Ebooki
Denis Rothman, Nicolas GUET, Jérémie ROTHMAN
Artificial intelligence has the potential to replicate humans in every field. Artificial Intelligence By Example serves as a starting point for you to understand how AI is built, with the help of intriguing examples and case studies.Artificial Intelligence By Example will make you an adaptive thinker and help you apply concepts to real-life scenarios. Using some of the most interesting AI examples, right from a simple chess engine to a cognitive chatbot, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and IoT, and develop emotional quotient in chatbots using neural networks.You will move on to designing AI solutions in a simple manner rather than get confused by complex architectures and techniques. This comprehensive guide will be a starter kit for you to develop AI applications on your own.By the end of this book, you will have understood the fundamentals of AI and worked through a number of case studies that will help you develop your business vision.
Artificial Intelligence Engines. A Tutorial Introduction to the Mathematics of Deep Learning
James V Stone
This book is a comprehensive guide to the mathematics behind artificial intelligence engines, taking readers from foundational concepts to advanced applications. It begins with an introduction to artificial neural networks, exploring topics like perceptrons, linear associative networks, and gradient descent. Practical examples accompany each chapter, making complex mathematical principles accessible, even for those with limited prior knowledge.The book's detailed structure covers key algorithms like backpropagation, Hopfield networks, and Boltzmann machines, advancing to deep restricted Boltzmann machines, variational autoencoders, and convolutional neural networks. Modern topics such as generative adversarial networks, reinforcement learning, and capsule networks are explored in depth. Each section connects theory to real-world AI applications, helping readers understand how these techniques are used in practice.Ideal for students, researchers, and AI enthusiasts, the book balances theoretical depth with practical insights. Basic mathematical knowledge or foundation is recommended, allowing readers to fully engage with the content. This book serves as an accessible yet thorough resource for anyone eager to dive deeper into artificial intelligence and machine learning.
Artificial Intelligence. Ethical, social, and security impacts for the present and the future
IT Governance Publishing, Dr. Julie E. Mehan
This book offers an in-depth exploration of Artificial Intelligence (AI), from its origins to the ethical and societal challenges it presents today. It provides a comprehensive understanding of AI’s impact on human interaction, collaboration, privacy, and security. Through analyzing both opportunities and risks, the book emphasizes the ethical concerns surrounding AI, such as bias, privacy violations, and security threats.Chapters explore AI’s transformative role in cybersecurity, misinformation, and human-machine collaboration, highlighting its implications for job markets and human relationships. Real-world examples illustrate how AI can drive progress or cause harm. The ethical dilemmas around AI, including its use in surveillance and decision-making, are thoroughly examined, presenting challenges central to modern technology.Looking ahead, the book offers a forward-thinking perspective on AI’s future, discussing emerging trends and the need for responsible policy-making. It concludes by addressing how society can prepare for AI’s continued growth, offering strategies for navigating the evolving landscape. With practical insights and deep analysis, this book helps readers grasp AI’s profound implications for our future.
Anand Deshpande, Manish Kumar, Albenzo Coletta, Giancarlo...
In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data.With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems.By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems.
Bojan Kolosnjaji, Huang Xiao, Peng Xu, Apostolis...
Artificial intelligence offers data analytics methods that enable us to efficiently recognize patterns in large-scale data. These methods can be applied to various cybersecurity problems, from authentication and the detection of various types of cyberattacks in computer networks to the analysis of malicious executables.Written by a machine learning expert, this book introduces you to the data analytics environment in cybersecurity and shows you where AI methods will fit in your cybersecurity projects. The chapters share an in-depth explanation of the AI methods along with tools that can be used to apply these methods, as well as design and implement AI solutions. You’ll also examine various cybersecurity scenarios where AI methods are applicable, including exercises and code examples that’ll help you effectively apply AI to work on cybersecurity challenges. The book also discusses common pitfalls from real-world applications of AI in cybersecurity issues and teaches you how to tackle them.By the end of this book, you’ll be able to not only recognize where AI methods can be applied, but also design and execute efficient solutions using AI methods.*Email sign-up and proof of purchase required
Michael Roshak
Artificial intelligence (AI) is rapidly finding practical applications across a wide variety of industry verticals, and the Internet of Things (IoT) is one of them. Developers are looking for ways to make IoT devices smarter and to make users’ lives easier. With this AI cookbook, you’ll be able to implement smart analytics using IoT data to gain insights, predict outcomes, and make informed decisions, along with covering advanced AI techniques that facilitate analytics and learning in various IoT applications.Using a recipe-based approach, the book will take you through essential processes such as data collection, data analysis, modeling, statistics and monitoring, and deployment. You’ll use real-life datasets from smart homes, industrial IoT, and smart devices to train and evaluate simple to complex models and make predictions using trained models. Later chapters will take you through the key challenges faced while implementing machine learning, deep learning, and other AI techniques, such as natural language processing (NLP), computer vision, and embedded machine learning for building smart IoT systems. In addition to this, you’ll learn how to deploy models and improve their performance with ease.By the end of this book, you’ll be able to package and deploy end-to-end AI apps and apply best practice solutions to common IoT problems.
Francis X. Govers III
Artificial Intelligence for Robotics starts with an introduction to Robot Operating Systems (ROS), Python, robotic fundamentals, and the software and tools that are required to start out with robotics. You will learn robotics concepts that will be useful for making decisions, along with basic navigation skills.As you make your way through the chapters, you will learn about object recognition and genetic algorithms, which will teach your robot to identify and pick up an irregular object. With plenty of use cases throughout, you will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks.By the end of this book, you will have learned to give your robot an artificial personality using simulated intelligence.
Francis X. Govers III, Dr. Kamesh Namuduri
Unlock the potential of your robots by enhancing their perception with cutting-edge artificial intelligence and machine learning techniques. From neural networks to computer vision, this second edition of the book equips you with the latest tools, new and expanded topics such as object recognition and creating artificial personality, and practical use cases to create truly smart robots.Starting with robotics basics, robot architecture, control systems, and decision-making theory, this book presents systems-engineering methods to design problem-solving robots with single-board computers. You'll explore object recognition using YOLO and genetic algorithms to teach your robot to identify and pick up objects, leverage natural language processing to give your robot a voice, and master neural networks to classify and separate objects and navigate autonomously, before advancing to guiding your robot arms using reinforcement learning and genetic algorithms. The book also covers path planning and goal-oriented programming to prioritize your robot's tasks, showing you how to connect all software using Python and ROS 2 for a seamless experience.By the end of this book, you'll have learned how to transform your robot into a helpful assistant with NLP and give it an artificial personality, ready to tackle real-world tasks and even crack jokes.
Artificial Intelligence in Accounting. What the past and present mean for the future
Jacek Kalinowski, Piotr Kalinowski
AI in Accounting. What the past and present mean far the future is an interdisciplinary work that shows how artificial intelligence and generative models are transforming the world of accounting. The authors combine the historical background of technology with practical case studies from global companies. The book is particularly important for accountants, who face the challenges of automation and redefining their role in the digital age. As reviewer Prof. Stanisław Hońko noted, they are the very audience who should turn to this book. At the same time, it serves as a practical guide to AI tools. The authors organize and systematize a wide range of technologies - from OCR and R PA, through chatbots and popular solutions such as ChatGPT or Microsoft Copilot, to large language models including GPT, Gemini, Perplexity, and DeepSeek. Such a broad spectrum can easily overwhelm, but this book provides a clear and structured introduction. Reviewer Prof. Karol Klimczak highlighted its logical structure and comprehensive scope, which make the work valuable for both scholars and practitioners. For that reason, AI in Accounting is not only essential reading for accountants, controllers, and auditors, but also an accessible guide for any one beginning their journey with AI - whether in finance, education, business, the arts, or any other field where artificial intelligence can become a source of support and inspiration.
Tomasz Rymarczyk
This monograph aims to synthesize methods, measurement architectures, and algorithms that advance approaches to electrical and ultrasonic tomography, with a particular focus on artificial intelligence in image reconstruction and decision support. The work places these techniques in modern, complex environmental, industrial, and medical diagnostic systems, where non-invasive measurements are required for reliable observation, control, and process optimization. The scope of this work encompasses forward and inverse problems, numerical modelling, and data-driven learning methods, and is based on practical prototypes and verified applications. Tomographic imaging is presented as a family of techniques that infer internal structure based on boundary or remote measurements, enabling inspection without physical intervention. The theoretical foundations are outlined along with historical context and standard formulations of inverse problems, which are ill-posed and sensitive to noise and modelling errors. Established numerical frameworks, such as the Finite Element Method, are used to regularize and solve forward and inverse problems for electric and acoustic fields. These pillars provide a coherent path from physics to computation, and ultimately to images interpreted in an operational context. Artificial intelligence methods were applied to improve reconstruction fidelity, noise immunity, and computational efficiency. The text discusses deterministic frameworks such as Tikhonov, Gauss-Newton, and Total Variation, followed by a discussion of machine learning and deep learning architectures such as LSTM and CNN, along with ResNet, DiffNet, and specifically developed differential models for tomographic signals. The proposed multi-branch and pixel-centric strategies were evaluated using quantitative metrics such as RMSE, SSIM, ICC, Pearson correlation, relative image error, MAE, MAPE, and related metrics that reflect both perceptual and task-specific quality. The combination of physics-based modeling and prior knowledge has been shown to reduce inference time and increase noise tolerance compared to classical iterative solvers. A significant portion of the monograph is devoted to the design and evolution of measurement devices. Electrical and hybrid tomographs, next-generation ultrasound tomographs, a beamforming platform, and specialized flaw detection solutions are designed and characterized. Portable and mobile configurations, along with body potential mapping, are used to extend tomographic detection capabilities to include outpatient and situational monitoring. The measurement layer is integrated with distributed acquisition, synchronization, and embedded processing, allowing the systems to operate within industrial and clinical constraints. Applications in process engineering and medicine are presented. Fermentation control, crystallization monitoring, and autonomous process supervision illustrate industrial utility, including connections to the Internet of Things and real-time data infrastructure. Medical research includes non-invasive lung monitoring, portable diagnostics, and ultrasound brain detection, as well as portable hybrid ultrasound impedance solutions for lower urinary tract assessment. Non-destructive testing is addressed using advanced ultrasound imaging on the DefectoVision platform, which describes 3D reconstruction and quantitative assessment. These cases demonstrate that tomographic sensing can reveal internal states, detect anomalies, and support inspection without disrupting production or compromising safety. The book is designed to guide the reader from fundamentals to implementations and verified use cases. Chapter 1 introduces tomographic imaging, the physical principles underlying electrical and ultrasound techniques, and the challenges of the inverse problem. Chapter 2 discusses reconstruction methods, from deterministic regularization to machine learning and deep learning, along with evaluation metrics. Chapter 3 documents the designed measurement devices along with their electronics, sensor geometry, and system characteristics. Chapter 4 develops reconstruction processes based on simulated and experimental datasets and discusses comparative performance, including hybrid and 3D approaches. Chapter 5 consolidates applications in industrial processes and medical diagnostics, presenting experimental setups, results, and discussions that link quantitative metrics to operational requirements. Chapter 6 concludes with a summary, conclusions, and perspectives for further development. This publication is aimed at researchers and PhD students in the fields of sensors, inverse problems, and computational imaging, as well as engineers and practitioners responsible for process control, non-destructive testing, and medical technology assessment. The material was developed autonomously, with theoretical assumptions, numerical methods, device descriptions, and application studies, so that knowledge can be transferred from laboratory prototypes to real systems. This work was developed thanks to the research community and collaboration at the Netrix S.A. Research and Development Centre and the Institute of Information Technology and Innovative Technologies at the WSEI University in Lublin. Appreciation is expressed to my colleagues who collaborated with me on research projects in the areas of device prototyping, data acquisition, and algorithm development, which translated concepts into working systems. We also extend our gratitude to the reviewers, whose insightful comments contributed to improved clarity and completeness, and to our family for their continued support. The presented projects were developed to demonstrate how intelligent tomographic measurement systems can be constructed and deployed as reliable imaging, monitoring, and control tools. This synthesis of physics-based modelling and learning-based reasoning will be useful to both academia and industry seeking to implement practical, large-scale tomography.
Artificial Intelligence in the 21st Century. The Future of Technology and Human Innovation
Mercury Learning and Information, Stephen Lucci, Sarhan...
This third edition provides a comprehensive, accessible presentation of AI, including examples, applications, full-color images, and human interest boxes. New chapters on deep learning, AI security, and AI programming keep the content cutting-edge. Topics like neural networks, genetic algorithms, natural language processing, planning, and complex board games are covered.The course starts with an AI overview, moving through uninformed search, intelligent search methods, and game-based strategies. It delves into logic in AI, knowledge representation, production systems, uncertainty in AI, and expert systems. Middle chapters cover machine learning, neural networks, and deep learning. It continues with nature-inspired search methods, natural language processing, and automated planning, ending with robotics and advanced computer games.These AI concepts are crucial for developing sophisticated AI applications. This book transitions you from novice to proficient AI practitioner, equipped with practical skills and comprehensive knowledge. Companion files with resources, simulations, and figures enhance learning. By the end, you'll understand AI principles and applications, ready to tackle real-world challenges.
Marco Secchi
Have you ever wondered how to create engaging gameplay experiences that involve formidable AI opponents, capable of challenging and pushing players to their limits? If the answer is yes, then get ready to enter the realm of AI creation with Unreal Engine 5.Within the pages of this book, written by a brilliant author and game development expert, you’ll find the secrets of Unreal Engine's cutting-edge AI framework. With this newfound knowledge, you’ll be able to create immersive and dynamic gaming experiences. This step-by-step guide will teach you the art of crafting intelligent and responsive virtual opponents that challenge and engage players on a whole new level. As you follow along with practical examples, the book will guide you through the creation of fully functional AI systems. You’ll be able to harness the power of behavior trees, NavMesh systems, and sensory perception models, breathing life into your virtual characters.By the end of this book, you’ll be equipped with the knowledge you need to unleash the full potential of AI in Unreal Engine. Get ready to revolutionize your gaming creations and captivate players with AI-driven wonders that push the boundaries of what's possible!*Email sign-up and proof of purchase required
Mercury Learning and Information, Oswald Campesato
This book introduces AI, then explores machine learning, deep learning, natural language processing (NLP), and reinforcement learning. Readers learn about classifiers like logistic regression, k-NN, decision trees, random forests, and SVMs. It delves into deep learning architectures such as CNNs, RNNs, LSTMs, and autoencoders, with Keras-based code samples supplementing the theory.Starting with a foundational AI overview, the course progresses into machine learning, explaining classifiers and their applications. It continues with deep learning, focusing on architectures like CNNs and RNNs. Advanced topics include LSTMs and autoencoders, essential for modern AI. The book also covers NLP and reinforcement learning, emphasizing their importance.Understanding these concepts is vital for developing advanced AI systems. This book transitions you from beginner to proficient AI practitioner, combining theoretical knowledge and practical skills. Appendices on Keras, TensorFlow 2, and Pandas enrich the learning experience. By the end, readers will understand AI principles and be ready to apply them in real-world scenarios.
Mary-Jo Diepeveen
The artificial intelligence (AI) capabilities in Power BI enable organizations to quickly and easily gain more intelligent insights from unstructured and structured data.This book will teach you how to make use of the many AI features available today in Power BI to quickly and easily enrich your data and gain better insights into patterns that can be found in your data.You’ll begin by understanding the benefits of AI and how it can be used in Power BI. Next, you’ll focus on exploring and preparing your data for building AI projects and then progress to using prominent AI features already available in Power BI, such as forecasting, anomaly detection, and Q&A. Later chapters will show you how to apply text analytics and computer vision within Power BI reports. This will help you create your own Q&A functionality in Power BI, which allows you to ask FAQs from another knowledge base and then integrate it with PowerApps. Toward the concluding chapters, you’ll be able to create and deploy AutoML models trained in Azure ML and consume them in Power Query Editor. After your models have been trained, you’ll work through principles such as privacy, fairness, and transparency to use AI responsibly.By the end of this book, you’ll have learned when and how to enrich your data with AI using the out-of-the-box AI capabilities in Power BI.
Prateek Joshi
Artificial Intelligence is becoming increasingly relevant in the modern world. By harnessing the power of algorithms, you can create apps which intelligently interact with the world around you, building intelligent recommender systems, automatic speech recognition systems and more.Starting with AI basics you'll move on to learn how to develop building blocks using data mining techniques. Discover how to make informed decisions about which algorithms to use, and how to apply them to real-world scenarios. This practical book covers a range of topics including predictive analytics and deep learning.
Ritesh Kumar, Ben Auffarth
Artificial intelligence (AI) plays an integral role in automating problem-solving. This involves predicting and classifying data and training agents to execute tasks successfully. This book will teach you how to solve complex problems with the help of independent and insightful recipes ranging from the essentials to advanced methods that have just come out of research.Artificial Intelligence with Python Cookbook starts by showing you how to set up your Python environment and taking you through the fundamentals of data exploration. Moving ahead, you’ll be able to implement heuristic search techniques and genetic algorithms. In addition to this, you'll apply probabilistic models, constraint optimization, and reinforcement learning. As you advance through the book, you'll build deep learning models for text, images, video, and audio, and then delve into algorithmic bias, style transfer, music generation, and AI use cases in the healthcare and insurance industries. Throughout the book, you’ll learn about a variety of tools for problem-solving and gain the knowledge needed to effectively approach complex problems.By the end of this book on AI, you will have the skills you need to write AI and machine learning algorithms, test them, and deploy them for production.
Alberto Artasanchez, Prateek Joshi
Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications.This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data.Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques.
Álvaro Morena Alberola, Gonzalo Molina Gallego, Unai...
Artificial Vision and Language Processing for Robotics begins by discussing the theory behind robots. You'll compare different methods used to work with robots and explore computer vision, its algorithms, and limits. You'll then learn how to control the robot with natural language processing commands. You'll study Word2Vec and GloVe embedding techniques, non-numeric data, recurrent neural network (RNNs), and their advanced models. You'll create a simple Word2Vec model with Keras, as well as build a convolutional neural network (CNN) and improve it with data augmentation and transfer learning. You'll study the ROS and build a conversational agent to manage your robot. You'll also integrate your agent with the ROS and convert an image to text and text to speech. You'll learn to build an object recognition system using a video.By the end of this book, you'll have the skills you need to build a functional application that can integrate with a ROS to extract useful information about your environment.
Vincas Kudirka
Vincas Kudirka Laisvos valandos Artojaus skundas O, sielvartli mano didžiausias! Tai aš apleistas ant margo svieto! Tiek turiu kęsti vargo taip kieto, Lyg už visus aš bčiau kalčiausias! Pats anksti klęs pjaut einu pievas, Pats taisau žagrę, pats ir akju, Prakaitą savo prie darbo lieju Taip ve, kaip žmogui paliep Dievas. O vienok žem taip menkai dera, Kad ne už darbą man negrąžina, Ir kiekviens trisas susigaišina, Rodos, Dievs dav ranką negerą. Man vargingiausia jau... Vincas Kudirka Ur. 31 grudnia 1858 r. w Pojeziorach, powiat Wyłkowyski Zm. 16 listopada 1899 r. w Nowym Mieście (lt. Naumiestis) Najważniejsze dzieła: tłumaczenia: Dziewica Orleańska oraz Vilius Telis F.Schillera, III cz. Dziadów A.Mickiewicza, i in., poezja: zbiór Laisvos valandos (Wolne godziny), satyry, publicystyka: publikował je w specjalnym dziale gazety Varpas (Dzwon) pt. Tvyns varpai (Dzwony Ojczyzny), dzieła folklorystyczne: zbiór pieśni ludowych Kankls. Lekarz, litewski epik, poeta, publicysta, krytyk, tłumacz, redaktor gazety Varpas, jeden z ideologów ruchu narodowego, autor tekstu hymnu litewskiego. Vincas Kudirka naukę pobierał w szkole początkowej w Pojeziorach, później w gimnazjum w Mariampolu. Zdolny do nauki, miłośnik sztuki, tańca, kultury polskiej. Po ukończeniu sześciu klas zmuszony przez ojca wstąpił do Sejneńskiego Seminarium Duchownego. Stamtąd jednak po dwóch latach został usunięty z powodu braku powołania. Ukończywszy gimnazjum na srebrny medal przyszły działacz udał się na studia do Warszawy. Tam przez rok naukę pobierał na Wydziale Filologiczno-Historycznym Uniwersytetu Warszawskiego, później przeszedł na Wydział Medycyny. Na życie zarabiał udzielając prywatnych lekcji oraz przepisując rękopisy. Brał czynny udział w działalności Partii Proletariackiej. W 1888 r. założył nielegalne Towarzystwo Litewskich Studentów w Warszawie pt. Lietuva. Od 1889 r. towarzystwo owo wydaje gazetę Varpas, którego redaktorem był sam V. Kudirka oraz w którym prowadził rubrykę Tvyns varpai. Po roku z inicjatywy V. Kudirki zaczęto wydawać gazetę chłopską kininkas (Rolnik). W 1895 r. V. Kudirka został oskarżony i zatrzymany za działalność litewską. Mimo iż szybko odzyskał wolność, coraz wyraźniej dawał się we znaki gorszy stan zdrowia. W tym samym roku poeta wyjechał do Sewastopolu. W 1896 r. wraca na ojczyznę. Kupując książkę wspierasz fundację Nowoczesna Polska, która propaguje ideę wolnej kultury. Wolne Lektury to biblioteka internetowa, rozwijana pod patronatem Ministerstwa Edukacji Narodowej. W jej zbiorach znajduje się kilka tysięcy utworów, w tym wiele lektur szkolnych zalecanych do użytku przez MEN, które trafiły już do domeny publicznej. Wszystkie dzieła są odpowiednio opracowane - opatrzone przypisami oraz motywami.
Eugene Sue
Około środka roku 1537, gazeta jednego z departamentów południowaj Francji opisała tragiczną śmierć kobiety, mężczyzny i dziecięcia. Niedokładnie objaśniona, gazeta umieściła kilka odmiennych opisów tego nieszczęsnego wypadku, kolejno przypisywanego nierozwadze, samobójstwu i zemście; lecz za wmieszaniem się potężnej rodziny, której mocno szło o przytłumienie rozgłosu o tym opłakanym wypadku, dziennik wspomniony odwołał przytoczone wydarzenia, mieniąc je być bajką, o której nie za długo zapomniano. Autor, winien był jednakże pewnym wypadkom, iż uwiadomiony został o prawdziwych szczegółach owej tragedii, która służy zarazem za wstęp i rozwiązanie tej oto książki. Osoba Artura nie jest więc urojeniem jego charakter wynalazkiem pisarza, główne wypadki jego życia są opowiedziane prostodusznie, wszystkie prawie ich szczegóły są prawdziwe z wprowadzenia autora. Książka w dwóch wersjach językowych: polskiej i francuskiej. Version bilingue: polonaise et français.
Artwork in Integrated Marketing Communications. Eyetracking Studies
Jacek Sztuka
In considering the relationship of the artwork to integrated marketing communications, it is worth addressing the hard-to-grasp concept of art itself and the work of art associated with it. Seeking answers to the fundamental question of the role of art and its creations in visual marketing communications, we must be aware of what an artwork is and how to distinguish it from other visual communications used in today's advertising and marketing. The fundamental problem of the research was to compare the ways of looking at authentic works of art as seen in the marketing space. Several works of artists, such as Leonardo da Vinci, Piet Mondrian, Rafael Santi, Vincent van Gogh and Salvador Dali that have been recognized over the centuries as unquestionably outstanding, impressive in both craftsmanship and depth of artistic expression, have been selected for the analysis. First two chapters of the work are an attempt to grasp the concept of an artwork and its meaning for the artist and the recipients, and at the same time - we are exposed to the difficulty of formulating a proper definition of an artwork. Then, in chapter three, a brief history of some of the greatest works of previously mentioned artists is presented. The following chapters are a considerations weather an artist's work, born of their "creative love", could be exhibited as a "product for sale", and if not too often great artifacts were able to become an object of trade only after the death of their authors. Chapter six exposes the ethical dilemmas regarding putting the images of the greatest masterpieces on promotional tools, a phenomenon which occurs also in the most famous museums in the world. The discussed integrated marketing communications in chapter seven make an introduction for consideration of the benefits of reproducing famous artworks onto advertising gadgets in chapter eight. Chapter nine is an in-depth analysis of the results of the eyetracking study conducted, and consists pictures of original artworks, as well as their reproductions on various items, and the way they were perceived by the eyetracking study respondents. The purpose of the study was to test the following theses: Does the power of an artwork viewed on a museum wall continue in its reproductions on promotional items, i.e. for example, on so-called advertising gadgets? Does the emotional impact of the image presented on the promotional materials still persist causing attention to be focused, or does audience's attention dissipate? If so, to what extent does it dissipate and what determines it?
Artykulacje traumy: Andrzej Strug, Tadeusz Konwicki
Grażyna Maroszczuk
Artykulacje traumy: Andrzej Strug, Tadeusz Konwicki to monografia poświęcona prozie pisarzy doświadczonych wojną. Analizowane utwory pozwalają uchwycić pewne skomplikowanie, splot, w którym spotyka się tak silne doznanie wzniosłości, że poraża, obezwładnia i odbiera mowę. Traumatyczne wydarzenie może być zrozumiane jako takie wyłącznie po fakcie przez reminiscencje, powtórzenie. Następstwem tego mocnego, nagłego doznania jest rozciągnięcie w czasie, wpisane w traumę opóźnienie. Wzniosłość zatem, sama w sobie będąca mocnym afektem, paradoksalnie skutkuje artykulacją słabą, niedopowiedzeniem, słabością doświadczenia.
Sławomir Mrożek
Fałszywe papiery dla Lisa? Tablica pamiątkowa, kiedy nic się nie pamięta? Czy Kogut jest antysemitą? Czy szuler powinien przegrywać w karty ze względów humanitarnych? Czy stojąc w kolejce do monopolowego zbliżamy się czy oddalamy od równika? Te i inne paradoksy egzystencjalne rozważają bohaterowie zbioru opowiadań Sławomira Mrożka. Krótkie opowieści zawarte w dwóch cyklach: "Kogut, Lis i ja" oraz "Nowosądecki, Majer i ja", po raz pierwszy wydane w jednym tomie.
Wojciech Mann
Nie oceniałem jego obrazków, były taką samą częścią mojej codzienności jak meble w mieszkaniu, firanki w oknach czy kolor ścian. Jednak słuchając mimochodem tego, co ojciec mówił o różnych wydarzeniach czy faktach artystycznych, zacząłem orientować się, jak ważne jest rozróżnianie tego, co brzydkie, a co ładne. Nie potrafię powiedzieć, czy wieloletnie obcowanie ze sztuką, którą tworzył, ukształtowało mój gust, ale z całą pewnością pozwoliło mi docenić to, co robił. Jakby na przekór oficjalnie dominującej szarzyźnie i braku fantazji tamtych lat, jego obrazy uderzały feerią kolorów i śmiałością ich zestawiania. Mam to szczęście, że mimo dość lekceważącego podejścia Kazimierza Manna do archiwizacji swoich prac, udało mi się część z nich uratować i wszystko, co wisi u nas na ścianach, to właśnie jego dzieła. Kim był? [fragment książki] Kazimierz Mann (19101975) był artystą, lwowiakiem, więźniem stalinowskiego więzienia, bywalcem SPATiF-u, synem, mężem, ojcem. Ze wspomnień jego syna Wojciecha wyłania się postać człowieka niezależnego, zbuntowanego wobec peerelowskiej rzeczywistości, żyjącego po swojemu, ale zawsze na pierwszym miejscu stawiającego najbliższych. Artysta to wzruszająca i zabawna opowieść nie tylko o niezwykłym człowieku, jego talencie i poruszających wyobraźnię dziełach, ale także o sile pamięci i rodzinnych więzi.