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Artificial Intelligence Poetry
Jurečka, Otakar ; Zmrzlá, Petra (referee) ; Kotásek, Miroslav (advisor)
Tato bakalářská práce podává přehled o programech, které jsou určeny k psaní básnických textů. Obsahuje informace o tom, jak se s jednotlivými představenými aplikacemi pracuje, a jejich schopnosti jsou demonstrovány jejich zkušebním použitím. Tyto vygenerované texty jsou analyzovány. Je také vysvětleno fungování těchto počítačových programů. Dále je také zmíněna historie umělé inteligence, její prvotní myšlenka i její novější technologický vývoj.
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Use of fuzzy logic for banking risk assessment
Maňková, Veronika ; Bobalová, Martina (referee) ; Janková, Zuzana (advisor)
The thesis focuses on the use of fuzzy logic in the banking sector for credit risk assessment. Artificial intelligence, especially the fuzzy logic method, is used to construct a model for evaluating whether a client poses a threat to the bank or not based on their creditworthiness. The determination of a client's creditworthiness involves the evaluation of both financial and non-financial indicators. The paper further describes the use of the MATLAB tool for the development and implementation of this model. The resulting model allows banks to better understand credit risk and enables them to make more informed lending decisions.
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Automatic diagnosis of the 12-lead ECG using deep learning
Blaude, Ondřej ; Smital, Lukáš (referee) ; Provazník, Valentine (advisor)
The aim of this diploma thesis is to investigate the problematics of automatic ECG diagnostics, namely on twelve-lead recordings. In the first chapter the heart and its electrical activity measurement is described shortly. In addition to that, the abnormalities which are going to be classified in this thesis are also briefly described. In the second chapter, it is described how the ECG was diagnosed earlier, by classical methods that preceded deep learning. Some of the shortcomings that the classical methods have compared to deep learning are also described here. The third part already pays attention to deep learning itself, and its contribution and advantages compared to classical methods. Convolutional neural networks and their individual blocks are also described here, later attention is paid to selected architectures that were used in some studies. The fourth chapter already focuses on the practical part, in which the data used from the PhysioNet database, the proposed algorithm and its implementation are described in more detail. In the fifth chapter the results are discussed and compared to the corresponding publications.
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Classification of board defects in semiconductor manufacturing
Jašek, Filip ; Vágner, Martin (referee) ; Dřínovský, Jiří (advisor)
This diploma thesis focuses on detecting defects in semiconductor wafer manufacturing. It explores methods for identifying faulty chips and controlling yield during production. To classify defects machine learning techniques are used. Initially, ResNet18 architecture was used for inference, but low accuracy was attributed to limited input data. Transfer learning with ResNet50v2 was then attempted, resulting in improved metric with different dataset. Hyperparameter tuning and data augmentations were also explored. The study found that autoencoders for data compression during inference increased speed but led to degraded evaluation metrics.
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Marketing Strategy Proposal for the Selected Company
Štancl, Jan ; Ulč, Jakub (referee) ; Chlebovský, Vít (advisor)
The thesis deals with the analysis of the 3D graphics market, primarily searching for trends, challenges, opportunities, competition analysis, and market segmentation, but also the analysis of a selected company. This is followed by the selection of suitable segments, setting company goals, and proposing an appropriate marketing strategy, human resource development, strategy implementation, financial costs of the strategy, and evaluation for the selected company.
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Possibilities of using artificial intelligence in leisure activities for seniors
KOPPELOVÁ, Kateřina
This bachelor thesis deals with the use of artificial intelligence in the everyday life of seniors. It focuses on current applications of AI tools, identifies areas of application, and identifies possibilities for future developments. The thesis includes a research probe that examines seniors' interaction with the artificial intelligence communication tool Bing Copilot and explores how seniors perceive these tools and how they feel when using them. It highlights the importance of ethical considerations when using these tools and adapting their design to the needs and preferences of seniors. The paper also raises the question of developing new theories about human interaction with AI.
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Artificial Intelligence as a Challenge for the Justification of Human Rights
Florian, Oldřich Tristan ; Koloušek, Martin (referee)
Artificiál Intělligěncě ás á Chállěngě for thě Justificátion of Humán Rights Abstráct Thěrě is á long-stánding děbátě ábout thě morál státus of ánimáls, humáns in á věgětátivě státě, or ěmbrýos, ánd bý ěxtěnsion ábout thěir possiblě rights. In thě ěrá of thě risě of ártificiál intělligěncě, thěsě quěstions ěxtěnd to robots. This těxt áttěmpts to rělátě thěsě děbátěs to thě fiěld of humán rights thěoriěs. Humán rights thěoriěs árě ábout justifýing humán rights in morál sěnsě, ánd this dissěrtátion ěxáminěs whěthěr ádváncěs in ártificiál intělligěncě máý problěmátisě várious such justificátion thěoriěs. Kěýwords lěgál philosophý, humán rights, ártificiál intělligěncě, robots, humán rights thěoriěs, rights, robot rights
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Usage of artificial inteligence in legal services
Hudík, Lukáš ; Beran, Karel (advisor) ; Ondřejek, Pavel (referee)
1 The usage of artificial inteligence in the legal practice Abstract This thesis deals with the phenomenon of artificial intelligence and its use in the the legal practice, as well as its impact on the related legal profession. The main objective of the thesis was to evaluate the current regulation of artificial intelligence at both the general and professional level in this country and around the world. Artificial Intelligence, or better said, the artificial intelligence system, is undoubtedly a topical and widely discussed topic that has rapidly come into the public consciousness in the last three years and has the potential to change the current majority of economic sectors as we currently know them. Its media coverage and often deliberately offensive article headlines, however, have often led to questions such as "won't I lose my job because of AI", even in professional circles? "Why should I use AI?" Thus, the main methodology used in this paper is empirical research into the AI systems phenomena, and the subsequent application of the findings to existing AI-based legal tools. I will thus attempt to answer the question of whether AI is a threat or rather an opportunity for the future of advocacy, and how it should be approached. The thesis also deals with related issues, i.e. phenomena such as forum...
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AI-based technology: Legal aspects of data protection and privacy
Hendrychová, Lucie ; Svobodová, Magdaléna (advisor) ; Exner, Jan (referee)
Technology Based on Artifical Intelligence: Legal Aspects of Data and Privacy Protection Abstract The thesis focuses on technologies based on the principles of artificial intelligence and their regulation in the field of the European Union with an emphasis on the data protection. It is divided into three parts. Firstly, the focus is on the term artificial intelligence itself, the definition of which is not simple, but quite indispensable for legal regulation. The second part of the thesis deals with the European Union legislation relevant to artificial intelligence, leaving aside neither soft law, which has an indispensable role in the field of artificial intelligence, nor legislation that is still in the legislative process. This section already demonstrates the legislative shortcomings, which can be divided into two groups. The first group of shortcomings is characterised by incomprehensibility of definitions or excessive vagueness of formulations, which cause interpretative difficulties even in essential facts, which undoubtedly include the scope of the regulation. A common feature of the second group of legislative shortcomings is the lack of reflection on the specifics of artificial intelligence, which can, in the most extreme case, lead to an absurd situation where the obligation laid down by the...
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Utilization of artificial intelligence in vibrodiagnostics
Dočekalová, Petra ; Huzlík, Rostislav (referee) ; Zuth, Daniel (advisor)
The diploma thesis deals with machine learning, expert systems, fuzzy logic, genetic algorithms, neural networks and chaos theory, which fall into the category of artificial intelligence. The aim of this work is to describe and implement three different classification methods, according to which the data set will be processed. The GNU Octave software environment was chosen for the data application for licensing reasons. Further evaluate the success of data classification, including visualization. Three different classification methods are used for comparison, so that we can compare the processed data with each other.
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