Wyniki wyszukiwania - BazTech

1

Chatbot dedykowany do wsparcia eksploatacji małych i średnich oczyszczalni ścieków

Oktawiec Michał, Licznar Paweł, Chmielowski Krzysztof Jan, Chmielińska Barbara Elżbieta, Malik Robert, Hołowacz Łukasz, Osiński Andrzej, Birecki Rafał, Pilarczyk Grażyna, Lipiński Michał

Instal

|

2026

|

nr 2

44--50

PL

W pracy przedstawiono wyniki badań nad zastosowaniem technologii modeli językowych do budowy niskokosztowego chatbota, dedykowanego do wspomagania eksploatatorów małych i średnich oczyszczalni ścieków. Celem badań było przygotowanie narzędzia w postaci specjalistycznego chatbota przydatnego w codziennej pracy eksploatatora. Prototyp chatbota opracowano jako aplikację webową napisaną w języku JavaScript, z zaimplementowaną funkcjonalnością GPT-3.5-Turbo w języku Python. Lokalizacja chatbota dla wybranej oczyszczalni polegała na wczytaniu do modelu danych, takich jak np.: instrukcja eksploatacji oczyszczalni ścieków, dokumentacja techniczno-rozruchowa urządzeń oraz szeregi czasowe parametrów eksploatacyjnych, wyeksportowane uprzednio z systemu SCADA. Elementarną korzyścią wynikającą z implementacji chatbota był szybki dostęp do precyzyjnej informacji interesującej eksploatatora, zwłaszcza w sytuacjach awaryjnych. Ponadto chatbot wykazał duży potencjał w zakresie prezentacji danych gromadzonych w systemie SCADA, a także prowadzenia ich podstawowych analiz statystycznych.

EN

This paper presents the results of research on applying language model technologies to develop a low-cost chatbot to support operators of small- and medium-sized wastewater treatment plants. The aim of the study was to prepare a tool in the form of a specialized chatbot useful in the operator’s day-to-day work. A chatbot prototype was developed as a web application written in JavaScript, with GPT-3.5-Turbo functionality implemented in Python. Localization of the chatbot for a selected treatment plant involved loading the model with data such as the plant’s operation manual, technical and commissioning documentation of equipment, and time series of operational parameters previously exported from the SCADA system. The primary benefit of implementing the chatbot was rapid access to precise information relevant to the operator, especially in emergency situations. In addition, the chatbot demonstrated significant potential to present data collected from the SCADA system and to perform basic statistical analyses of these data.

2

Predictive algorithms for determining blowing pressure in a pipe organ

Węgrzyn Damian T., Wrzeciono Piotr, Wieczorkowska Alicja A.

Bulletin of the Polish Academy of Sciences. Technical Sciences

|

2026

|

Vol. 74, nr 1

art. no. e156771

EN

The reconstruction of a pipe organ involves determining the blowing pressure. The lack of information about the pressure value significantly prolongs the process of instrument restoration. In addition, it may even result in irreversible damage to the pipes, as the adjustment of the sound parameters that depend on the pressure requires changing the physical structure of the pipes. In this paper, we provide a methodology for determining the blowing pressure in a pipe organ. We also present a formula describing the air pressure in the pipe foot, depending only on the height of the pipe’s cut-up and the fundamental frequency. We apply machine learning to determine the blowing pressure, based on the parameters of only a percentage of pipes. Moreover, we use generative artificial intelligence, which achieves outstanding prediction accuracy. We conclude that the height of the cut-up and the fundamental frequency allow determining the blowing pressure. The more pipes, the higher the accuracy, but even 10% of pipes can be sufficient.

3

Human–AI co-creation in art, design and architecture education: a nature-inspired minimalist design approach

Yildiz Mehmet Akif, Avinç Güneş Mutlu

Budownictwo i Architektura

|

2026

|

Vol. 25, no. 2

art. no 26027

EN

The widespread use of AI technologies in education necessitates the development of new pedagogical approaches in creative disciplines. This study presents an innovative educational model for second-year students at the Faculty of Art, Design and Architecture to integrate generative artificial intelligence (GAI) tools into their creative design processes. Various text- and image-based generative artificial intelligence tools, such as DALL-E, Midjourney, ChatGPT, Gemini, Deep Dream Generator, Bing Image Creator, Stable Diffusion, Gencraft, and Adobe Firefly, were used in the course. Over a 14-week period, students developed nature-inspired minimalist designs through text-to-image (T2I) and image-to-image (I2I) generative models. The course structure offered a multi-stage learning experience, including the transmission of theoretical concepts, prompt engineering, conceptual analysis, visual production, and digital interpretation. The pre-test and post-test data showed significant improvements in students' knowledge and attitudes towards artificial intelligence tools. The practices carried out by interdisciplinary groups revealed that each department interprets AI differently, in line with its own aesthetic and production dynamics. In this context, the study proposes a unique and replicable teaching model that integrates generative artificial intelligence technologies with art and design education and strengthens the role of digital literacy in creative education.

4

Don’t write, manage! Researcher as manager of systematic literature review process in management

Tomczyk Przemysław

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

|

2025

|

z. 227

453--463

EN

Purpose: This article proposes a methodological procedure for integrating Generative Artificial Intelligence (GAI) into the process of preparing systematic literature reviews (SLRs) for management. It addresses a gap in the literature related to the researcher’s evolving role, from executors to managers, in AI-assisted academic writing. Design/methodology/approach: This study adopted a conceptual and methodological approach. Building on the literature on SLRs, process management, and AI, this study introduces a model in which the researcher manages the SLR process, supported by GAI tools such as ChatGPT, Elicit, and SciSpace. The model follows the sequential stages of SLRs and adapts each step to collaboration with AI. Findings: This article presents a detailed step-by-step framework, showing how GAI can support scoping review, research problem formulation, literature selection, data extraction, and synthesis. The study illustrates that GAI can improve efficiency, transparency, and accessibility, while emphasizing the critical role of the researcher in quality control and decision-making. Research limitations/implications: This study is methodological-conceptual, and does not empirically test the proposed framework. Future studies should validate its effectiveness in various academic disciplines and examine the ethical challenges related to AI-generated content, authorship, and academic integrity. Practical implications: The proposed model could serve as a practical guide for researchers and institutions seeking to integrate GAI into their research workflow. This may be particularly useful for early career scholars and non-native English speakers seeking support in literature review processes. Social implications: GAI may democratize access to academic publishing by simplifying complex systenatic literature review processes. However, it also raises societal questions about intellectual labor, transparency, and responsibility in scholarly communication. Originality/value: This article is among the first to conceptualize the researcher as a manager of AI-driven writing processes in SLRs. It provides an innovative, structured approach for integrating GAI into academic research and is relevant to management scholars and those interested in innovation in research methodology.

5

ChatGPT as a tool in higher education - analysis of student utilization and perception

Delińska Liwia, Minga Zuzanna

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

|

2025

|

z. 224

61--77

EN

Purpose: The purpose of this paper is to explore how students at the Faculty of Management at the University of Gdańsk use ChatGPT, a generative AI tool, for academic purposes. The study focuses on their motivations, perceptions, and overall attitudes toward the tool in the context of higher education. Design/methodology/approach: The research combines a literature review with empirical findings from a survey conducted among 260 students. This mixed-method approach allows for an in-depth analysis of how ChatGPT is applied in academic settings. Findings: The findings indicate that ChatGPT is widely used for tasks such as quick information retrieval, writing assistance, and idea refinement. Students primarily value its efficiency and the potential to improve the quality of their work. However, concerns were also raised regarding the reliability of content, and its possible negative impact on creativity and critical thinking. Research limitations/implications: The study is limited to one faculty and one institution, which may affect the generalizability of the findings. Future research should consider a broader sample across various academic disciplines and institutions. Practical implications: The results highlight the need for structured educational programs that support students in the responsible and ethical use of AI tools. Institutions of higher education could use these insights to develop policies and guidelines that foster thoughtful and informed integration of AI into academic practice. Social implications: This research contributes to the ongoing discussion about the societal impact of AI in education. By addressing students' concerns and behaviors, it encourages a more reflective approach to the use of generative AI and can inform future strategies for its ethical implementation. Originality/value: This paper offers a unique perspective on student interaction with generative AI, supported by empirical data. It adds value to the academic discourse by providing actionable insights for both researchers and practitioners interested in the evolving role of AI in higher education.

6

An algorithmic society and its impact on the competitiveness of organizations

Szajczyk Marek

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

|

2025

|

z. 220

389--400

EN

Purpose: This article aims to provide a deeper understanding of how algorithms influence competitive advantage, organizational decision-making, and potential ethical dilemmas. Design/methodology/approach: The primary research assumption is that the integration and use of algorithms significantly affect organizational competitiveness and communication. Algorithms offer opportunities for enhanced efficiency, improved decision-making, and product differentiation, but they also pose challenges related to transparency, organizational dynamics, and ethics. The central research question is: how do algorithms influence the creation and maintenance of competitive advantage, the dynamics of organizational communication, and decision-making processes within organizations? Findings: The research highlights differences in the adoption and use of algorithms (including artificial intelligence) across countries, identifies the most common application areas of generative AI in organizations, and examines cost reduction and revenue growth driven by GenAI implementation. Additionally, the study explores the level of personal understanding of GenAI and its perceived impact on business processes across various industries. Research limitations/implications: The study faces limitations in assessing the nuanced impact of algorithms on human interactions and in adapting findings to diverse industries. Practically, organizations must balance automation with human oversight to ensure ethical and effective decision-making. Navigating these dynamics is critical to fully leveraging the benefits of algorithms while addressing associated risks. Originality/value: This research provides a comprehensive exploration of how algorithms shape organizational dynamics and competitiveness. It offers practical insights into the diverse applications of algorithms and highlights challenges such as transparency and communication dynamics posed by AI integration. By bridging theoretical perspectives with practical implications, the study delivers valuable guidance for organizations adapting to the transformative impact of AI.

7

Generatywna sztuczna inteligencja a studiowanie teleinformatyki

Janicki Artur

Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne

|

2025

|

nr 4

37--41

PL

Niniejszy referat prezentuje wybrane korzyści i zagrożenia płynące z korzystania z metod generatywnej sztucznej inteligencji (GenAI) przez studentów na kierunkach teleinformatycznych i pokrewnych. Przedstawiono najczęstsze zastosowania metod GenAI przez studentów, a także zagrożenia płynące z nadużywania narzędzi GenAI podczas studiowania. Zaprezentowano także fragmenty wyników prac projektu ANANAS, którego celem jest ułatwienie analizy dokumentów pod kątem wykrywania tekstów generowanych przez GenAI.

EN

This paper presents selected benefits and risks of using generative artificial intelligence (GenAI) methods by students of information and communication technology and related fields. It presents the most common applications of GenAI methods by students, as well as the risks of overusing GenAI tools during studies. It also presents fragments of the results of the ANANAS project, which aims to facilitate document analysis in terms of detecting texts generated by GenAI.

8

Generative artificial intelligence in architectural education: a study of the use of diffusion models in conceptual design

Nazar Krzysztof

Kwartalnik Architektury i Urbanistyki

|

2025

|

T. 70, z. 3

39--52

EN

This article presents a study of the application of generative artificial intelligence (AI) in the early architectural design phase. Its purpose is to verify whether these tools speed up the development of a concept and how to increase control through simple parametric models and a clearly defined decision loop including a human. The study was based on a course taught at the Faculty of Architecture of the Warsaw University of Technology by a team of teachers from the Chair of Architectural Design and the Department of Pro-Environmental Design. The course was attended by 62 students in 25 teams. The course was divided into four blocks (type exploration and visualisation, automation of functional layout generation, insolation analysis and life cycle assessment) - the first of these is described in detail in this article. The course combined parametric modelling with a text- and image-driven image generator. The results of student surveys conducted at the end of the course indicate that AI was useful at the concept stage for 88% of them; the main barriers were limited predictability, repeatability and hardware requirements. The best results were produced by a combination of a clearly defined designer’s intention with a simple 3D model and a critical selection of results. The course authors recommend integrating AI into the curriculum as a way to learn to work with the process (formulating criteria, controlling the course, evaluating the results), rather than only operating result-focused tools.

9

Contemporary approaches to integrating AI agents into library information processes

Sokil Mariia, Andrukhiv Andriy

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska

|

2025

|

T. 15, nr 3

110--116

EN

The work aims to investigate the possibility of using software agents based on artificial intelligence to optimize the information process in libraries. Modern libraries, especially academic ones, act as resource centers for providing scientific and educational information for the scholarly community. However, the library's activities are not only about serving users and satisfying their information needs. Numerous internal processes are not visible to the average person. User. Despite providing libraries with information systems that support their activities, libraries must keep pace with modern technologies and strive to optimize and transform their activities in accordance with the conditions of modernity, as well as the information needs of users. One of the most modern technologies is the production of various kinds of tools combined with the work of artificial intelligence. Since much research has been conducted on the possibility of using AI in different fields, the library industry is no exception. The paper considers the possibility of applying AI-based agents to the ability to process and optimize processes related to information processing in libraries. The paper analyzes the capabilities of software agents based on AI, such as AutoGPT, AgentGPT, MiniAGI, SuperAGI, and natural language processing, for use in the library. The main attention is paid to analyzing the main areas, such as cataloging and book-buying recommendations. The paper proposes new approaches to optimizing information processes in libraries with the help of intelligent agents, emphasizing their potential to increase the productivity and quality of library services.

PL

Praca ma na celu zbadanie możliwości wykorzystania agentów programowych opartych na sztucznej inteligencji do optymalizacji procesu informacyjnego w bibliotekach. Nowoczesne biblioteki, zwłaszcza akademickie, pełnią rolę centrów zasobów dostarczających informacje naukowe i edukacyjne społeczności naukowej. Jednak działalność biblioteki nie ogranicza się wyłącznie do obsługi użytkowników i zaspokajania ich potrzeb informacyjnych. Wiele procesów wewnętrznych nie jest widocznych dla przeciętnego użytkownika. Pomimo wyposażenia bibliotek w systemy informatyczne wspierające ich działalność, biblioteki muszą nadążać za nowoczesnymi technologiami i dążyć do optymalizacji i transformacji swojej działalności zgodnie z warunkami współczesności, a także potrzebami informacyjnymi użytkowników. Jedną z najnowocześniejszych technologii jest produkcja różnego rodzaju narzędzi połączonych z działaniem sztucznej inteligencji. Ponieważ przeprowadzono wiele badań dotyczących możliwości wykorzystania sztucznej inteligencji w różnych dziedzinach, branża biblioteczna nie jest tu wyjątkiem. W artykule rozważono możliwość zastosowania agentów opartych na sztucznej inteligencji do przetwarzania i optymalizacji procesów związanych z przetwarzaniem informacji w bibliotekach. W artykule przeanalizowano możliwości agentów oprogramowania opartych na sztucznej inteligencji, takich jak AutoGPT, AgentGPT, MiniAGI, SuperAGI i przetwarzanie języka naturalnego, do wykorzystania w bibliotece. Główna uwaga poświęcona jest analizie głównych obszarów, takich jak katalogowanie i rekomendacje dotyczące zakupu książek. W artykule zaproponowano nowe podejścia do optymalizacji procesów informacyjnych w bibliotekach za pomocą inteligentnych agentów, podkreślając ich potencjał w zakresie zwiększenia wydajności i jakości usług bibliotecznych.

10

Generative artificial intelligence-driven medical digital twin technologies in blockchain Internet of Things wearable sensor and computer vision-based extended reality healthcare metaverse

Lăzăroiu George, Gedeon Tom, Halicka Katarzyna, Szpilko Danuta

Engineering Management in Production and Services

|

2025

|

Vol. 17, no. 3

27--50

EN

The research problem of this paper was whether medical image, behavioral pattern, and physiological data analysis further artificial intelligence-based disease progression prediction, big medical data analysis and processing, and treatment planning optimization, digital twin- and generative artificial intelligence-based disease progression prediction and medical process simulation, patient outcome and pathological condition improvement, and medical service efficiency and resource allocation. We show that physiological measurement indicator modeling and simulation and patient diagnosis and clinical workflow optimization necessitate generative artificial intelligence- and machine learning-based metaverse wearable and implantable medical devices. Our analyses debate on medical metaverse digital twin generative artificial intelligence and machine learning-based big clinical and medical imaging data interoperability and analysis harnessed in remote medical treatment and healthcare practices, healthcare delivery and patient outcome enhancement, real-time medical anomaly detection, timely medical treatment and response prediction, and immersive medical procedure and healthcare delivery simulation in blockchain Internet of Things wearable sensor and computer vision-based extended reality healthcare metaverse. Our results and contributions clarify that clinical decision support systems and generative artificial intelligence-based patient medical disease and health data processing and analysis configure clinical patient care and outcome prediction, health risk forecasting, medical abnormality detection, and remote patient vital sign and health issue monitoring.

11

Using Midjourney artificial intelligence for the development of media content in the professional training process of future journalists

Kravchenko Dmytro, Alieksieieva Hanna, Nestorenko Oleksandr, Matviichuk-Yudina Olena, Horbatiuk Larysa

Zeszyty Naukowe Wyższej Szkoły Technicznej w Katowicach

|

2024

|

T. 19

199--212

EN

The aim of the study is to determine the potential for using generative artificial intelligence, particularly Midjourney software, in creating visual content for sports publications and its application in the professional training of journalists. The use of generative artificial intelligence in journalism opens new possibilities for enhancing the quality and efficiency of visual content creation, making sports publications more attractive to readers and increasing audience engagement. The research methods include literature analysis, a review of the practices of generative artificial intelligence applications in the media sphere, and a practical experiment using Midjourney to create illustrations for the football magazine “A Bit of Foot, A Bit of Ball” (Ukraine). The literature review identified key trends and challenges in the implementation of artificial intelligence in journalism, while the practical experiment allowed an assessment of Midjourney’s effectiveness in creating visual content that meets the standards of modern media and audience expectations. Additionally, an evaluation was conducted on the user-friendliness of this software for journalists, particularly for students who are just beginning their professional careers. The study results showed that using Midjourney improves the quality of visual content, reduces the time needed for its creation, and increases reader engagement. The application of this technology fosters the development of creative skills in future journalists, which is essential for their professional training. The use of generative artificial intelligence enables the creation of unique materials, ensuring originality for publications. The conclusions emphasize the importance of integrating generative artificial intelligence into the training process for journalists to enhance their competitiveness in the job market. The use of Midjourney helps students develop skills in visual communication, creativity, and working with innovative technologies, which are crucial for the modern media environment

PL

Celem badania jest określenie potencjału wykorzystania generatywnej sztucznej inteligencji, w szczególności oprogramowania Midjourney, w tworzeniu treści wizualnych dla publikacji sportowych oraz jego zastosowania w procesie profesjonalnego kształcenia dziennikarzy. Wykorzystanie generatywnej sztucznej inteligencji w dziennikarstwie otwiera nowe możliwości poprawy jakości i efektywności tworzenia treści wizualnych, co sprawia, że publikacje sportowe stają się bardziej atrakcyjne dla czytelników i zwiększają zaangażowanie odbiorców. Metody badawcze obejmują analizę literatury, przegląd praktyk zastosowania generatywnej sztucznej inteligencji w sferze mediów, a także eksperyment praktyczny, z wykorzystaniem Midjourney do tworzenia ilustracji w ramach magazynu piłkarskiego „Trochę w nogę, trochę w piłkę” (Ukraina). Przegląd literatury wskazał główne trendy i wyzwania związane z wdrażaniem sztucznej inteligencji w dziennikarstwie, a eksperyment praktyczny pozwolił ocenić skuteczność Midjourney w tworzeniu treści wizualnych, które spełniają wymagania współczesnych mediów i oczekiwania odbiorców. Ponadto, dokonano oceny łatwości użytkowania tego oprogramowania przez dziennikarzy, w tym studentów, którzy dopiero rozpoczynają swoją działalność zawodową. Wyniki badania pokazały, że wykorzystanie Midjourney pozwala poprawić jakość treści wizualnych, skrócić czas ich tworzenia i zwiększyć zaangażowanie czytelników. Zastosowanie tej technologii wspiera rozwój kreatywnych umiejętności przyszłych dziennikarzy, co jest istotne dla ich profesjonalnego przygotowania. Wykorzystanie generatywnej sztucznej inteligencji umożliwia tworzenie unikalnych materiałów, co zapewnia oryginalność publikacji. Wnioski podkreślają znaczenie integracji generatywnej sztucznej inteligencji w procesie kształcenia dziennikarzy, aby zwiększyć ich konkurencyjność na rynku pracy. Wykorzystanie Midjourney pomaga studentom rozwijać umiejętności komunikacji wizualnej, kreatywność oraz zdolność do pracy z innowacyjnymi technologiami, co jest kluczowe dla współczesnego środowiska medialnego.

12

Jobs Exposure to Generative AI: Ongoing Study by NASK-PIB and ILO

Troszyński Marek

Applied Cybersecurity & Internet Governance

|

2024

|

Vol. 3, No. 2

322--327

EN

The rapid advancement of artificial intelligence (AI), including generative AI (GenAI), raises important questions about its impact on the labour market and employment structure. This study examines the extent to which various occupations are exposed to GenAI by developing an index to identify potential shifts in the nature of work. The analysis focuses on specific occupational tasks that may be affected to varying degrees by the proliferation of AI tools. The study categorises occupations into four groups: susceptible to automation (Automation potential), subject to augmentation by GenAI (Augmentation potential), characterised by significant uncertainty (Big unknown), and not susceptible to technological change (Not affected). The research was conducted in three stages: assessing occupational exposure, verifying findings with expert analysis, and extrapolating results to 30,000 tasks across 2,500 occupations, with the support of ChatGPT-4. The findings enable estimates of the occupational groups most “at risk” from GenAI and contribute to macroeconomic forecasts for the Polish labour market.

13

Zaawansowana sztuczna inteligencja w aplikacjach przemysłowych

Dozór Techniczny

|

2023

|

z. 5

16--17

PL

Czy wkrótce nie tylko specjaliści będą w stanie serwisować specjalistyczne, przemysłowe urządzenia? Firma ABB i Microsoft pracują nad wdrożeniem generatywnej sztucznej inteligencji (GenAI) do przemysłu, która usprawni analizę danych i pomoże podjąć właściwą decyzję zapobiegającą awarii urządzeń.