generative ai

FDCL Part I: Geometry and Connectivity of FDCL and Partial-Unfolding Fractals

We determine the contact geometry of the six-map Fractal Diagonal Cut Lattice (FDCL) and the connectivity of two separately specified graph and planar constructions. All fifteen first-level contacts are classified explicitly. Their union contains dyadic combs, has Hausdorff dimension one, infinite length, and five conn...

Retrieval-Augmented Generation Applications and Development in the Field of Electronic Test Instruments

The rapid development of artificial intelligence (AI), especially the fast iteration and widespread deployment of large language models (LLMs), has ushered in a new paradigm for the intelligent augmentation of electronic test instruments and automatic test systems (ATS). By combining the powerful reasoning and generati...

Self-refining structures in large-language generative AI models for the generation of cybersecurity detection capabilities using machine-based and natural languages

The cybersecurity threat landscape evolves rapidly placing increasing pressure on detectionapproaches that rely on static rules, manually curated signatures, or models trained on fixeddatasets. While modern security environments collect large volumes of telemetry data, theprocesses used to generate and maintain detecti...

Learning to Code with Generative AI: Benefits, Risks, and a Comprehension-First Approach

Abstract: This narrative review examines how generative AI affects programming productivity, novice learning, code reliability, and software-engineering education. AI delivers the most value when students use it to unpack, test, and refine their thinking, rather than just taking generated code at face value. Keywords:...

Generative artificial intelligence in oncology patient counselling: Transforming oncology pharmacy practice through human–AI collaborative care

Objective: To critically evaluate the current evidence regarding the application of generative artificial intelligence (GenAI) in oncology patient counselling, with particular emphasis on oncology pharmacy practice, and to distinguish direct oncology evidence from indirect evidence derived from general healthcare and o...

A deep generative adversarial framework with rat-optimized feature selection for efficient intrusion detection in large-scale cloud network traffic environments

Abstract Cloud computing is a fundamental paradigm in modern computing; however, its distributed and multi-tenant nature increases exposure to cyber threats, making effective intrusion detection essential. Despite recent advances in artificial intelligence–based intrusion detection systems (IDS), many existing approach...

Designing responsible AI feedback in higher education: faculty readiness, student judgement, and metacognitive calibration

Artificial intelligence (AI) is now part of everyday academic work in higher education, including feedback. However, AI feedback does not automatically lead to learning. It can help students rethink a concept, improve a draft, and notice gaps in their work, but it can also create a false sense of progress when students...

The association between AI usage and critical thinking in AI contexts: examining the mediating roles of automation bias and cognitive offloading

Critical gaps in health technology assessment guidance for generative AI across six health systems

Abstract The integration of artificial intelligence (AI) in healthcare poses significant challenges for evaluation due to algorithmic complexity and evolving performance. Existing evidence generation guidelines, primarily designed for static medical technologies, may inadequately address the unique characteristics of g...

Drawing boundaries: How creative practitioners navigate precarity in AI-embedded creative work

As generative artificial intelligence (AI) continues to grow within creative industries, existing research has examined its implications for creative labour. However, much of this work emphasises AI’s impact on efficiency gains or creativity, offering limited insight into how practitioners adopt AI tools and negotiate...

Bridging the AI use–competence gap

Generative artificial intelligence (AI) is transforming graduate research and academic work; however, increased use does not necessarily lead to critical evaluation or responsible engagement. This study examines the gap between graduate students’ AI use and their evaluative, ethical, and rhetorical engagement with AI-g...

Reframing Authorship and Ethics in AI-driven and Immersive Architectural Environments: A Transdisciplinary Review

This article presents a comprehensive transdisciplinary review of the ways in which artificial intelligence(AI) and immersive technologies are transforming foundational concepts of authorship, ethics, and creativitywithin contemporary architecture and spatial design. The traditional notion of the architect as a singula...