chatbot questions and answers list: Intelligent Tutoring Systems Alessandro Micarelli, John Stamper, Kitty Panourgia, 2016-06-01 This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Tutoring Systems, ITS 2016, held in Zagreb, Croatia, in June 2016. The 20 revised full papers, 32 short papers, 35 posters, and 7 young researchers’ track papers presented in this volume were carefully reviewed and selected from 147 submissions. The specific theme of the ITS 2016 conference is Adaptive Learning in Real World Contexts. ITS 2016 covers a wide range of topics such as: intelligent tutoring; informal learning environments, learning as a side effect of interactions; collaborative and group learning, communities of practice and social networks; simulation-based learning and serious games; dialogue and discourse during learning interactions; co-adaptation between technologies and human learning; ubiquitous and mobile learning environments; empirical studies of learning with technologies, understanding human learning on the web; adaptive support for learning, models of learners, diagnosis and feedback; modeling of motivation, metacognition, and affect aspects of learning; recommender systems for learning; virtual pedagogical agents and learning companions; ontological modeling, semantic web technologies and standards for learning; multi-agent and service oriented architectures for learning and tutoring environments; educational exploitation of data mining and machine learning techniques; instructional design principles or design patterns for educational environments; authoring tools and development methodologies for advanced learning technologies; domain-specific learning technologies, e.g. language, mathematics, reading, science, medicine, military, and industry; non conventional interactions between artificial intelligence and human learning; and privacy and security in e-learning environments. |
chatbot questions and answers list: Technocolonialism Mirca Madianou, 2024-10-16 With over 300 million people in need of humanitarian assistance, and with emergencies and climate disasters becoming more common, AI and big data are being championed as forces for good and as solutions to the complex challenges of the aid sector. This book argues, however, that digital innovation engenders new forms of violence and entrenches power asymmetries between the global South and North. Madianou develops a new concept, technocolonialism, to capture how the convergence of digital developments with humanitarian structures, state power and market forces reinvigorates and reshapes colonial legacies. The concept of technocolonialism shifts the attention to the constitutive role that digital infrastructures, data and AI play in accentuating inequities between aid providers and people in need. Drawing on ten years of research on the uses of digital technologies in humanitarian operations, the book examines a range of practices: from the normalization of biometric technologies and the datafication of humanitarian operations to experimentation in refugee camps, which are treated as laboratories for technological pilots. In so doing, the book opens new ground in the fields of humanitarianism and critical AI studies, and in the debates in postcolonial studies, by highlighting the fundamental role of digital technologies in reworking colonial genealogies. |
chatbot questions and answers list: Design Research in Information Systems Alan Hevner, Samir Chatterjee, 2010-06-14 It is 5 years since the publication of the seminal paper on “Design Science in Information Systems Research” by Hevner, March, Park, and Ram in MIS Quarterly and the initiation of the Information Technology and Systems department of the Communications of AIS. These events in 2004 are markers in the move of design science to the forefront of information systems research. A suf cient interval has elapsed since then to allow assessment of from where the eld has come and where it should go. Design science research and behavioral science research started as dual tracks when IS was a young eld. By the 1990s, the in ux of behavioral scientists started to dominate the number of design scientists and the eld moved in that direction. By the early 2000s, design people were having dif culty publishing in mainline IS journals and in being tenured in many universities. Yes, an annual Workshop on Information Technology and Systems (WITS) was established in 1991 in conju- tion with the International Conference on Information Systems (ICIS) and grew each year. But that was the extent of design science recognition. Fortunately, a revival is underway. By 2009, when this foreword was written, the fourth DESRIST c- ference has been held and plans are afoot for the 2010 meeting. Design scientists regained respect and recognition in many venues where they previously had little. |
chatbot questions and answers list: Advanced Computational Methods for Knowledge Engineering Thanh Binh Nguyen, Tien van Do, Hoai An Le Thi, Ngoc Thanh Nguyen, 2016-05-01 This proceedings consists of 20 papers which have been selected and invited from the submissions to the 4th International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2016) held on 2-3 May, 2016 in Laxenburg, Austria. The conference is organized into 5 sessions: Advanced Optimization Methods and Their Applications, Models for ICT applications, Topics on discrete mathematics, Data Analytic Methods and Applications and Feature Extractio, respectively. All chapters in the book discuss theoretical and practical issues connected with computational methods and optimization methods for knowledge engineering. The editors hope that this volume can be useful for graduate and Ph.D. students and researchers in Applied Sciences, Computer Science and Applied Mathematics. |
chatbot questions and answers list: Machine Learning Solutions Jalaj Thanaki, 2018-04-27 Practical, hands-on solutions in Python to overcome any problem in Machine Learning Key Features Master the advanced concepts, methodologies, and use cases of machine learning Build ML applications for analytics, NLP and computer vision domains Solve the most common problems in building machine learning models Book Description Machine learning (ML) helps you find hidden insights from your data without the need for explicit programming. This book is your key to solving any kind of ML problem you might come across in your job. You’ll encounter a set of simple to complex problems while building ML models, and you'll not only resolve these problems, but you’ll also learn how to build projects based on each problem, with a practical approach and easy-to-follow examples. The book includes a wide range of applications: from analytics and NLP, to computer vision domains. Some of the applications you will be working on include stock price prediction, a recommendation engine, building a chat-bot, a facial expression recognition system, and many more. The problem examples we cover include identifying the right algorithm for your dataset and use cases, creating and labeling datasets, getting enough clean data to carry out processing, identifying outliers, overftting datasets, hyperparameter tuning, and more. Here, you'll also learn to make more timely and accurate predictions. In addition, you'll deal with more advanced use cases, such as building a gaming bot, building an extractive summarization tool for medical documents, and you'll also tackle the problems faced while building an ML model. By the end of this book, you'll be able to fine-tune your models as per your needs to deliver maximum productivity. What you will learn Select the right algorithm to derive the best solution in ML domains Perform predictive analysis effciently using ML algorithms Predict stock prices using the stock index value Perform customer analytics for an e-commerce platform Build recommendation engines for various domains Build NLP applications for the health domain Build language generation applications using different NLP techniques Build computer vision applications such as facial emotion recognition Who this book is for This book is for the intermediate users such as machine learning engineers, data engineers, data scientists, and more, who want to solve simple to complex machine learning problems in their day-to-day work and build powerful and efficient machine learning models. A basic understanding of the machine learning concepts and some experience with Python programming is all you need to get started with this book. |
chatbot questions and answers list: Smart Mobile Communication & Artificial Intelligence Michael E. Auer, Thrasyvoulos Tsiatsos, 2024 Zusammenfassung: Interactive mobile technologies are today the core of many--if not all--fields of society. Not only the younger generation of students expects a mobile working and learning environment. And nearly daily new ideas, technologies, and solutions boost this trend. To discuss and assess the trends in the interactive mobile field are the aims connected with the 15th International Conference on Interactive Mobile Communication, Technologies, and Learning (IMCL2023), which was held 9-10 November 2023. Since its beginning in 2006, this conference is devoted to new approaches in interactive mobile technologies with a focus on learning. Nowadays, the IMCL conferences are a forum of the exchange of new research results and relevant trends as well as the exchange of experiences and examples of good practice. Interested readership includes policy makers, academics, educators, researchers in pedagogy and learning theory, schoolteachers, learning Industry, further education lecturers, etc |
chatbot questions and answers list: AI Chatbots James Crowder, 2023-11-02 This book explores the subject of artificial psychology from the standpoint of how online Chatbots have infiltrated and affected societies and the world in general. The book explores the psychological effects of depending on an online entity for our needs – even if it’s a reminder of scheduled events. The author provides insight into the notion of human-Chatbot exchanges, understanding, and false emotions both from the Chatbot and from the human. He goes on to investigate and discuss the dangers of too much reliance on technology that learns from a variety of sources and how some sources can negatively influence Chatbots, and by doing so, negatively affect people. The book also discusses human-Chatbot interactions and the natural language interface(s) required to respond adequately to humans. Lastly, the author explores the notion of ethical considerations for people, based on their interactions with Chatbots, including information based on cultural differences between different regions of the world. |
chatbot questions and answers list: Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry Chkoniya, Valentina, 2021-06-25 The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational limits to support their decision-making processes. This book aims to provide an overview of the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries—from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students. |
chatbot questions and answers list: Developing Enterprise Chatbots Boris Galitsky, 2019-04-04 A chatbot is expected to be capable of supporting a cohesive and coherent conversation and be knowledgeable, which makes it one of the most complex intelligent systems being designed nowadays. Designers have to learn to combine intuitive, explainable language understanding and reasoning approaches with high-performance statistical and deep learning technologies. Today, there are two popular paradigms for chatbot construction: 1. Build a bot platform with universal NLP and ML capabilities so that a bot developer for a particular enterprise, not being an expert, can populate it with training data; 2. Accumulate a huge set of training dialogue data, feed it to a deep learning network and expect the trained chatbot to automatically learn “how to chat”. Although these two approaches are reported to imitate some intelligent dialogues, both of them are unsuitable for enterprise chatbots, being unreliable and too brittle. The latter approach is based on a belief that some learning miracle will happen and a chatbot will start functioning without a thorough feature and domain engineering by an expert and interpretable dialogue management algorithms. Enterprise high-performance chatbots with extensive domain knowledge require a mix of statistical, inductive, deep machine learning and learning from the web, syntactic, semantic and discourse NLP, ontology-based reasoning and a state machine to control a dialogue. This book will provide a comprehensive source of algorithms and architectures for building chatbots for various domains based on the recent trends in computational linguistics and machine learning. The foci of this book are applications of discourse analysis in text relevant assessment, dialogue management and content generation, which help to overcome the limitations of platform-based and data driven-based approaches. Supplementary material and code is available at https://github.com/bgalitsky/relevance-based-on-parse-trees |
chatbot questions and answers list: Fuzzy Systems and Data Mining VIII A.J. Tallón-Ballesteros, 2022-11-04 Fuzzy logic is vital to applications in the electrical, industrial, chemical and engineering realms, as well as in areas of management and environmental issues. Data mining is indispensible in dealing with big data, massive data, and scalable, parallel and distributed algorithms. This book presents papers from FSDM 2022, the 8th International Conference on Fuzzy Systems and Data Mining. The conference, originally scheduled to take place in Xiamen, China, was held fully online from 4 to 7 November 2022, due to ongoing restrictions connected with the COVID-19 pandemic. This year, FSDM received 196 submissions, of which 47 papers were ultimately selected for presentation and publication after a thorough review process, taking into account novelty, and the breadth and depth of research themes falling under the scope of FSDM. This resulted in an acceptance rate of 23.97%. Topics covered include fuzzy theory, algorithms and systems, fuzzy applications, data mining and the interdisciplinary field of fuzzy logic and data mining. Offering an overview of current research and developments in fuzzy logic and data mining, the book will be of interest to all those working in the field of data science. |
chatbot questions and answers list: 40 Creative Ideas for Making Money with ChatGPT Martín Arellano, |
chatbot questions and answers list: ChatGPT: Potential Usecases The Technology Edits, 2023-02-10 ChatGPT: 100+ Potential Usecases Table of Contents 1. ChatGPT as Customer service Chatbots 2. ChatGPT as Virtual personal assistants 3. ChatGPT as Language translation services 4. ChatGPT as Personalized news aggregation 5. ChatGPT as Online shopping assistants 6. ChatGPT as Educational tutors 7. ChatGPT as Virtual event coordinators 8. ChatGPT as Healthcare virtual assistants 9. ChatGPT as Entertainment and trivia games 10. ChatGPT as Virtual financial advisors 11. ChatGPT as Virtual HR assistants 12. ChatGPT as Recipe and cooking suggestion chatbots 13. ChatGPT as Virtual travel agents 14. ChatGPT as Virtual personal stylists and fashion advisors 15. ChatGPT as Virtual real estate agents 16. ChatGPT as Virtual legal assistants 17. ChatGPT as Virtual mental health therapists 18. ChatGPT as Virtual event planners 19. ChatGPT as Virtual tour guides 20. ChatGPT as Virtual car sales assistants 21. ChatGPT as Virtual hotel booking assistants 22. ChatGPT as Virtual music and movie recommendations 23. ChatGPT as Virtual personal fitness trainers 24. ChatGPT as Virtual career coaches 25. ChatGPT as Virtual language tutors 26. ChatGPT as Virtual pet care advice chatbots 27. ChatGPT as Virtual home improvement advisors 28. ChatGPT as Virtual automotive maintenance advisors 29. ChatGPT as Virtual gardening advisors 30. ChatGPT as Virtual nutritionists 31. ChatGPT as Virtual beauty and skincare advisors 32. ChatGPT as Virtual home security advisors 33. ChatGPT as Virtual dating coaches 34. ChatGPT as Virtual astrologers and horoscope chatbots 35. ChatGPT as Virtual wedding planners 36. ChatGPT as Virtual gift suggestions chatbots 37. ChatGPT as Virtual baby care advisors 38. ChatGPT as Virtual household chore managers 39. ChatGPT as Virtual home organization advisors 40. ChatGPT as Virtual personal productivity coaches 41. ChatGPT as Virtual resume and cover letter builders 42. ChatGPT as Virtual job search assistants 43. ChatGPT as Virtual contract and document review chatbots 44. ChatGPT as Virtual auction assistants 45. ChatGPT as Virtual survey and market research chatbots 46. ChatGPT as Virtual lead generation chatbots 47. ChatGPT as Virtual sales and marketing chatbots 48. ChatGPT as Virtual customer engagement chatbots 49. ChatGPT as Virtual appointment scheduling chatbots 50. ChatGPT as Virtual brand representatives 51. ChatGPT as Virtual customer feedback and satisfaction chatbots 52. ChatGPT as Virtual market analysis chatbots 53. ChatGPT as Virtual project management assistants 54. ChatGPT as Virtual team collaboration chatbots 55. ChatGPT as Virtual workplace wellness and mental health chatbots 56. ChatGPT as Virtual supply chain management chatbots 57. ChatGPT as Virtual HR benefits and payroll chatbots 58. ChatGPT as Virtual training and development chatbots 59. ChatGPT as Virtual time tracking and invoicing chatbots 60. ChatGPT as Virtual event registration and ticketing chatbots 61. ChatGPT as Virtual payment processing chatbots 62. ChatGPT as Virtual fundraising and donor management chatbots 63. ChatGPT as Virtual charity and nonprofit support chatbots 64. ChatGPT as Virtual voting and political campaign chatbots 65. ChatGPT as Virtual sports and fitness chatbots 66. ChatGPT as Virtual weather and climate chatbots 67. ChatGPT as Virtual stock market and financial news chatbots 68. ChatGPT as Virtual local business directories and reviews chatbots 69. ChatGPT as Virtual event and concert ticket sales chatbots 70. ChatGPT as Virtual social media management chatbots 71. ChatGPT as Virtual email and messaging chatbots 72. ChatGPT as Virtual telecommunication chatbots 73. ChatGPT as Virtual video conferencing and virtual event chatbots 74. ChatGPT as Virtual digital signage chatbots 75. ChatGPT as Virtual digital media distribution chatbots 76. ChatGPT as Virtual graphic design chatbots 77. ChatGPT as Virtual website design and development chatbots 78. ChatGPT as Virtual software and app development chatbots 79. ChatGPT as Virtual cloud computing chatbots 80. ChatGPT as Virtual IT support chatbots 81. ChatGPT as Virtual cybersecurity chatbots 82. ChatGPT as Virtual network administration chatbots 83. ChatGPT as Virtual data management chatbots 84. ChatGPT as Virtual big data analysis chatbots 85. ChatGPT as Virtual machine learning and artificial intelligence chatbots 86. ChatGPT as Virtual blockchain and cryptocurrency chatbots 87. ChatGPT as Virtual internet of things (IoT) chatbots 88. ChatGPT as Virtual smart home automation chatbots 89. ChatGPT as Virtual automotive technology chatbots 90. ChatGPT as Virtual industrial automation and manufacturing chatbots 91. ChatGPT as Virtual renewable energy and sustainability chatbots 92. ChatGPT as Virtual environmental science and conservation chatbots 93. ChatGPT as Virtual space and astronomy chatbots 94. ChatGPT as Virtual animal and wildlife conservation chatbots 95. ChatGPT as Virtual history and culture chatbots 96. ChatGPT as Virtual geography and maps chatbots 97. ChatGPT as Virtual religious studies and philosophy chatbots 98. ChatGPT as Virtual big data analysis chatbots 99. ChatGPT as Virtual machine learning and artificial intelligence chatbots 100. ChatGPT as Virtual blockchain and cryptocurrency chatbots |
chatbot questions and answers list: Learning Technology for Education Challenges Lorna Uden, Dario Liberona, 2023-06-09 This book constitutes the refereed proceedings of the International Workshop on Learning Technology for Education Challenges, LTEC 2023, held in Bangkok, Thailand, during July 24–27, 2023. The 27 full papers included in this book were carefully reviewed and selected from 53 submissions. They were organized in topical sections as follows: serious games and virtual learning environments; learning practices and methodologies; learning technologies; learning mehtodologies and models; learning technologies performance. |
chatbot questions and answers list: Programming the Microsoft Bot Framework Joe Mayo, 2017-11-21 This is the only comprehensive, authoritative guide to building Conversational User Interfaces (CUI, a.k.a. bots, chatbots, or chatterbots) with the Microsoft Bot Framework. Reflecting the next radical revolution in human-computer interaction, it will help you leverage advanced artificial intelligence (AI) and natural language processing to empower new and existing applications with stunningly intuitive conversational interfaces. Long-time Microsoft MVP Joe Mayo begins with high-level explanations of what Microsoft Bot Framework is, what you can do with it, and why it matters so much. Next, he presents the foundational knowledge you need to start creating real bots and CUIs. Step by step, you'll learn how to build message dialogs, manage conversations, interact with framework APIs, and incorporate powerful natural language processing with Microsoft's advanced Language Understanding Intelligent Service (LUIS). Mayo also offers detailed guidance on deploying your customized bots to key platforms such as Slack, Skype, and Facebook Messenger. Throughout, Mayo's practical examples combine code with clear explanations of when and why you would perform each task. From start to finish, Programming the Microsoft Bot Framework is relentlessly practical, helping you translate the advanced magic of intelligent bots into real solutions right now. |
chatbot questions and answers list: Handbook of Research on Technology Applications for Effective Customer Engagement Mohd Suki, Norazah, 2020-09-04 In the challenging digital economy, bridging the gap between the external stakeholder and business entities through effective applications of technology carries more importance than ever before. By building a strong online presence and maintaining a long-lasting relationship with valuable customers through high-quality customer experience, companies continue to thrive during this digital age. The Handbook of Research on Technology Applications for Effective Customer Engagement is a pivotal reference source that provides vital research on the utilization of the best research practices for consumer satisfaction and loyalty. While highlighting topics such as target marketing, consumer behavior, and brand equity, this publication explores the applications of modern technology in marketing as well as recent business activities of international companies. This book is ideally designed for business professionals, practitioners, marketers, advertisers, brand managers, retailers, managers, academics, researchers, and graduate-level students. |
chatbot questions and answers list: ECKM 2023 24th European Conference on Knowledge Managemen Vol 1 , 2023-09-07 |
chatbot questions and answers list: Handbook of Research on Innovative Management Using AI in Industry 5.0 Garg, Vikas, Goel, Richa, 2021-11-19 There is no industry left where artificial intelligence is not used in some capacity. The application of this technology has already stretched across a multitude of domains including law and policy; it will soon permeate areas beyond anyone’s imagination. Technology giants such as Google, Apple, and Facebook are already investing their money, effort, and time toward integrating artificial intelligence. As this technology continues to develop and expand, it is critical for everyone to understand the various applications of artificial intelligence and its full potential. The Handbook of Research on Innovative Management Using AI in Industry 5.0 uncovers new and innovative features of artificial intelligence and how it can help in raising economic efficiency at both micro and macro levels and provides a deeper understanding of the relevant aspects of artificial intelligence impacting efficacy for better output. Covering topics such as consumer behavior, information technology, and personalized banking, it is an ideal resource for researchers, academicians, policymakers, business professionals, companies, and students. |
chatbot questions and answers list: Introducing Azure Bot Service Charles Waghmare, 2019-08-29 See how custom chatbots and Azure Bot Service can resolve common business problems. This book takes you through the many possibilities of bot development from a business point of view, using Microsoft bot technology, and demonstrates how to connect, deploy, and manage them. Starting with an introduction to chatbots and their features you will go through the design and implementation of Azure chatbots. This will set the foundation for the rest of the book before you learn how to create and manage messages in chatbots. You’ll then see how to deploy your chatbot in different business scenarios and how to integrate Azure chatbots with different applications such as Facebook and Twitter. To really allow you to demonstrate business value, Introducing Azure Bot Service covers tips on enhancing customer satisfaction and developing insights by analyzing customer behavior. This knowledge will help you understand how artificial intelligence techniques such as chatbots help your organization undergo digital transformation. After reading this book, you will be ready to build chatbots using Microsoft Azure, deploy them in different business scenarios, and measure the benefits of chatbots. What You Will Learn Build time-saving chatbots using Azure Bot Service Engage in proactive customer interaction Integrate chatbots as a key aspect of your business strategy Improve customer satisfaction Ease into digital transformation using Azure chatbots Who This Book Is For Developers who are interested in building chatbots. |
chatbot questions and answers list: Machine Vision for Industry 4.0 Roshani Raut, Salahddine Krit, Prasenjit Chatterjee, 2022-03-23 This book discusses the use of machine vision and technologies in specific engineering case studies and focuses on how machine vision techniques are impacting every step of industrial processes and how smart sensors and cognitive big data analytics are supporting the automation processes in Industry 4.0 applications. Industry 4.0, the Fourth Industrial Revolution, combines traditional manufacturing with automation and data exchange. Machine vision is used in the industry for reliable product inspections, quality control, and data capture solutions. It combines different technologies to provide important information from the acquisition and analysis of images for robot-based inspection and guidance. Features Presents a comprehensive guide on how to use machine vision for Industry 4.0 applications, such as analysis of images for automated inspections, object detection, object tracking, and more Includes case studies of Robotics Internet of Things with its current and future applications in healthcare, agriculture, and transportation Highlights the inclusion of impaired people in the industry, for example, an intelligent assistant that helps deaf-mute individuals to transmit instructions and warnings in a manufacturing process Examines the significant technological advancements in machine vision for Industrial Internet of Things and explores the commercial benefits using real-world applications from healthcare to transportation Discusses a conceptual framework of machine vision for various industrial applications The book addresses scientific aspects for a wider audience such as senior and junior engineers, undergraduate and postgraduate students, researchers, and anyone interested in the trends, development, and opportunities for machine vision for Industry 4.0 applications. |
chatbot questions and answers list: HCI International 2020 – Late Breaking Papers: Cognition, Learning and Games Constantine Stephanidis, Don Harris, Wen-Chin Li, Dylan D. Schmorrow, Cali M. Fidopiastis, Panayiotis Zaphiris, Andri Ioannou, Xiaowen Fang, Robert A. Sottilare, Jessica Schwarz, 2020-10-03 This book constitutes late breaking papers from the 22nd International Conference on Human-Computer Interaction, HCII 2020, which was held in July 2020. The conference was planned to take place in Copenhagen, Denmark, but had to change to a virtual conference mode due to the COVID-19 pandemic. From a total of 6326 submissions, a total of 1439 papers and 238 posters have been accepted for publication in the HCII 2020 proceedings before the conference took place. In addition, a total of 333 papers and 144 posters are included in the volumes of the proceedings published after the conference as “Late Breaking Work” (papers and posters). These contributions address the latest research and development efforts in the field and highlight the human aspects of design and use of computing systems. |
chatbot questions and answers list: Machine Learning for Kids Dale Lane, 2021-01-19 A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered games and applications using the Scratch programming language. Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help. Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based, award-winning companion website, you'll see how easy it is to add machine learning to your own projects. You don't even need to know how to code! As you work through the book you'll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve their accuracy. You'll turn your models into fun computer games and apps, and see what happens when they get confused by bad data. You'll build 13 projects step-by-step from the ground up, including: • Rock, Paper, Scissors game that recognizes your hand shapes • An app that recommends movies based on other movies that you like • A computer character that reacts to insults and compliments • An interactive virtual assistant (like Siri or Alexa) that obeys commands • An AI version of Pac-Man, with a smart character that knows how to avoid ghosts NOTE: This book includes a Scratch tutorial for beginners, and step-by-step instructions for every project. Ages 12+ |
chatbot questions and answers list: Emotionally Intelligent Design Pamela Pavliscak, 2018-11-21 As technology becomes deeply integrated into every aspect of our lives, we’ve begun to expect more emotionally intelligent interactions. But smartphones don’t know if we’re having a bad day, and cars couldn’t care less about compassion. Technology is developing more IQ, but it still lacks EQ. In this book, Pamela Pavliscak—design researcher and advisor to Fortune 500 companies—explores new research about emotion, new technology that engages emotion, and new emotional design practices. Drawing on her own research and the latest thinking in psychology, neuroscience, and behavioral economics, Pamela shows you how design can help promote emotional well-being. You’ll learn: How design has transformed emotion and how tech is transforming it again New principles for merging emotional intelligence and design thinking How to use a relationship model for framing product interactions and personality Methods for blending well-being interventions with design patterns How emotional resonance can guide designers toward ethical futures Implications of emotionally intelligent technology as it scales from micro- to mega-emotional spheres |
chatbot questions and answers list: New Realities, Mobile Systems and Applications Michael E. Auer, Thrasyvoulos Tsiatsos, 2022-04-08 This book devotes to new approaches in interactive mobile technologies with a focus on learning. Interactive mobile technologies are today the core of many—if not all—fields of society. Not only the younger generation of students expects a mobile working and learning environment. And nearly daily new ideas, technologies and solutions boost this trend. To discuss and assess the trends in the interactive mobile field are the aims connected with the 14th International Conference on Interactive Mobile Communication, Technologies and Learning (IMCL2021), which was held online from 4 to 5 November 2021. Since its beginning in 2006, this conference is devoted to new approaches in interactive mobile technologies with a focus on learning. Nowadays, the IMCL conferences are a forum of the exchange of new research results and relevant trends as well as the exchange of experiences and examples of good practice. Interested readership includes policy makers, academics, educators, researchers in pedagogy and learning theory, school teachers, learning Industry, further education lecturers, etc. |
chatbot questions and answers list: Artificial Intelligence in Business Management Teik Toe Teoh, Yu Jin Goh, 2023-11-26 Artificial intelligence (AI) is rapidly gaining significance in the business world. With more and more organizations adopt AI technologies, there is a growing demand for business leaders, managers, and practitioners who can harness AI’s potential to improve operations, increase efficiency, and drive innovation. This book aims to help management professionals exploit the predictive powers of AI and demonstrate to AI practitioners how to apply their expertise in fundamental business operations. It showcases how AI technology innovations can enhance various aspects of business management, such as business strategy, finance, and marketing. Readers interested in AI for business management will find several topics of particular interest, including how AI can improve decision-making in business strategy, streamline operational processes, and enhance customer satisfaction. As AI becomes an increasingly important tool in the business world, this book offers valuable insights into how it can be applied to various industries and business settings. Through this book, readers will gain a better understanding of how AI can be applied to improve business management practices and practical guidance on how to implement AI projects in a business context. This book also provides practical guides on how to implement AI projects in a business context using Python programming. By reading this book, readers will be better equipped to make informed decisions about how to leverage AI for business success. |
chatbot questions and answers list: Experimenting with Emerging Media Platforms Dan Pacheco, 2023-06-01 Experimenting with Emerging Media Platforms teaches students in media tracks – journalism, advertising, film, and public relations – how to independently field test and evaluate emerging technologies that could impact how media is produced, consumed, and monetized in the future. Taking a unique trial-and-error approach, the author encourages students to go against their desire for perfection and instead plunge into exercises with the full expectation that they will fail many times before they succeed. Through focused assignments, this book provides pointers on how to familiarize oneself with current technology, including extended reality (XR, VR, AR, and MR), open-source coding, photogrammetry, aerial imagery using drones, automation, and artificial intelligence. Readers are invited to create and test their own hypotheses and work outside of their comfort zones to reach conclusions on how a technology could enhance storytelling for a particular audience. Through experimentation guided by workbook exercises, case studies from students and media practitioners, practical tips, and reminders about ethical decision-making, students will learn how to work like explorers and civic hackers to enact change in the media landscape. Readers are invited to share their final field test results online through the book's companion website and social media channels, where the author will post links to further reading, coding templates for simple projects, and short video tutorials. Built around an established course being taught by the author and informed by over 20 years’ experience in media industries, Experimenting with Emerging Media Platforms is essential reading for aspiring media professionals and students undertaking courses such as Emerging Media, Media Innovation, and Media Startups. For additional resources, please see the companion website: www.emergingmediaplatforms.com. |
chatbot questions and answers list: Emerging Technologies for Education Zuzana Kubincová, |
chatbot questions and answers list: Intelligent Systems and Applications Kohei Arai, |
chatbot questions and answers list: Digital Marketing Excellence Dave Chaffey, PR Smith, 2022-07-22 Now in its sixth edition, the hugely popular Digital Marketing Excellence is a practical guide to creating and executing integrated digital marketing plans, combining established approaches to marketing planning with the creative use of new digital models and digital tools. Written by two highly experienced digital marketing consultants, the book shows you how to: Draw up an outline integrated digital marketing plan Evaluate and apply digital marketing principles and models Integrate online and offline communications Implement customer-driven digital marketing as part of digital transformation Reduce costly trial and error Measure and enhance your digital marketing Learn best practices for reaching and engaging your audiences using the key digital marketing platforms. This new edition has been streamlined to seamlessly integrate the latest developments in digital analytics, ethics and privacy, Predictive Analytics, Machine Learning and Artificial Intelligence. Including new international case studies and up-to-date examples throughout, this book cuts through the jargon to show marketers how to leverage data and digital technologies to their advantage. Offering a highly structured and accessible guide to a critical and far-reaching subject, Digital Marketing Excellence, 6th edition, provides a vital reference point for all digital marketing students, and managers involved in digital marketing strategy and implementation. Online resources have been fully updated for the new edition and include a new set of PowerPoint slides and a full test bank of questions and exercises. |
chatbot questions and answers list: EdTech Essentials Monica Burns, 2024 Updated for the AI era, this practical guide demystifies educational technology and explains how to incorporate 12 essential EdTech skills and strategies in every classroom-- |
chatbot questions and answers list: Advances in Knowledge Discovery and Data Mining Hady W. Lauw, Raymond Chi-Wing Wong, Alexandros Ntoulas, Ee-Peng Lim, See-Kiong Ng, Sinno Jialin Pan, 2020-05-08 The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19 pandemic. The 135 full papers presented were carefully reviewed and selected from 628 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: recommender systems; classification; clustering; mining social networks; representation learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal, unstructured and semi-structured data; sentiment analysis; statistical/graphical model; multi-source/distributed/parallel/cloud computing. |
chatbot questions and answers list: Artificial Companion for Second Language Conversation Sviatlana Höhn, 2019-06-21 The research described in this book shows that conversation analysis can effectively model dialogue. Specifically, this work shows that the multidisciplinary field of communicative ICALL may greatly benefit from including Conversation Analysis. As a consequence, this research makes several contributions to the related research disciplines, such as conversation analysis, second-language acquisition, computer-mediated communication, artificial intelligence, and dialogue systems. The book will be of value for researchers and engineers in the areas of computational linguistics, intelligent assistants, and conversational interfaces. |
chatbot questions and answers list: Social Computing and Social Media Adela Coman, Simona Vasilache, 2023-07-08 This two-volume set LNCS 14025 and 14026 constitutes the refereed proceedings of the 15th International Conference on Social Computing and Social Media, SCSM 2023, held as part of the 25th International Conference, HCI International 2023, held in Copenhagen, Denmark in July 2023. The total of 1578 papers and 396 posters included in the HCII 2023 proceedings was carefully reviewed and selected from 7472 submissions. The SCSM 2023 conference offers a wide range of topics related to the design, development, assessment, use, and impact of social media. |
chatbot questions and answers list: Healthcare Analytics and Advanced Computational Intelligence Sushruta Mishra, Meshal Alharbi, Hrudaya Kumar Tripathy, Biswajit Sahoo, Ahmed Alkhayyat, 2024-07-31 This book aims to apply state-of-the-art advanced computational intelligence frameworks in healthcare. It presents recent and real-life applications of computationally intelligent healthcare. It also discusses problems and solutions to remote healthcare and emergency healthcare services. Healthcare Analytics and Advanced Computational Intelligence highlights modern ambient intelligence-enabled healthcare models along with advanced topics like quantum computing in healthcare and cryptomedical systems. Healthcare Analytics and Advanced Computational Intelligence examines designing the latest medical systems and models that will allow the societal acceptance of ambiance computing in healthcare, medical imaging, health analytics, machine intelligence, sensory computing, medical data analytics, disease detection, telemedicine, and their applications. It includes diverse case studies dealing with various clinical-based applications. These intelligent models are primarily structured to deal with complex real-world issues in clinical data analytics, by means of state-of-the-art techniques with general implementation, domain-specific solutions, or hybrid methods which integrate computational intelligence with conventional statistical methods. The book is written for researchers and academicians in diverse areas. Engineers from technical disciplines such as computer engineering are likely to purchase the book. Various sub-streams such as machine learning, big data analytics, healthcare analytics, and computational intelligence will find the book significant for their curriculum. |
chatbot questions and answers list: Web Engineering Tommi Mikkonen, Ralf Klamma, Juan Hernández, 2018-05-24 This book constitutes the refereed proceedings of the 18th International Conference on Web Engineering, ICWE 2018, held in Cáceres, Spain, in June 2018. The 18 full research papers and 17 short papers presented together with 2 practice papers, 6 demonstration papers, and 5 tutorials were carefully reviewed and selected from 103 submissions. The papers cover research areas such as Web application modeling and engineering; Web infrastructures and architectures; execution models; human computation and crowdsourcing applications; Web application composition and mashups; Social Web applications; Semantic Web applications; Web of Things applications; big data and data analytics; and security, privacy, and identity. |
chatbot questions and answers list: Chatbot Research and Design Asbjørn Følstad, Theo Araujo, Symeon Papadopoulos, Effie L.-C. Law, Ewa Luger, Morten Goodwin, Petter Bae Brandtzaeg, 2023-02-01 This book constitutes the proceedings of the 6th International Workshop on Chatbot Research and Design, CONVERSATIONS 2022, which was held during November 2022. The 12 papers included in this volume were carefully reviewed and selected from a total of 27 submissions. They were organized in topical sections named: chatbot users and user experience; chatbot design and applications. |
chatbot questions and answers list: New Trends in Intelligent Software Methodologies, Tools and Techniques H. Fujita, A. Selamat, S. Omatu, 2017-09-07 Software is an essential enabler for science and the new economy. It creates new markets and directions for a more reliable, flexible and robust society and empowers the exploration of our world in ever more depth, but it often falls short of our expectations. Current software methodologies, tools, and techniques are still neither robust nor reliable enough for the constantly evolving market, and many promising approaches have so far failed to deliver the solutions required. This book presents the keynote ‘Engineering Cyber-Physical Systems’ and 64 peer-reviewed papers from the 16th International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques, (SoMeT_17), held in Kitakyushu, Japan, in September 2017, which brought together researchers and practitioners to share original research results and practical development experience in software science and related new technologies. The aim of the SoMeT conferences is to capture the essence of the new state-of-the-art in software science and its supporting technology and to identify the challenges such technology will have to master. The book explores new trends and theories which illuminate the direction of developments in this field, and will be of interest to anyone whose work involves software science and its integration into tomorrow’s global information society. |
chatbot questions and answers list: Natural Language Processing with Python Steven Bird, Ewan Klein, Edward Loper, 2009-06-12 This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify named entities Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful. |
chatbot questions and answers list: Artificial Intelligence for Sustainable Applications K. Umamaheswari, B. Vinoth Kumar, S. K. Somasundaram, 2023-08-22 ARTIFICAL INTELLIGENCE for SUSTAINABLE APPLICATIONS The objective of this book is to leverage the significance of artificial intelligence in achieving sustainable solutions using interdisciplinary research through innovative ideas. With the advent of recent technologies, the demand for Information and Communication Technology (ICT)-based applications such as artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), health care, data analytics, augmented reality/virtual reality, cyber-physical systems, and future generation networks, has increased drastically. In recent years, artificial intelligence has played a more significant role in everyday activities. While AI creates opportunities, it also presents greater challenges in the sustainable development of engineering applications. Therefore, the association between AI and sustainable applications is an essential field of research. Moreover, the applications of sustainable products have come a long way in the past few decades, driven by social and environmental awareness, and abundant modernization in the pertinent field. New research efforts are inevitable in the ongoing design of sustainable applications, which makes the study of communication between them a promising field to explore. This book highlights the recent advances in AI and its allied technologies with a special focus on sustainable applications. It covers theoretical background, a hands-on approach, and real-time use cases with experimental and analytical results. Audience AI researchers as well as engineers in information technology and computer science. |
chatbot questions and answers list: ICT Analysis and Applications Simon Fong, Nilanjan Dey, Amit Joshi, 2022-01-07 This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 6th International Conference on ICT for Sustainable Development (ICT4SD 2021), held in Goa, India, on 5–6 August 2021. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective. |
chatbot questions and answers list: Increasing Naturalness and Flexibility in Spoken Dialogue Interaction Erik Marchi, Sabato Marco Siniscalchi, Sandro Cumani, Valerio Mario Salerno, Haizhou Li, 2021-03-10 This book compiles and presents a synopsis on current global research efforts to push forward the state of the art in dialogue technologies, including advances to language and context understanding, and dialogue management, as well as human–robot interaction, conversational agents, question answering and lifelong learning for dialogue systems. |
Introducing ChatGPT - OpenAI
Nov 30, 2022 · To create a reward model for reinforcement learning, we needed to collect comparison data, which consisted of two or more model responses ranked by quality. To …
AI Chat - DeepAI
AI Chat is an AI chatbot that writes text. You can use it to write stories, messages, or programming code.
Chatbot - Wikipedia
A chatbot (originally chatterbot) [1] is a software application or web interface designed to have textual or spoken conversations.
What is a chatbot? | Microsoft Copilot
A chatbot is any app that users interact with in a conversational way, using text, graphics, or speech. There are many different types of chatbots, but all of them operate much the same …
What Is a Chatbot? Definition, Types, and Examples | Coursera
Oct 28, 2024 · In this article, you'll learn what a chatbot is, types of chatbots, how they work, and several examples of chatbots. If you want to learn more about chatbots, and how to build …
ChatBot® - The Best AI Chatbot Software for Your Website
A chatbot is a digital tool designed to simulate human conversation, often through text-based interactions. It can be powered by AI and handle user queries, automate responses, and assist …
What Is a Chatbot? | IBM
Oct 15, 2021 · Chatbot is the most inclusive, catch-all term. Any software simulating human conversation, whether powered by traditional, rigid decision tree -style menu navigation or …
Introducing ChatGPT - OpenAI
Nov 30, 2022 · To create a reward model for reinforcement learning, we needed to collect comparison data, which …
AI Chat - DeepAI
AI Chat is an AI chatbot that writes text. You can use it to write stories, messages, or programming code.
Chatbot - Wikipedia
A chatbot (originally chatterbot) [1] is a software application or web interface designed to have textual or spoken …
What is a chatbot? | Microsoft Copilot
A chatbot is any app that users interact with in a conversational way, using text, graphics, or speech. There are many …
What Is a Chatbot? Definition, Types, and Examples | Coursera
Oct 28, 2024 · In this article, you'll learn what a chatbot is, types of chatbots, how they work, and several examples of …