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Wyświetlanie 1-25 z 1772
Tytuł:
The road to conscious machines: AI through failed ideas
Autorzy:
Krzanowski, Roman
Powiązania:
https://bibliotekanauki.pl/articles/1943050.pdf
Data publikacji:
2021-11-07
Wydawca:
Copernicus Center Press
Tematy:
artificial intelligence
history of artificial intelligence
artificial intelligence paradigms
future of artificial intelligence
Opis:
Presented here is a review of the book by Michael Wooldridge The Road to Conscious Machines: The Story of AI. The book was published in 2021 by Pelican Publishing Company. The book presents a philosophical exploration of the AI-related quest to understand the essence of our minds, ethics, and consciousness. Nonetheless, the book is unconventional as it focuses on failures of past AI programs rather than on AI success stories. The author also indicates the possible pathways to develop new, more efficient AI paradigms. The short technical section at the end of the book offers more in-depth information on topics like Prolog, Bayesian, and deep neural networks.
Źródło:
Zagadnienia Filozoficzne w Nauce; 2021, 70; 171-181
0867-8286
2451-0602
Pojawia się w:
Zagadnienia Filozoficzne w Nauce
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Jeszcze raz o ucieleśnionej sztucznej inteligencji
Embodied artificial intelligence once again
Autorzy:
Sarosiek, Anna
Powiązania:
https://bibliotekanauki.pl/articles/690932.pdf
Data publikacji:
2017
Wydawca:
Copernicus Center Press
Tematy:
artificial intelligence
good old-fashioned artificial intelligence
embodied artificial intelligence
embodied mind
Opis:
Book review of: Vincent C. Müller (ed.), Fundamental issues of artificial intelligence, Springer International Publishing AG, 2016, pp. 570.
Recenzja książki: Vincent C. Müller (red.), Fundamental issues of artificial intelligence, Springer International Publishing AG, 2016, ss. 570.
Źródło:
Zagadnienia Filozoficzne w Nauce; 2017, 63; 231-240
0867-8286
2451-0602
Pojawia się w:
Zagadnienia Filozoficzne w Nauce
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ways of optimization of breeding conditions of fish by using artificial spawning grounds
Autorzy:
Marenkov, Oleh
Fedonenko, Olena
Powiązania:
https://bibliotekanauki.pl/articles/1182952.pdf
Data publikacji:
2016
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
fish
spawning
artificial spawning ground
artificial reefs
spawning nests
Opis:
The monograph presents ways of optimization of the reproduction of fish fauna due to the use of artificial spawning nests. There is classification of fish by nature, terms and conditions of the spawning course. Spawning nests divided according to the nature of fish spawning. There is given characteristic with describing and depicting of spawning grounds designs. It is indicated what species of fish and in what waters they can be used and also the efficiency and cost of their creation, use and maintenance. The book is intended for specialists in the field of ichthyology, ecology, hydrobiology, fisheries, public organizations activists, students and graduate students of higher educational institutions in "Biology" and "Water Biological resources".
Źródło:
World Scientific News; 2016, 49, 1; 1-58
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial Intelligence: opportunities and concerns in the era of Big Data. Ethical and practical issues with decision-making and Generative AI in the era of ChatGPT
Sztuczna inteligencja: możliwości i obawy w erze Big Data. Etyczne i praktyczne kwestie związane z podejmowaniem decyzji i generatywną sztuczną inteligencją w erze ChatGPT
Autorzy:
Varvarà, Giulia
Powiązania:
https://bibliotekanauki.pl/articles/32388079.pdf
Data publikacji:
2023
Wydawca:
Fundacja PSC
Tematy:
Artificial intelligence
Ethics
Generative artificial intelligence
Data-driven decisions
Opis:
Artificial Intelligence has made impressive progress in the past few decades, and, especially in the last couple of years, so many different systems able to simulate human response in a very realistic and coherent way have been made available to the general public. This has opened the road to new possibilities for the use of AI in a variety of contexts, starting from the use of generative AI to the shortening of otherwise long working tasks (such as programming). However, it also created unforeseen issues that have yet to be addressed, since there is a lack of legal and ethical guidelines for the use of these new AI tools. This article analyses some of the most controversial applications of these new AI systems, highlighting both problems and ethical concerns, as well as the possible ways in which they can be dealt with in the future.
Źródło:
Alcumena. Pismo Interdyscyplinarne; 2023, 2(14); 85-100
2719-9851
Pojawia się w:
Alcumena. Pismo Interdyscyplinarne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Research and applications of artificial neural networks in spatial analysis: Review
Autorzy:
Garczyńska, Ilona
Powiązania:
https://bibliotekanauki.pl/articles/29521035.pdf
Data publikacji:
2023
Wydawca:
Akademia Morska w Szczecinie. Wydawnictwo AMSz
Tematy:
spatial analysis
GIS
artificial neural network
artificial intelligence
geosciences
Opis:
The conducted review presents the possibility of using artificial neural networks in sectors related to environmental protection, agriculture, forestry, land uses, groundwater and bathymetric. Today there is a lot of research in these areas with different research methodologies. The result is the improvement of decision-making processes, design, and prediction of certain events that, with appropriate intervention, can prevent severe consequences for society. The review shows the capabilities to optimize and automate the processes of modeling urban and land dynamics. It examines the forecasts of assessment of the damage caused by natural phenomena. Detection of environmental changes via the analysis of certain time intervals and classification of objects on the basis of different images is presented. The practical aspects of this work include the ability to choose the correct artificial neural network model depending on the complexity of the problem. This factor is a novel element since previously reviewed articles did not encounter a study of the correlation between the chosen model or algorithm, depending on the use case or area of the problem. This article seeks to outline the reason for the interest in artificial intelligence. Its purpose is to find answers to the following questions: How can artificial neural networks be used for spatial analysis? What does the implementation of detailed algorithms depend on? It is proved that an artificial intelligence approach can be an effective and powerful tool in various domains where spatial aspects are important.
Źródło:
Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2023, 74 (146); 35-45
1733-8670
2392-0378
Pojawia się w:
Zeszyty Naukowe Akademii Morskiej w Szczecinie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Potential and use of the googlenet ann for the purposes of inland water ships classification
Autorzy:
Bobkowska, Katarzyna
Bodus-Olkowska, Izabela
Powiązania:
https://bibliotekanauki.pl/articles/1573774.pdf
Data publikacji:
2020
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
ship classification
image classification
geoinformatics
artificial intelligence
artificial neural network
Opis:
This article presents an analysis of the possibilities of using the pre-degraded GoogLeNet artificial neural network to classify inland vessels. Inland water authorities monitor the intensity of the vessels via CCTV. Such classification seems to be an improvement in their statutory tasks. The automatic classification of the inland vessels from video recording is a one of the main objectives of the Automatic Ship Recognition and Identification (SHREC) project. The image repository for the training purposes consists about 6,000 images of different categories of the vessels. Some images were gathered from internet websites, and some were collected by the project’s video cameras. The GoogLeNet network was trained and tested using 11 variants. These variants assumed modifications of image sets representing (e.g., change in the number of classes, change of class types, initial reconstruction of images, removal of images of insufficient quality). The final result of the classification quality was 83.6%. The newly obtained neural network can be an extension and a component of a comprehensive geoinformatics system for vessel recognition.
Źródło:
Polish Maritime Research; 2020, 4; 170-178
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wyzwania związane z tworzeniem etyki typu data driven dla maszyn typu artificial general inteligence (AGI)
Challenges in developing data-driven ethics for artificial general intelligence machines (AGI)
Autorzy:
Sołoducha, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/51473201.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet Komisji Edukacji Narodowej w Krakowie. Instytut Filozofii i Socjologii
Tematy:
general artificial intelligence ethics
active trust in artificial intelligence
model for building artificial intelligence ethics
hybrid approach to artificial intelligence ethics
ethical testing process
Opis:
One of the biggest challenges in creating systems of AGI (artificial general intelligence) type is the question of the method for developing decision-making patterns for such machines operating in autonomous mode. The need to build active trust in their functioning forces an ART (accountability, responsibility, transparency) approach, which prefers bottom–up methods in ethics. On the other hand, such descriptive methods expose culturally conditioned, non-egalitarian patterns of behaviour that may be morally objectionable and rather indicate the need to use a top–down approach that applies normative ethical expectations. The paper examines the challenges of using both methods and outlines the need to develop a hybrid approach. The correct functioning of machines using such a hybrid system should be examinated by using an ethical testing process — at the level of output signal. At the end of the paper we present some philosophical assumptions that should be taken into account in the construction of such an ethical test.
Źródło:
ARGUMENT: Biannual Philosophical Journal; 2023, 13, 1; 109-122
2083-6635
2084-1043
Pojawia się w:
ARGUMENT: Biannual Philosophical Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Świat pod lupą fenomenologa
The world under the microscope of a phenomenologist
Autorzy:
Psica, Sylwia
Powiązania:
https://bibliotekanauki.pl/articles/690930.pdf
Data publikacji:
2017
Wydawca:
Copernicus Center Press
Tematy:
phenomenology
artificial intelligence
Opis:
Book review of: Aleksandra K. Przegalińska, Istoty wirtualne. Jak fenomenologia zmieniła sztuczną inteligencję, Wydawnictwo Universitas, Kraków 2016, ss. 268.
Recenzja książki: Aleksandra K. Przegalińska, Istoty wirtualne. Jak fenomenologia zmieniła sztuczną inteligencję, Wydawnictwo Universitas, Kraków 2016, ss. 268.
Źródło:
Zagadnienia Filozoficzne w Nauce; 2017, 63; 241-248
0867-8286
2451-0602
Pojawia się w:
Zagadnienia Filozoficzne w Nauce
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The survey of soft computing techniques for reliability prediction
Autorzy:
Smoczek, J.
Powiązania:
https://bibliotekanauki.pl/articles/246835.pdf
Data publikacji:
2012
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
reliability prediction
artificial intelligence
fuzzy logic
artificial neural network
genetic algorithm
Opis:
The objective of reliability prediction is to estimate a time of upcoming nonoperational state at the current operational state of a system through real-time monitoring operational parameters and/or performances. Hence, the predictive (proactive) maintenance in industrial systems involves operational conditions monitoring and online forecasting the useful life of machines equipment to support the decision-making process in selection of the best maintenance action to be carried out. The advanced warning of the failure possibility can bring the attention of machines operators and maintenance personnel to impending danger, and facilitate planning preventive and corrective operations, as well as inventory managing. This problem has been extensively studied in many scientific works, where the predictive models are based on the data-driven approaches that can be generally divided into statistical techniques (regression, ARMA models, Bayesian probability distribution estimation, etc.), grey system theory, and soft computing methods. The artificial intelligence is frequently addressed to the predictive problem by utilizing the learning capability of artificial neural network (ANN), and possibility of nonlinear mapping using fuzzy rules-based system (FRBS) or recognizing and optimizing data-derived pattern by using evolutionary algorithms. The paper is a survey of intelligent methods for failure prediction, and delivers the review of examples of scientific works presenting the computational intelligence-based approaches to predictive problem.
Źródło:
Journal of KONES; 2012, 19, 3; 407-414
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Selecting Generators for Creating Real Valued Detectors in Ship Immune System
Autorzy:
Praczyk, T.
Powiązania:
https://bibliotekanauki.pl/articles/320829.pdf
Data publikacji:
2010
Wydawca:
Polskie Forum Nawigacyjne
Tematy:
identification
artificial immune system
Opis:
The task of the ship immune system is to differentiate self objects, i.e. objects that are not dangerous to our ship, from other objects that can be a potential threat. To perform the task the system makes use of a set of detectors. The detectors imitate signatures of non-self objects and they are generated at random. In order for the detectors to be able to effectively perform their task they have to be constructed in appropriate way. Since, random generators are used to form detectors the problem is to select a generator producing the most effective detectors. In order to select an appropriate generator, experiments were carried out. In the experiments, the task of the ship immune system was to differentiate self and non-self ship radio stations. Results of the experiments are presented at the end of the paper.
Źródło:
Annual of Navigation; 2010, 16; 99-108
1640-8632
Pojawia się w:
Annual of Navigation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mobile robot navigation with the use of semantic map constructed from 3D laser range scans
Autorzy:
Siemiątkowska, B.
Szklarski, J.
Gnatowski, M.
Powiązania:
https://bibliotekanauki.pl/articles/206413.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
artificial intelligence
robotics
mapping
Opis:
We describe a system allowing a mobile robot equipped with a 3D laser range finder to navigate in the indoor and outdoor environment. A global map of the environment is constructed, and the particle filter algorithm is used in order to accurately determine the position of the robot. Based on data from the laser only, the robot is able to recognize certain classes of objects like a floor, a door, a washbasin, or a wastebasket, and places like corridors or rooms. For complex objects, the recognition process is based on the Haar feature identification. When an object is detected and identified, its position is associated with the appropriate place in the global map, making it possible to give orders to the robot with the use of semantic labels, e.g., "go to the nearest wastebasket ". The obstaclefree path is generated using a Cellular Neural Network, accounting for travel costs with distance or ground quality. This path planning method is fast and in comparison with the potential field method it does not suffer from the local minima problem. We present some results of experiments performed in a real indoor environment.
Źródło:
Control and Cybernetics; 2011, 40, 2; 437-453
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial Intelligence in science and everyday life, its application and development prospects
Autorzy:
Słapczyński, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/19233635.pdf
Data publikacji:
2022-12-30
Wydawca:
Wyższa Szkoła Finansów i Prawa w Bielsku-Białej
Tematy:
Artificial Intelligence application
Rules of Artificial Intelligence
Artificial Intelligence programming
AI in business
AI in law
AI in Politics
Opis:
The main purpose of the article is to determine the impact of artificial intelligence on society and industry. What role the development of this technology will play on the economy and society in the future. The question should be asked: how will artificial intelligence affect society and what will be the effects of its increasingly widespread use and whether it poses any threats. The main methods used in the article are the analysis of scientific literature, synthesis of collected facts and knowledge obtained from official data, e.g. documentation of programming languages. The main conclusions from the paper is the growing importance of AI for society and its development, which will affect into various areas of life.
Źródło:
Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej; 2022, 26, 4; 78-85
2543-9103
2543-411X
Pojawia się w:
Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Acciones para combatir el impacto del crimen en el ciberespacio. Prevención y detección con la Inteligencia Artificial
Actions to combat the impact of crime in cyberspace. Prevention and detection with Artificial Intelligence
Autorzy:
Guzmán, Silvia Irene Verdugo
Casteleiro, Ana Ochoa
Powiązania:
https://bibliotekanauki.pl/articles/2158851.pdf
Data publikacji:
2022
Wydawca:
Krakowska Akademia im. Andrzeja Frycza Modrzewskiego
Tematy:
artificial intelligence
darknet
cibercrime
hacker
cibersecurity
inteligencia artificial
internet oscura
cibercrimen
ciberdelincuente
ciberseguridad
Opis:
Los últimos dos siglos hemos visto nuevos tipos de delitos que han pasado a un primer plano, y que los delitos tradicionales han adoptado diferentes formas o un alcance completamente nuevo, especialmente digital. La especificidad de distintos ciberdelitos se encuentra en la internet profunda o Darknet, tales como el fraude informático, los ataques informáticos, abuso sexual y la explotación sexual de niños a través de sistemas informáticos etc. La aparición del nuevo coronavirus SARS-CoV-2 a fines del 2019 y la pandemia declarada por COVID-19 causada por el virus a comienzos del 2020, han servido para subrayar la importancia del combate al cibercrimen. La denuncia e investigación de delitos es crucial para las unidades policiales y las partes interesadas en la comprensión y análisis del ciberdelito. Entonces, gracias al desarrollo de la Inteligencia Artificial (I.A) y la recopilación de datos estadísticos son utilizados para realizar evaluaciones de delitos, castigos o sanciones, e identificar a las personas investigadas o perseguidas. La construcción de la cooperación en I.A con las partes interesadas en todo el sector público, la industria, la academia, así como las entidades de seguridad relacionadas, agencias de inteligencia etc., es un próximo paso esencial. También, cabe referirse a la ciberseguridad, que juega un papel importante en la defensa de las personas, de empresas e infraestructuras. Los proveedores de seguridad digital se enfocan en usuarios, dispositivos, redes, datos, aplicaciones o empresas para brindar soluciones con el fin de detectar y responder ante una amenaza cibernética.
Over the past two centuries, we have seen emerging types of crimes coming to the fore and traditional crimes taking on different forms or an entirely new scope altogether. Specificity of various cybercrimes are on the darknet, how computer fraud, computer attacks, the sexual abuse and sexual explotation of children through computer systems, etc. The emergence of the novel SARS-CoV-2 coronavirus in late 2019 and the ongoing COVID-19 pandemic caused by the virus on 2020, has served to underscore the importance of combat to cibercrime. The reporting and research of crimes is crucial for police units and stakeholders in understanding and analysis cybercrime. So, the I.A and collection of stadistical data information are used to evaluations of crime, punishments or sanctions and identifying the people investigated or persecuted. Building cooperation on I.A with stakeholders throughout the public sector, industry, academia, as well as related security entities, intelligence agencies and so on, is an essential next step. Also, the cybersecurity plays an important role in defending individuals, industry and infrastructure. Security vendors focus on users, network, data, application or entire enterprises to provide solutions to detect and respond to cyber threats.
Źródło:
Studia Prawnicze: rozprawy i materiały; 2022, (30), 1; 15-24
1689-8052
2451-0807
Pojawia się w:
Studia Prawnicze: rozprawy i materiały
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The study of colour changes under artificial weathering of light red meranti and yellow balau wood from Shorea genus
Autorzy:
Jankowska, Agnieszka
Powiązania:
https://bibliotekanauki.pl/articles/2200139.pdf
Data publikacji:
2020
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
artificial aging
artificial weathering
light red meranti
yellow balau
tropical wood
colour stability
Opis:
The study of colour changes under artificial weathering of light red meranti and yellow balau wood from Shorea genus. This paper deals with the change in colour of selected tropical wood species from Shorea genus such as light red meranti and yellow balau. The artificial weathering method was used to determine the colour stability of wood surface. The used ageing method consisted of alternating soaking wood in water, drying at a temperature of 70°C and UV irradiation exposure. The colour changes were evaluated using CIE L*C*h system. Changes of particular colour parameters (lightness L*, chroma C*, hue h) were determine as well as the total colour change ΔE*. The results showed that tested species of wood change their colour similarly under the influence of the artificial weathering (the changes in the tested wood appearance occurred in similar scope). Surfaces of tested wood species initially became darker and then lighter. The largest changes in intensity of the colour of wood took place at the beginning of artificial weathering process. The intensity of changes decreased with the progress of aging process.
Badanie zmian barwy drewna meranti różowego i balau jasnego z rodzaju Shorea. Niniejszy artykuł dotyczy zmiany barwy dwóch gatunków drewna tropikalnego z rodzaju Shorea, takich jak meranti różowego i balau jasnego. Do określenia stabilności barwy powierzchni drewna zastosowano metodę sztucznego starzenia, która polegała na naprzemiennym moczeniu drewna w wodzie, suszeniu w temperaturze 70°C i ekspozycji na promieniowanie UV. Przeprowadzono 60 cykli sztucznego starzenia. Zmiany barwy oceniono za pomocą systemu CIE L*C*h. Określono zmiany poszczególnych parametrów barwy (jasność L*, barwa C*, odcień h), a także całkowitą zmianę barwy ΔE*. Wyniki przeprowadzonych badań pozwalają na stwierdzenie, że barwa badanego drewna zmienia się podobnie (zmiany występowały w podobnym zakresie). Powierzchnie badanych gatunków drewna początkowo stały się ciemniejsze, a następnie jaśniejsze. Największe zmiany w intensywności barwy drewna miały miejsce na początku procesu sztucznego starzenia. W trakcie jego trwania intensywność zmian malała.
Źródło:
Annals of Warsaw University of Life Sciences - SGGW. Forestry and Wood Technology; 2020, 111; 37--42
1898-5912
Pojawia się w:
Annals of Warsaw University of Life Sciences - SGGW. Forestry and Wood Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparison of data mining techniques to predict and map the Atterberg limits in central plateau of Iran
Autorzy:
Amin, Peyman
Taghizadeh-Mehrjardi, Ruhollah
Akbarzadeh, Ali
Shirmardi, Mostafa
Powiązania:
https://bibliotekanauki.pl/articles/762833.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:
Atterberg limits, artificial bee colony, artificial neural networks, support vector machine, regression tree
Opis:
The Atterberg limits display soil mechanical behavior and, therefore, can be so important for topics related to soil management. The aim of the research was to investigate the spatial variability of the Atterberg limits using three most common digital soil-mapping techniques, the pool of easy-to-obtain environmental variables and 85 soil samples in central Iran. The results showed that the maximum amount of liquid limit (LL) and plastic limit (PL) were obtained in the central, eastern and southeastern parts of the study area where the soil textural classes were loam and clay loam. The minimum amount of LL and PL were related to the northwestern parts of the study area, adjacent to the mountain regions, where the samples had high levels of sand content (>80%). The ranges of plasticity index (PI) in the study area were obtained between 0.01 to 4%. According to the leave-in-out cross-validation method, it should be highlighted the combination of artifiial bee colony algorithm (ABC) and artifiial neural network (ANN) techniques were the best model to predict the Atterberg limits in the study area, compared to the support vector machine and regression tree model. For instance, ABC-ANN could predict PI with RMSE, R2 and ME of 0.23, 0.91 and -0.03, respectively. Our fiding generally indicated that the proposed method can explain the most of variations of the Atterberg limits in the study area, and it could berecommended, therefore, as an indirect approach to assess soil mechanical properties in the arid regions, where the soil survey/sampling is difficult to undertake.
Źródło:
Polish Journal of Soil Science; 2018, 51, 2
0079-2985
Pojawia się w:
Polish Journal of Soil Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wykorzystanie techniki AdaBoost w modelach opartych na regresji z wykorzystaniem sztucznej inteligencji
Use of AdaBoost technique in regression based models using artificial intelligence
Autorzy:
Wołoszyn, Jacek
Powiązania:
https://bibliotekanauki.pl/articles/445996.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Rzeszowski
Tematy:
AdaBoost
sztuczna inteligencja
artificial intelligence
Opis:
Artykuł opisuje wykorzystanie sztucznej inteligencji w obliczeniach regresyjnych. Modele zbudowane w sposób tradycyjny oparte na klasycznych założeniach dostarczają możliwie precy-zyjnych informacji. Sam proces budowy modelu opiera się na wstępnym wyborze zmiennych wykorzystanych do jego tworzenia. Umiejętna selekcja zmiennych ma istotny wpływ na uzyskane parametry. Wykorzystując rozwiązanie przedstawione w tej pracy otrzymujemy model ze wstępnie dobranym optymalnym zbiorem treningowym. W kolejnych rozdziałach omówiono istotę analityki predykcyjnej, proces uczenia maszyno-wego, budowę drzewa decyzyjnego, pokazano przykład regresji wykorzystującego AdaBoost.
This article describes the use of artificial intelligence in regression calculations. Models built in a traditional manner based on classical assumptions provide the most precise information possi-ble. The model building process itself is based on the initial selection of variables used to create it. Skillful selection of variables has a significant impact on the obtained parameters. Using the solu-tion presented in this work, we get a model with a pre-selected optimal training set. The following chapters discuss the essence of predictive analytics, the machine learning pro-cess, the construction of a decision tree, an example of regression using AdaBoost.
Źródło:
Dydaktyka informatyki; 2019, 14; 162-169
2083-3156
Pojawia się w:
Dydaktyka informatyki
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Parallel implementation of neural networks with the use of GPGPU technology OpenCL
Autorzy:
Kłyś, M.
Szymczyk, M.
Szymczyk, P.
Gajer, M.
Powiązania:
https://bibliotekanauki.pl/articles/114679.pdf
Data publikacji:
2015
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
OpenCL
Artificial Neural Networks
GPGPU
Opis:
The article discusses possibilities of implementing a neural network in a parallel way. The issues of implementation are illustrated with the example of the non-linear neural network. Parallel implementation of earlier mentioned neural network is written with the use of OpenCL library, which is a representative of software supporting general-purpose computing on graphics processor units (GPGPU). The obtained results demonstrate that some group of algorithms can be computed faster if they are implemented in a parallel way and run on a multi-core processor (CPU) or a graphics processing unit (GPU). In case of the GPU, the implemented algorithm should be divided into many threads in order to perform computations faster than on a multi-core CPU. In general, computations on a GPU should be performed when there is a need to process a large amount of data with the use of algorithm which is very well suited to parallel implementation.
Źródło:
Measurement Automation Monitoring; 2015, 61, 1; 16-20
2450-2855
Pojawia się w:
Measurement Automation Monitoring
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Advanced rehabilitation device based on artificial muscle actuators with neural network implementation
Autorzy:
Židek, K.
Líška, O.
Maxim, V.
Powiązania:
https://bibliotekanauki.pl/articles/384345.pdf
Data publikacji:
2012
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
rehabilitation
automation
artificial muscle
control
Opis:
In this paper the rehabilitation device for upper arm based on artificial muscles is introduced. Presented automated rehabilitation device has three degrees of freedom: 2 DOF in arm and 1 DOF in elbow that provides almost all basic rehabilitation exercises. Artificial pneumatics muscles will be tested in connection with spring and antagonistic connection. This system provides lifting and falling of arm construction based on patient force. There is possibility to generate help force during rehabilitation or opposite load. Artificial muscles are controlled by pneumatic valves terminal from micro computer based on MCU. Higher level control system provides artificial intelligence implementation based on neural network for prediction and change of load according sensor values history (incremental sensor, pressure sensor). For prototype testing there is described usability of industrial robot to test precision of load and trajectories during rehabilitation. This automatic rehabilitation device will help to reduce therapeutics work with patient, automate and improve rehabilitation process.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2012, 6, 3; 30-32
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The development of Kalman Filter learning technique for Artificial Neural Networks
Autorzy:
Krok, A.
Powiązania:
https://bibliotekanauki.pl/articles/308081.pdf
Data publikacji:
2013
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
Artificial Neural Networks
Kalman filter
Opis:
The paper presents an idea of using the Kalman Filtering (KF) for learning the Artificial Neural Networks (ANN). It is shown that KF can be fully competitive or more beneficial method with comparison standard Artificial Neural Networks learning techniques. The development of the method is presented respecting selective learning of chosen part of ANN. Another issue presented in this paper is the author’s concept of automatic selection of architecture of ANN learned by means of KF based on removing unnecessary connection inside the network. The effectiveness of presented ideas is illustrated on the examples of time series modeling and prediction. Considered data came from the experiments and situ measurements in the field of structural mechanics and materials.
Źródło:
Journal of Telecommunications and Information Technology; 2013, 4; 16-21
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Integration of product design and manufacturing with the use of artificial intelligent methods
Autorzy:
Kutschenreiter-Praszkiewicz, I.
Powiązania:
https://bibliotekanauki.pl/articles/99801.pdf
Data publikacji:
2011
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
product design
manufacturing
artificial intelligence
Opis:
Product and process design is time- and cost consuming [15]. To reduce the cost of product development, it is necessary to integrate product and process design. The proposed product planning approach integrates activities involved in product design and manufacturing process. The aim of this paper is to develop a method of knowledge integration about customer needs, product and process characteristics. The range of analyses is limited to mechanical product type manufacturing for institutional customers. Customer needs are focused on functional characteristics of the product and the trade characteristics include product price, timing and warranty. Integration of functional requirements, product and process characteristics is needed to select the best product from a catalogue and adapt it to particular customer needs. From the given set of products, where a product is described by a set of attributes, the subset is chosen which roughly satisfies customer needs. Basing on artificial intelligent (AI) methods, data related to redesign and production processes is estimated.
Źródło:
Journal of Machine Engineering; 2011, 11, No. 1-2; 46-53
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A survey on multi-agent based collaborative intrusion detection systems
Autorzy:
Bougueroua, Nassima
Mazouzi, Smaine
Belaoued, Mohamed
Seddari, Noureddine
Derhab, Abdelouahid
Bouras, Abdelghani
Powiązania:
https://bibliotekanauki.pl/articles/2031138.pdf
Data publikacji:
2021
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
IDS
CIDS
MAS
artificial Intelligence
Opis:
Multi-Agent Systems (MAS) have been widely used in many areas like modeling and simulation of complex phenomena, and distributed problem solving. Likewise, MAS have been used in cyber-security, to build more efficient Intrusion Detection Systems (IDS), namely Collaborative Intrusion Detection Systems (CIDS). This work presents a taxonomy for classifying the methods used to design intrusion detection systems, and how such methods were used alongside with MAS in order to build IDS that are deployed in distributed environments, resulting in the emergence of CIDS. The proposed taxonomy, consists of three parts: 1) general architecture of CIDS, 2) the used agent technology, and 3) decision techniques, in which used technologies are presented. The proposed taxonomy reviews and classifies the most relevant works in this topic and highlights open research issues in view of recent and emerging threats. Thus, this work provides a good insight regarding past, current, and future solutions for CIDS, and helps both researchers and professionals design more effective solutions.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2021, 11, 2; 111-142
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
From immunology to modeling, processing and analysis of data
Od immunologii do modelowania, przetwarzania i analiz danych
Autorzy:
Lasek, Mirosława
Lasek, Witold
Pęczkowski, Marek
Powiązania:
https://bibliotekanauki.pl/articles/432071.pdf
Data publikacji:
2013
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
immunology
immunocomputing
artificial immune system
algorithms of artificial immune systems
representation of the elements of biological systems in artificial immune systems
the use of artificial immune algorithms in practice
Opis:
Observation of nature is often the inspiration for unconventional and innovative ideas, proposals, suggestions, overall concepts for carrying out modeling phenomena and technical processes, economic, processing and analysis of statistical data. Artificial neural networks, genetic algorithms and evolutionary algorithms were created as an imitation of biological solutions. In recent years, the rapid development of immunological algorithms which are based on the action of the human immune system, has occurred. These algorithms are used in mathematics, engineering, problem solving in decision making, management, economics, finance. At the beginning of this article we describe the action of the human immune system, which is the basis for the construction of immune algorithms. Then we present the most important mechanisms influencing the operation and construction of the algorithms based on biological mechanisms of the immune system, in particular the negative selection, immune network, clonal selection. Then we describe how the elements and mechanisms of artificial immune system algorithms are represented to enable modeling, processing and analysis of data. In the last part of the article to illustrate the wide range of possibilities of using immune algorithms to solve various sorts of problems from a completely different fields, we present examples of applications that involve the assessment of bank borrowers, the task of coloring a graph belonging to combinatorial optimization problems, a multi-dimensional classification, fault detection.
Źródło:
Informatyka Ekonomiczna; 2013, 4(30); 196-225
1507-3858
Pojawia się w:
Informatyka Ekonomiczna
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Niemcy jako europejski i światowy ośrodek badań i rozwoju sztucznej inteligencji
Germany as an European and Global Center for Research and Development of Artificial Intelligence
Autorzy:
Dahl, Martin
Powiązania:
https://bibliotekanauki.pl/articles/558294.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Warszawski. Centrum Europejskie
Tematy:
Artificial Intelligence;
European Union;
Innovations;
Strategy of Artificial Intelligence;
Federal Government;
Republic of Germany;
Opis:
The Artificial Intelligence is one of the key technologies of the 21st century. Numerous countries conduct advanced research on Artificial Intelligence, in which they see the possibility of gaining technological advantage over other countries. Global leaders in research and development of Artificial Intelligence are the United States and China. Also single European countries have ambitions to play a significant role in the creation and development of this technology. As the largest European Union country, Germany published at the end of 2018 the Strategy of Artificial Intelligence of the Federal Government, which defines a number of objectives to implement and guidelines necessary to create from Germany a global center of Artificial Intelligence. In this context, the purpose of this article is to answer the question of whether Germany has a chance to become a leading European and world center for research and development on Artificial Intelligence.
Źródło:
Studia Europejskie - Studies in European Affairs; 2019, 2; 153-162
1428-149X
2719-3780
Pojawia się w:
Studia Europejskie - Studies in European Affairs
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Las alternativas para una tributación de la robótica
The alternatives for a robotics taxation
Autorzy:
Parada, Luis Miguel Muleiro
Powiązania:
https://bibliotekanauki.pl/articles/2158865.pdf
Data publikacji:
2022
Wydawca:
Krakowska Akademia im. Andrzeja Frycza Modrzewskiego
Tematy:
inteligencia artificial
tributos
justicia
simplificación
artificial intelligence
robots
taxes
tax justice
tax simplification
Opis:
A estas alturas del siglo XXI parece deseable reflexionar desde el rigor científico sobre las posibilidades reales de incidir con técnicas impositivas que hagan contribuir específicamente a la robótica sin distorsionar ni complicar más todavía el sistema tributario. Una sociedad progresivamente robotizada en el entorno global digitalizado requiere plantearse la posibilidad de un gravamen en el marco de la inteligencia artificial aplicada. En los últimos años, diferentes voces han defendido la necesidad de alcanzar un tratamiento jurídico acorde a la nueva realidad en la que el imparable avance de la robótica está abriendo paso a una verdadera transformación social. En el ámbito tributario se han proyectado diversas alternativas, desde la posibilidad de regular un tributo referido al trabajo ejecutado por robots hasta exigir un gravamen específico o adicional por el uso y mantenimiento de los mismos. Pese a que las alternativas son bien diferentes la justicia tributaria debe mantenerse como prisma básico de evaluación.
In recent years different voices have defended the necessity to achieve a legal treatment according to the new reality, given that, the relentless advance of robotics is paving its path to a profound social transformation. A society, which is progressively automated in the digitised global environment, requires to formulate the possibility of a taxation within the applied artificial intelligence framework. Several alternatives have been proposed under the tax environment, from regulating a tax referred to the task executed by robots until demanding a specific or additional taxation on account of their use and maintenance. A priori, the alternatives are numerous but these required to be assessed from the perspective regarding the minimum determinants of the tax justice. In this paper, we will analyse what challenges the taxation deals, considering the necessary postulates that impose the fundamental guidelines of the tax order. The material principles of justice are reinterpreted in their content by their own digital revolution. These notions must clearly report the design of any suggestion and respect satisfactorily the configuration of the essential elements of a tax. At this stage in the 21st century, it seems desirable to reflect from the scientific rigour on the real possibilities of influencing by means of using tax techniques. These techniques could specifically contribute to robotics, but without distorting and complicating further the taxation system.
Źródło:
Studia Prawnicze: rozprawy i materiały; 2022, (30), 1; 105-115
1689-8052
2451-0807
Pojawia się w:
Studia Prawnicze: rozprawy i materiały
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evidence from Artificial Intelligence in General Administrative Procedure
Autorzy:
Dubiński, Łukasz
Powiązania:
https://bibliotekanauki.pl/articles/28672992.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
artificial intelligence
evidence
administrative procedure
Opis:
Artificial intelligence is becoming an element of everyday life, and also a part of administrative proceedings. The legislator systematically adds regulations that allow public administration bodies to use artificial intelligence. At the same time, the Code of Administrative Procedure has not been amended in this respect. The article tries to establish what artificial intelligence evidence is. In addition, the issue of whether the rules on administrative evidence should be changed to cover the use of AI evidence is examined.
Źródło:
Adam Mickiewicz University Law Review; 2022, 14; 251-280
2450-0976
Pojawia się w:
Adam Mickiewicz University Law Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-25 z 1772

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