ARTIFICIAL INTELLIGENCE

This study examined the impact of Artificial Intelligence on the Research Productivity of Library and Information Science students in Edo State. Five research questions were raised to guide the study. The study employed a descriptive survey research design. The population of the study comprised of all undergraduate students in the Department of Library and Information Science (LIS), Edo State who are registered and actively enrolled in the 2024/2025 academic session. A sample of 205 respondents was randomly selected and used in the study and they were drawn to represent the entire population. The Instrument for data collection in this study was a structured questionnaire developed by the researcher titled "The Impact of Artificial Intelligence on Research Productivity of Library and Information Science Students in Edo State (TIAIRPQ). The data collected were analyzed using mean (x), standard deviation (SD) and percentage method. The findings from the study showed that ChatGPT is the commonly used AI tool by LIS Students. Supporting this finding, Tlili et al. (2023) reported that ChatGPT is widely adopted by university students because it integrates naturally into existing learning workflows without requiring advanced technical skills. Furthermore, it was discovered that the level of Awareness among students regarding ethical issues in AI Assisted Research is high. Based on the findings of the study, it was recommended that Nigerian tertiary institutions offering LIS programmes should formally integrate ChatGPT and similar generative AI tools into information literacy and research methodology courses through guided instructional use.

This project work provides an overview on the application of linear algebra to artificial intelligence including natural language processing and machine learning. We discuss how linear algebra operations such as matrices, linear transformations, eigen values and eigen vectors, are used to optimize AI models, analyze complex data structures and enable efficient computation. Beginning with an overview of fundamental concepts in linear algebra, such as vectors, matrices, and linear transformations, the study delves into specific applications of these concepts in AI. One key area of focus is machine learning, where linear algebra forms the backbone of algorithms for tasks such as regression analysis, and principal component analysis for dimensionality reduction. This work also showcases the versatility of linear algebra by delving deep into the various reaches of linear algebra into many other fields and areas of study such as economics, physics and engineering.

This study examines the use of Artificial Intelligence (AI) in contemporary global conflict since 2000AD. The rapid advancement of digital technology and artificial intelligence has significantly transformed the nature of warfare, security operations, intelligence gathering, and international conflict management in the twenty-first century. The study explores how AI technologies have been applied in modern conflicts through autonomous weapons systems, surveillance technologies, cybersecurity operations, drone warfare, intelligence analysis, and military decision-making processes. It also investigates the implications of AI on global peace, security, and international relations. The study adopted a descriptive and analytical research design using secondary sources of data, including books, journal articles, government publications, online reports, and scholarly materials related to artificial intelligence and modern warfare. Findings revealed that AI has improved military efficiency, speed, precision, and intelligence capabilities in many countries involved in global conflicts. Nations such as the United States, China, and Russia have increasingly invested in AI-driven military technologies to strengthen national defense and strategic advantage. The study also found that AI has contributed to the rise of cyber warfare, automated surveillance systems, misinformation campaigns, and the development of autonomous combat weapons. Despite these advantages, the study identified several challenges associated with the use of AI in contemporary conflicts. These include ethical concerns, civilian casualties resulting from autonomous systems, loss of human control in warfare, cyber threats, privacy violations, and the possibility of AI technologies being used by terrorist groups and criminal organizations. The study further revealed that the absence of comprehensive international regulations on military AI poses serious risks to global security and stability. The study concluded that artificial intelligence has become a major factor shaping the nature of contemporary global conflict since 2000AD. While AI offers opportunities for improved security and military effectiveness, its misuse and uncontrolled expansion could threaten international peace and human safety. The study therefore recommended the establishment of global policies and ethical frameworks to regulate the use of AI in warfare, encourage international cooperation, and ensure that AI technologies are used responsibly for the promotion of peace and security worldwide.