processing and recognition, and decision-making. AI has evolved rapidly and has increasingly influenced various sectors, including higher education and scientific research. In recent years, AI-powered tools have begun to reshape key stages of the research process, notably literature review, data collection, and data analysis. Despite this growing influence, the integration of AI into scientific research remains underexplored in the Moroccan academic sphere. This practice-oriented paper explores a wide range of AI-powered applications and how they can be effectively utilized to enhance research productivity and efficiency across different stages of the research process. This paper offers significantly crucial insights into how scientific research can be streamlined through the utilization of several AI-powered applications while maintaining the academically and methodologically agreed-upon standards and ethics.
An overview of artificial intelligence is presented by discussing its fundamental concepts, definitions, historical evolution, key characteristics, major applications, recent advancements, and notable achievements.
Mahendra Manilal Patel, Brijesh J. Gameti, Darshanaben D. Pandya· International Journal of Sci...· 0 citations
Artificial Intelligence (AI) has emerged as one of the most transformative technologies in the field of Library and Information Science (LIS). Libraries across the world are increasingly adopting AI-based tools and technologies to improve information retrieval, automate routine operations, enhance user experience, and support decision-making processes. This review paper examines the role of AI tools in modern libraries and explores their applications in cataloguing, classification, reference services, digital preservation, information retrieval, collection management, user services, and research support. The study also highlights the growing integration of machine learning, natural language processing, robotics, expert systems, and chatbots in library environments. In addition, the paper discusses the benefits, challenges, ethical concerns, and future trends associated with AI implementation in libraries. Several Indian and international case studies are included to demonstrate practical applications of AI in academic, public, and digital libraries. The findings reveal that AI technologies are reshaping library services by improving efficiency, personalization, accessibility, and resource management. However, challenges such as a lack of technical expertise, financial limitations, privacy concerns, and ethical issues continue to affect large-scale adoption. The study concludes that AI should be viewed as a supportive technology that enhances the role of librarians rather than replacing them. Continuous training, policy development, infrastructure improvement, and responsible AI governance are essential for the successful integration of AI tools in libraries.
I. Ansari· Journal of Library and Infor...· 0 citations
The sections that follow trace the historical development of AI within computer science, review the principal technique families and their applications, and close with an original discussion of cross-cutting patterns, ethical obligations, and likely future directions.
Elayaraja Subbaiah, Manykandaprebou Vaitinadin, E. Kesavan· International Journal of Sci...· 0 citations
Artificial Intelligence (AI) is one of the most significant technological advancements in the modern world. It refers to the capability of machines and computer systems to carry out tasks that typically require human intelligence, including learning, reasoning, problem-solving, decision-making, and understanding language. The idea of Artificial Intelligence was first introduced by John McCarthy in 1956.Since that time, AI has grown rapidly because of improvements in computer technology, the availability of large amounts of data, and the development of powerful algorithms. In recent years, Artificial Intelligence has become a key part of daily life. Many industries and organizations are now increasingly using AI technologies to boost efficiency and productivity.AI systems can process large volumes of data quickly and accurately, helping organizations make more informed decisions. Examples of AI applications in modern society include voice assistants, recommendation systems, self-driving cars, and intelligent robots. AI is widely applied across various sectors like healthcare, education, banking, manufacturing, transportation, and e-commerce. In healthcare, AI helps doctors make more accurate diagnoses and deliver better treatments. In banking and finance, it is used to identify fraudulent activities, manage risks, and enhance customer service. In education, AI tools support personalized learning and assist teachers in improving their teaching methods. Likewise, in manufacturing, AI-powered machines and robots help automate production, minimize human errors, and increase overall efficiency.
R. Aathilakshmi, T. Sharmila Fernando· International journal of com...· 0 citations
Advancements in Artificial Intelligence (AI) continue to propel a revolution in academic research computing. As academics turn to AI to make fundamental strides in their research, they refine and expand existing techniques to create new models and algorithms, AI-ready datasets, AI-relevant cyberinfrastructure, and more. However, with AI techniques and computing resources evolving rapidly, both academia and industry must ensure that a trained workforce of capable researchers is poised to make continued advancements in the AI sphere. The NSF Center of Excellence for Science Gateways (SGX3) convened an initiative called the AI Blueprint Factory to ascertain the AI needs of research communities that use national-scale computing infrastructure, and to make 5 to 10 year forecasts of needed features and resources. Its study team interviewed researchers across disciplines and seniority levels to determine perceived needs, opportunities, and gaps in AI research support. With this study, SGX3 seeks to identify the evolving scientific needs for AI capabilities, in order to foster the utilization of AI techniques in domain science research. In this paper, we describe the study’s conclusions, including concerns and recommendations, relating to workforce development for AI in scientific research.
Jeanette M. Sperhac, Sandra Gesing, Rob Quick et al.· Practice and Experience in A...· 0 citations
The advancement of AI in science raises broader questions concerning the division of cognitive labour between human researchers and machines, and a typology of AI systems used in research is proposed, ranging from specialised scientific AI through scientific AI assistants and agents to hybrid experimental systems that combine computation and physical experimentation.
P. Jedlička· Teorie vědy / Theory of Scie...· 0 citations
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