artificial intelligence

The Ability of Generative Artificial Intelligence to Evaluate the Quality of Scholarly Output

Large language models (LLMs) are increasingly being considered as tools to support the peer-review process. However, we currently have a limited understanding of their capabilities and biases in this area. In a set of three studies, we examined how out-of-the box LLMs evaluate scientific quality when presented with con...

Architectures and physical limits of fast and sustainable artificial intelligence

The Procurement Professional in the AI Era: Procurement Capability under Technological Change and Strategic Supply Uncertainty

This independent professional research paper examines whether established procurement competency frameworks sufficiently articulate the capabilities required of practitioners operating in an environment shaped by artificial intelligence, changing international trade relationships and strategic supply uncertainty. Using...

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

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 approaches remain...

The effect of anxiety toward AI-based health technologies on attitudes toward the use of telemedicine services: The mediating role of online privacy perception

Introduction This study aimed to examine the effect of individuals’ anxiety toward AI-based health technologies on their attitudes toward the use of telemedicine services and to determine the mediating role of online privacy perception in this relationship. Methods Designed within a quantitative research approach, the...

ИНЖЕНЕРНАЯ АНТРОПОЛОГИЧЕСКАЯ БИОФИЗИКА, Некремниевый искусственный интеллект, Физико-математическая модель А-ОФС 1.0 «Цветок жизни» / Engineering Anthropological Biophysics, Non-Silicon Artificial intelligence, A-OFS 1.0 "Flower of Life"

ABSTRACT The present monographic study constitutes a fundamental, interdisciplinary oeuvre of the V. A. Alekseev, establishing the theoretical and instrumentation foundation for the next generation of non-silicon computing paradigms. The monograph unfolds a rigorously sequential, mathematically verified formulaic frame...

Artificial Intelligence and Machine Learning-Powered Labour Market Analytics

DIDACTIC MODEL FOR ORGANIZING PRACTICAL CLASSES IN SPECIALIZED SUBJECTS BASED ON "SMART AGRICULTURE"

The thesis proposes a didactic model for organizing practical classes in specialized subjects based on Smart Agriculture technologies at higher agricultural education institutions. The model is based on the sequence “Question — Data — Analysis — Decision — Presentation — Reflection.” Students work with real or simulate...

A Vision of the Future of "Collaborative Diplomacy" with AI: Perspectives from History, Brain Science, and Design in Japanese

Rapidly evolving artificial intelligence (AI) is transcending the role of a mere "convenient tool," beginning to demonstrate the potential for autonomous action, system hacking, and even the formation of independent agreements between agents. This paper defines AI as a form of "designer child"—created precisely accordi...

The Faustian Bargain Assessed by Artificial Intelligence From Mephistopheles and the Sale of the Soul to Algorithmic Power, Technological Temptation and the Moral Architecture of Human Civilisation

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...

EVALUATING POTABILITY OF GROUNDWATER USING AI-DRIVEN APPROACHES

Integrating artificial intelligence (AI) techniques into groundwater quality assessments is a pivotal step toward achieving water resource sustainability and ensuring its safety for human consumption. This is achieved by leveraging the advanced analytical capabilities of these technologies. Parameters such as pH, total...