This paper focuses on AI censorship, an under addressed aspect of AI risk that intersects with the foundational library tenets of information literacy and intellectual freedom. AI censorship is a form of “automated censorship in which AI systems are used to selectively suppress …
This article examines the complexities of AI product development from the perspective of a Technical Program Manager (TPM). It explores the key components of AI products, the challenges faced by TPMs, and best practices for successfully navigating the AI product development land…
The Ghost in the Machine - AI's Impact on Cultural Heritage (Research) Over the past decade, deep learning methods have made remarkable advancements. This progress can be attributed to various factors such as massive parallelization through the utilization of Graphics Processing…
The rapid expansion of intelligent systems across distributed computing environments has created unprecedented challenges in scalability, interpretability, governance, and interdisciplinary integration. Artificial Intelligence (AI), Edge Computing, Tiny Machine Learning (TinyML)…
This guide provides a practical and accessible introduction to artificial intelligence in healthcare through 40 essential terms that go beyond simple definitions. Designed as a bridge between technical complexity and clinical practice, it translates core AI ideas into real-world…
In an education system, the language classroom is a creative space that facilitates proficiency in critical thought development, emotional growth and better comprehension of the world. With the advent of the digital revolution, emerging AI technology has potentially permeated th…
In this paper we provide a brief information about aspects of Artificial Intelligence. As we are stepping towards future Artificial Intelligence will become an important feature for Mankind. Study of artificial intelligence has quickly affected the rise of brilliant advancements…
The development of digital technology necessitates the strengthening of artificial intelligence literacy in elementary education as part of 21st-century skills. This study aims to develop a feasible and reliable AI literacy instrument for elementary school students. The research…
Abstract: Artificial intelligence (AI) is a computational approach that aims to mimic human-like thinking/cognitive abilities to tackle complicated engineering issues. AI is appropriate for engineering contexts with a large set of inputs. AI is a feasible alternative to traditio…
Slides for a talk outlining how to practice critical AI literacy in Digital Humanities. The presentation sketches a brief history of AI, surveys limitations of generative models (bias, explainability, transparency, accountability, reproducibility, environmental impact, legal and…
Artificial Intelligence (AI) has become a defining technology of the digital era, transforming the ways in which societies create, access, and use information across domains such as education, healthcare, public administration, finance, and communication. Alongside its significa…
This study presents the development of an AI agent trained using Proximal Policy Optimization (PPO) to compete in Street Fighter II: Special Champion Edition. The agent learned optimal combat strategies through reinforcement learning, processing visual input from frame-stacked g…
Today’s secondary classrooms face the challenge of integrating artificial intelligence (AI) in a way that enhances learning rather than undermines it. This article presents a classroom model for developing critical AI literacy among students in grades 6–12, emphasizing collabora…
The book "Artificial Intelligence (AI) with It's Applications" provides a comprehensive insight into the field of AI, exploring its fundamental principles, modern applications, and future potential. It serves as a valuable resource for students, researchers, and professionals lo…
Mimicking the brain is the most challenging task in the field of computer science since its origin. To achieve this many technologies were introduced namely Artificial intelligence, Machine learning, Neural networks, Deep learning. Among these Deep learning is the promising tech…
Artificial Intelligence encompasses various types and approaches, each tailored to specific tasks and domains. Narrow AI, such as speech recognition and recommendation systems, dominates the current landscape, while research on general AI continues. Machine learning and deep lea…
Next-Generation Mechatronics: Artificial Intelligence and Intelligent Robotics presents a comprehensive exploration of the convergence of mechatronics, artificial intelligence, machine learning, robotics, and intelligent automation. The book introduces the fundamental principles…
Humanity faces environmental crises on a scale that demands new scientific paradigms. While valuable, the application of artificial intelligence has largely been confined to a predictive role—a paradigm insufficient for the transformative action now required. We argue for a shif…
This research paper provides a comprehensive overview of the stateof-the-art advancements in Artificial Intelligence (AI) techniques and their applications. The paper begins with an introduction to AI research and its significance, followed by a detailed discussion of the latest…
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A Generative Paradigm for Environmental Science: From Prediction to Immersive Scenarios f…
While artificial intelligence continues to evolve in terms of computational e6iciency and decision-making capabilities, its ability to engage in self-reflexive processes remains largely unexplored. This study presents a comparative analysis between AI systems with embedded Refle…
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The AI Revolution in Life Sciences: Technologies, Applications, and Future Directions explores the transformative role of Artificial Intelligence (AI) in life-science research, healthcare, biotechnology, agriculture, and biological engineering. The book provides a concise and ac…
This paper examines the emerging application of Julian Jaynes’ bicameral mind theory to modern artificial intelligence systems, particularly in reinforcement learning (RL) and large language models (LLMs). The dual-process structure proposed by Jaynes—consisting of "speaking" an…
The integration of Artificial Intelligence (AI) into physical education (PE) and sports has evolved from early theoretical frameworks to sophisticated data-driven systems. This review traces AI's historical trajectory, highlighting key phases, technological advancements, applica…
Purpose: This review discovers the transformative impression of Artificial Intelligence (AI) and Machine Learning (ML) on the pharmaceutical industry and healthcare delivery, focusing on drug discovery, clinical pharmacy practice, and operational productivity. Methods: The artic…
Artificial Intelligence (AI) plays a key role in digital marketing by supporting predictive marketing, programmatic advertising, real-time bidding, and content optimization. It enables companies to analyze consumer data, predict customer behavior, and create personalized campaig…
Artificial Intelligence (AI) has rapidly evolved from being a theoretical concept in the mid-20th century to becoming a powerful and practical tool that is transforming industries worldwide—including the Information Technology (IT) sector. Initially limited to rule-based systems…
Artificial intelligence (AI) is being increasingly integrated into healthcare systems to enhance treatment, diagnosis, and patient care. This review evaluates the significant applications of AI in healthcare, particularly its impact on medical imaging, genomics, and early diagno…