Articulate Studio Cookbook. Go from Studio newbie to Studio guru

Robert Kennedy, Robert Kennedy III

More and more companies find they need to build their training courses internally. They are turning to tools like Articulate Studio because it is easy to use and doesn't have a steep learning curve. If you are familiar with Microsoft PowerPoint in any way, you should feel right at home with Articulate Studio.Articulate Studio Cookbook will get you ready to add Articulate Studio to your enterprise toolkit. This book gives you detailed yet simple steps to complete your training course. By following the clear steps in each chapter, you will gain an understanding of the software but also be able to complete specific tasks and common activities.The good thing about this book is that you can start anywhere and get the information that you need for a specific activity. Cross-references are provided if there is a skill located elsewhere that you need to complete a task.It can be frustrating to pick up a new piece of software and not know where to begin. With Articulate Studio, there is a whole suite of software to work with. You need to know how to work with Presenter, Engage, Quizmaker and Encoder to make great Articulate courses. Then, you'll need to know how to put them all together in a way that makes a professional looking, cohesive and smooth-flowing course. We'll make it easy to follow step by step until you have a professional course.Articulate Studio Cookbook will help you go from Studio newbie to Studio guru. Dive in and choose your recipe.

Artificial Intelligence and Expert Systems. Techniques and Applications for Problem Solving

Mercury Learning and Information, I. Gupta, G. Nagpal

This book covers current AI applications and techniques for solving problems and accomplishing tasks. It introduces branches of AI such as formal logic, reasoning, knowledge engineering, expert systems, neural networks, and fuzzy logic. It emphasizes expert systems, with sections on state space search, knowledge engineering, neural networks, fuzzy logic, and Prolog.It begins with an introduction to AI and its applications, setting the stage for foundational concepts. Readers are guided through state space search and heuristic search strategies, crucial for problem-solving in AI. The focus shifts to expert systems, covering their development life cycle, knowledge acquisition, and representation, providing a deep dive into emulating human decision-making.Later chapters cover neural networks and the learning process, essential for creating adaptive systems. Sections on fuzzy logic and fuzzy systems introduce methods for handling uncertainty in AI. Final chapters on programming in logic and advanced Prolog offer practical techniques for AI solutions. This approach equips readers with the skills to apply AI in various domains, enhancing their problem-solving abilities and understanding of intelligent systems.

Artificial Intelligence and Machine Learning Fundamentals. Develop real-world applications powered by the latest AI advances

Zsolt Nagy

Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples.As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law.By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills!

Artificial Intelligence Basics. A Self-Teaching Introduction

Mercury Learning and Information, N. Gupta, R. Mangla

This book is designed as a self-teaching introduction to the fundamental concepts of artificial intelligence (AI). It begins with the history of AI, the Turing test, and early applications, providing a strong foundation. Later chapters cover the basics of searching, game playing, and knowledge representation. The journey continues with detailed explorations of expert systems and machine learning, equipping readers with essential AI techniques.As the course progresses, you will delve into separate programming chapters on Prolog and Python, learning how to implement AI concepts in these languages. These chapters offer practical coding experience, enhancing your understanding of AI programming. The book culminates with a comprehensive chapter on AI machines and robotics, showcasing numerous modern applications and providing a glimpse into the future of AI technology.Understanding these AI concepts is crucial as they form the basis of many modern technologies and applications. This book ensures a smooth transition from a beginner to a proficient AI practitioner, equipped with both theoretical knowledge and practical skills. By the end of the book, you will have a thorough understanding of AI's history, core principles, and practical implementations, ready to apply this knowledge to real-world problems and projects.

Artificial Intelligence By Example. Acquire advanced AI, machine learning, and deep learning design skills - Second Edition

Denis Rothman

AI has the potential to replicate humans in every field. Artificial Intelligence By Example, Second Edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples.This book will make you an adaptive thinker and help you apply concepts to real-world scenarios. Using some of the most interesting AI examples, right from computer programs such as a simple chess engine to cognitive chatbots, 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 Internet of Things (IoT), and develop emotional quotient in chatbots using neural networks such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs).This edition also has new examples for hybrid neural networks, combining reinforcement learning (RL) and deep learning (DL), chained algorithms, combining unsupervised learning with decision trees, random forests, combining DL and genetic algorithms, conversational user interfaces (CUI) for chatbots, neuromorphic computing, and quantum computing.By the end of this book, you will understand the fundamentals of AI and have worked through a number of examples that will help you develop your AI solutions.

Artificial Intelligence By Example. Develop machine intelligence from scratch using real artificial intelligence use cases

Denis 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 for Big Data. Complete guide to automating Big Data solutions using Artificial Intelligence techniques

Anand Deshpande, Manish Kumar

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.

Artificial Intelligence for Cybersecurity. Develop AI approaches to solve cybersecurity problems in your organization

Bojan Kolosnjaji, Huang Xiao, Peng Xu, Apostolis Zarras

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.

Artificial Intelligence for IoT Cookbook. Over 70 recipes for building AI solutions for smart homes, industrial IoT, and smart cities

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.

Artificial Intelligence for Robotics. Build intelligent robots that perform human tasks using AI techniques

Francis X. Govers

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.

Artificial Intelligence for Robotics. Build intelligent robots using ROS 2, Python, OpenCV, and AI/ML techniques for real-world tasks - Second Edition

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 the 21st Century. The Future of Technology and Human Innovation

Mercury Learning and Information, Stephen Lucci, Sarhan M. Musa, Danny Kopec

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.

Artificial Intelligence in Unreal Engine 5. Unleash the power of AI for next-gen game development with UE5 by using Blueprints and C++

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!

Artificial Intelligence, Machine Learning, and Deep Learning. A Practical Guide to Advanced AI Techniques

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.

Artificial Intelligence with Power BI. Take your data analytics skills to the next level by leveraging the AI capabilities in Power BI

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.

Artificial Intelligence with Python. A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

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.

Artificial Intelligence with Python Cookbook. Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6

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.

Artificial Intelligence with Python. Your complete guide to building intelligent apps using Python 3.x - Second Edition

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.

Artificial Vision and Language Processing for Robotics. Create end-to-end systems that can power robots with artificial vision and deep learning techniques

Álvaro Morena Alberola, Gonzalo Molina Gallego, Unai Garay Maestre

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.

Artojaus skundas

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.

Artur. Arthur

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.

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.

Artysta - opowiadanie erotyczne

Alexandra Södergran

Uniwersytet otwiera nowy wydział - Instytut Erotyki, a jej szefem zostaje kontrowersyjny profesor sztuki Clas von Eros. Podczas kursu studenci poznają nietypowe metody szalonego profesora. Na kursie Emma spotyka Rebekę, która jest seksowną i nieujarzmioną artystyczną duszą. Odkrywają świat, o którym nie miały pojęcia.