Download or read book The AI Playground Family Activities and Experiments with Artificial Intelligence written by Ava Arin and published by . This book was released on with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Artificial Intelligence and Playable Media written by Eric Freedman and published by Taylor & Francis. This book was released on 2022-09-02 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to artificial intelligence (AI) through the lens of playable media and explores the impact of such software on everyday life. From video games to robotic companions to digital twins, artificial intelligence drives large sectors of the culture industry where play, media and machine learning coexist. This book illustrates how playable media contribute to our sense of self, while also harnessing our data, tightening our bonds with computation and realigning play with the demands of network logic. Author Eric Freedman examines a number of popular media forms - from the Sony AIBO robotic dog, video game developer Naughty Dog’s Uncharted and The Last of Us franchises, to Peloton’s connected fitness equipment - to lay bare the computational processes that undergird playable media, and addresses the social, cultural, technological and economic forces that continue to shape user-centered experience and design. The case studies are drawn from a number of related research fields, including science and technology studies, media studies and software studies. This book is ideal for media studies students, scholars and practitioners interested in understanding how applied artificial intelligence works in popular, public and visual culture.
Download or read book Handbook of Artificial Intelligence in Education written by Benedict du Boulay and published by Edward Elgar Publishing. This book was released on 2023-01-20 with total page 697 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gathering insightful and stimulating contributions from leading global experts in Artificial Intelligence in Education (AIED), this comprehensive Handbook traces the development of AIED from its early foundations in the 1970s to the present day.
Download or read book Non Formal and Informal Science Learning in the ICT Era written by Michail Giannakos and published by Springer Nature. This book was released on 2020-09-14 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the reader to evidence-based non-formal and informal science learning considerations (including technological and pedagogical innovations) that have emerged in and empowered the information and communications technology (ICT) era. The contributions come from diverse countries and contexts (such as hackerspaces, museums, makerspaces, after-school activities) to support a wide range of educators, practitioners, and researchers (such as K-12 teachers, learning scientists, museum curators, librarians, parents, hobbyists). The documented considerations, lessons learned, and concepts have been extracted using diverse methods, ranging from experience reports and conceptual methods to quantitative studies and field observation using qualitative methods. This volume attempts to support the preparation, set-up, implementation, but also evaluation of informal learning activities to enhance science education.
Download or read book Artificial Intelligence with Python Cookbook written by Ben Auffarth and published by Packt Publishing Ltd. This book was released on 2020-10-30 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: Work through practical recipes to learn how to solve complex machine learning and deep learning problems using Python Key FeaturesGet up and running with artificial intelligence in no time using hands-on problem-solving recipesExplore popular Python libraries and tools to build AI solutions for images, text, sounds, and imagesImplement NLP, reinforcement learning, deep learning, GANs, Monte-Carlo tree search, and much moreBook Description 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. What you will learnImplement data preprocessing steps and optimize model hyperparametersDelve into representational learning with adversarial autoencodersUse active learning, recommenders, knowledge embedding, and SAT solversGet to grips with probabilistic modeling with TensorFlow probabilityRun object detection, text-to-speech conversion, and text and music generationApply swarm algorithms, multi-agent systems, and graph networksGo from proof of concept to production by deploying models as microservicesUnderstand how to use modern AI in practiceWho this book is for This AI machine learning book is for Python developers, data scientists, machine learning engineers, and deep learning practitioners who want to learn how to build artificial intelligence solutions with easy-to-follow recipes. You’ll also find this book useful if you’re looking for state-of-the-art solutions to perform different machine learning tasks in various use cases. Basic working knowledge of the Python programming language and machine learning concepts will help you to work with code effectively in this book.
Download or read book Teaching AI written by Michelle Zimmerman and published by International Society for Technology in Education. This book was released on 2018-12-15 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get the tools, resources and insights you need to explore artificial intelligence in the classroom and explore what students need to know about living in a world with AI. For many, artificial intelligence, or AI, may seem like science fiction, or inherently overwhelming. The reality is that AI is already being applied in industry and, for many of us, in our daily lives as well. A better understanding of AI can help you make informed decisions in the classroom that will impact the future of your students. Drawing from a broad variety of expert voices from countries including Australia, Japan, and South Africa, as well as educators from around the world and underrepresented student voices, this book explores some of the ways AI can improve education. These include educating learners about AI, teaching them about living in a world where they will be surrounded by AI and helping educators understand how they can use AI to augment human ability. Each chapter offers activities and questions to help you deepen your understanding, try out new concepts and reflect on the information presented. Links to media artifacts from trusted sources will help make your learning experience more dynamic while also providing additional resources to use in your classroom. This book: • Offers a unique approach to the topic, with chapter opening scenes, case studies, and featured student voices. • Discusses a variety of ways to teach students about AI, through design thinking, project-based learning and STEM connections. • Includes lesson ideas, activities and tools for exploring AI with your students. • Includes references to films and other media you can use in class to start discussions on AI or inspire design thinking and STEM projects. In Teaching AI, you’ll learn what AI is, how it works and how to use it to better prepare students in a world with increased human-computer interaction.
Download or read book Artificial Intelligence with Python written by Prateek Joshi and published by Packt Publishing Ltd. This book was released on 2017-01-27 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.
Download or read book The Empathy Diaries written by Sherry Turkle and published by Penguin. This book was released on 2021-03-02 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Winner of the 2021 National Jewish Book Award in Autobiography & Memoir! “A beautiful book… an instant classic of the genre.” —Dwight Garner, New York Times • A New York Times Critics’ Top Book of 2021 • A New York Times Book Review Editors' Choice • Named a Best Nonfiction Book of 2021 by Kirkus MIT psychologist and bestselling author of Reclaiming Conversation and Alone Together, Sherry Turkle's intimate memoir of love and work For decades, Sherry Turkle has shown how we remake ourselves in the mirror of our machines. Here, she illuminates our present search for authentic connection in a time of uncharted challenges. Turkle has spent a career composing an intimate ethnography of our digital world; now, marked by insight, humility, and compassion, we have her own. In this vivid and poignant narrative, Turkle ties together her coming-of-age and her pathbreaking research on technology, empathy, and ethics. Growing up in postwar Brooklyn,Turkle searched for clues to her identity in a house filled with mysteries. She mastered the codes that governed her mother's secretive life. She learned never to ask about her absent scientist father--and never to use his name, her name. Before empathy became a way to find connection, it was her strategy for survival. Turkle's intellect and curiosity brought her to worlds on the threshold of change. She learned friendship at a Harvard-Radcliffe on the cusp of coeducation during the antiwar movement, she mourned the loss of her mother in Paris as students returned from the 1968 barricades, and she followed her ambition while fighting for her place as a woman and a humanist at MIT. There, Turkle found turbulent love and chronicled the wonders of the new computer culture, even as she warned of its threat to our most essential human connections. The Empathy Diaries captures all this in rich detail--and offers a master class in finding meaning through a life's work.
Download or read book Learning in the Making written by Jackie Gerstein and published by ASCD. This book was released on 2019-08-27 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Making is a dynamic and hands-on learning experience that directly connects with long-established theories of how learning occurs. Although it hasn't been a focus of traditional education or had a prominent place in the classroom, teachers find it an accessible, exciting option for their students. The maker movement brings together diverse communities dedicated to creating things through hands-on projects. Makers represent a growing community of builders and creators—engineers, scientists, artists, DIYers, and hobbyists of all ages, interests, and skill levels—who engage in experimentation and cooperation. Transferring this innovative, collaborative, and creative mindset to the classroom is the goal of maker education. A makerspace isn't about the latest tools and equipment. Rather, it's about the learning experiences and opportunities provided to students. Maker education spaces can be as large as a school workshop with high-tech tools (e.g., 3D printers and laser cutters) or as small and low-tech as the corner of a classroom with bins of craft supplies. Ultimately, it's about the mindset—not the "stuff." In Learning in the Making, Jackie Gerstein helps you plan, execute, facilitate, and reflect on maker experiences so both you and your students understand how the knowledge, skills, and attitudes of maker education transfer to real-world settings. She also shows how to seamlessly integrate these activities into your curriculum with intention and a clearly defined purpose.
Download or read book Coding as a Playground written by Marina Umaschi Bers and published by Routledge. This book was released on 2020-10-05 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Coding as a Playground, Second Edition focuses on how young children (aged 7 and under) can engage in computational thinking and be taught to become computer programmers, a process that can increase both their cognitive and social-emotional skills. Learn how coding can engage children as producers—and not merely consumers—of technology in a playful way. You will come away from this groundbreaking work with an understanding of how coding promotes developmentally appropriate experiences such as problem-solving, imagination, cognitive challenges, social interactions, motor skills development, emotional exploration, and making different choices. Featuring all-new case studies, vignettes, and projects, as well as an expanded focus on teaching coding as a new literacy, this second edition helps you learn how to integrate coding into different curricular areas to promote literacy, math, science, engineering, and the arts through a project-based approach and a positive attitude to learning.
Download or read book Design User Experience and Usability User Experience in Advanced Technological Environments written by Aaron Marcus and published by Springer. This book was released on 2019-07-10 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume set LNCS 11583, 11584, 11585, and 11586 constitutes the proceedings of the 8th International Conference on Design, User Experience, and Usability, DUXU 2019, held as part of the 21st International Conference, HCI International 2019, which took place in Orlando, FL, USA, in July 2019. The total of 1274 papers and 209 posters included in the 35 HCII 2019 proceedings volumes was carefully reviewed and selected from 5029 submissions. DUXU 2019 includes a total of 167 regular papers, organized in the following topical sections: design philosophy; design theories, methods, and tools; user requirements, preferences emotions and personality; visual DUXU; DUXU for novel interaction techniques and devices; DUXU and robots; DUXU for AI and AI for DUXU; dialogue, narrative, storytelling; DUXU for automated driving, transport, sustainability and smart cities; DUXU for cultural heritage; DUXU for well-being; DUXU for learning; user experience evaluation methods and tools; DUXU practice; DUXU case studies.
Download or read book Design For Kids written by Debra Levin Gelman and published by Rosenfeld Media. This book was released on 2014-07-08 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emotion. Ego. Impatience. Stubbornness. Characteristics like these make creating sites and apps for kids a daunting proposition. However, with a bit of knowledge, you can design experiences that help children think, play, and learn. With Design for Kids, you'll learn how to create digital products for today's connected generation.
Download or read book Open Education from OERs to MOOCs written by Mohamed Jemni and published by Springer. This book was released on 2016-08-11 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the emerging phenomenon of Massive Open Online Courses (MOOCs), which are changing the fundamental underpinning of educational systems worldwide and forcing educators and other stakeholders to re-think the way instruction is currently conducted. It examines the origins of MOOCs within the context of the open education movement, and reviews current policies, guidelines and initiatives to promote the use of ICT in education through the development and use of open educational resources from international practices, including implementation and licensing issues. With a particular focus on new trends in MOOCs, the book explores the potential of this emerging paradigm, its rise and its impact on openness in education. Various new initiatives are also presented, including more global examples and those that are more geared to certain regional contexts. The book is intended as a stepping stone for both researchers and practitioners who are looking to approach MOOCs from a holistic perspective.
Download or read book Robots for Kids written by Allison Druin and published by Morgan Kaufmann. This book was released on 2000 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work brings together the insights of ten designers, researchers, and educators, each invited to contribute a chapter that relates his or her experience develping or using a children's robotic learning device. This growing area of endeavour is expected to have prodound and long-lasting effets on the ways children learn and develop, and its participants come from a wide range of backgrounds.
Download or read book Parenting Matters written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2016-11-21 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decades of research have demonstrated that the parent-child dyad and the environment of the familyâ€"which includes all primary caregiversâ€"are at the foundation of children's well- being and healthy development. From birth, children are learning and rely on parents and the other caregivers in their lives to protect and care for them. The impact of parents may never be greater than during the earliest years of life, when a child's brain is rapidly developing and when nearly all of her or his experiences are created and shaped by parents and the family environment. Parents help children build and refine their knowledge and skills, charting a trajectory for their health and well-being during childhood and beyond. The experience of parenting also impacts parents themselves. For instance, parenting can enrich and give focus to parents' lives; generate stress or calm; and create any number of emotions, including feelings of happiness, sadness, fulfillment, and anger. Parenting of young children today takes place in the context of significant ongoing developments. These include: a rapidly growing body of science on early childhood, increases in funding for programs and services for families, changing demographics of the U.S. population, and greater diversity of family structure. Additionally, parenting is increasingly being shaped by technology and increased access to information about parenting. Parenting Matters identifies parenting knowledge, attitudes, and practices associated with positive developmental outcomes in children ages 0-8; universal/preventive and targeted strategies used in a variety of settings that have been effective with parents of young children and that support the identified knowledge, attitudes, and practices; and barriers to and facilitators for parents' use of practices that lead to healthy child outcomes as well as their participation in effective programs and services. This report makes recommendations directed at an array of stakeholders, for promoting the wide-scale adoption of effective programs and services for parents and on areas that warrant further research to inform policy and practice. It is meant to serve as a roadmap for the future of parenting policy, research, and practice in the United States.
Download or read book Stealth Assessment written by Valerie Jean Shute and published by MIT Press. This book was released on 2013 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: An approach to performance-based assessments that embeds assessments in digital games in order to measure how students are progressing toward targeted goals. To succeed in today's interconnected and complex world, workers need to be able to think systemically, creatively, and critically. Equipping K-16 students with these twenty-first-century competencies requires new thinking not only about what should be taught in school but also about how to develop valid assessments to measure and support these competencies. In Stealth Assessment, Valerie Shute and Matthew Ventura investigate an approach that embeds performance-based assessments in digital games. They argue that using well-designed games as vehicles to assess and support learning will help combat students' growing disengagement from school, provide dynamic and ongoing measures of learning processes and outcomes, and offer students opportunities to apply such complex competencies as creativity, problem solving, persistence, and collaboration. Embedding assessments within games provides a way to monitor players' progress toward targeted competencies and to use that information to support learning. Shute and Ventura discuss problems with such traditional assessment methods as multiple-choice questions, review evidence relating to digital games and learning, and illustrate the stealth-assessment approach with a set of assessments they are developing and embedding in the digital game Newton's Playground. These stealth assessments are intended to measure levels of creativity, persistence, and conceptual understanding of Newtonian physics during game play. Finally, they consider future research directions related to stealth assessment in education.
Download or read book Deep Learning Illustrated written by Jon Krohn and published by Addison-Wesley Professional. This book was released on 2019-08-05 with total page 725 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come." – Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep Learning Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline’s techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn. World-class instructor and practitioner Jon Krohn–with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens–presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered. You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms. Discover what makes deep learning systems unique, and the implications for practitioners Explore new tools that make deep learning models easier to build, use, and improve Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
