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The Rise Of Ai User Applications


The Rise Of Ai User Applications
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The Rise Of Ai User Applications


The Rise Of Ai User Applications
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Author : Svetlana Bialkova
language : en
Publisher: Springer Nature
Release Date : 2024-05-23

The Rise Of Ai User Applications written by Svetlana Bialkova and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-23 with Computers categories.


This monograph introduces readers to core theories and applications in the chatbot AI context. Although AI is attracting significant attention, there is a literature gap and lack of practical guidelines on the key drivers of chatbot efficiency and agency capacity. There is a caveat between algorithmic explanations and actionable understanding, despite the acknowledged importance of inherently human-centric properties. Addressing these gaps, this state-of-the-art book offers a distinctive combination of content, theory, practice evaluation, and a holistic framework encompassing cognitive, emotional and social aspects, focusing on how to enhance AI agency and user experience. The framework aims to drive design, encouraging development of intelligent systems, techniques to evaluate chatbot with purposes, to appropriately meet user needs and market demand for responsible and explainable AI, XAI. Avenues for transforming business and life by implementing new generation AI systems are further discussed, as well as recommendations to overcome consumer resistance and advice for policy measures to reduce risks given the AI boost. While the community is still in an exploratory mode, we hope “The Rise of AI User Applications: Chatbots Integration Foundations and Trends” provides the needed understanding and will inspire researchers across disciplines to combine their efforts and work together on this very intriguing topic.



Artificial Intelligence In Healthcare


Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21

Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.


Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data



Artificial Intelligence In Industrial Applications


Artificial Intelligence In Industrial Applications
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Author : Steven Lawrence Fernandes
language : en
Publisher: Springer Nature
Release Date : 2021-12-07

Artificial Intelligence In Industrial Applications written by Steven Lawrence Fernandes and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-07 with Technology & Engineering categories.


This book highlights the analytics and optimization issues in industry, to propose new approaches, and to present applications of innovative approaches in real facilities. In the past few decades there has been an exponential rise in the application of artificial intelligence for solving complex and intricate problems arising in industrial domain. The versatility of these techniques have made them a favorite among scientists and researchers working in diverse areas. The book is edited to serve a broad readership, including computer scientists, medical professionals, and mathematicians interested in studying computational intelligence and their applications. It will also be helpful for researchers, graduate and undergraduate students with an interest in the fields of Artificial Intelligence and Industrial problems. This book will be a useful resource for researchers, academicians as well as professionals interested in the highly interdisciplinary field of Artificial Intelligence.



Ai Revolution


Ai Revolution
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Author : Tero Ojanperä
language : en
Publisher: CRC Press
Release Date : 2024-11-14

Ai Revolution written by Tero Ojanperä and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-14 with Computers categories.


""The AI Revolution"" is a practical guide to using new AI tools, such as ChatGPT, DALLE and Midjourney. Learn how to multiply your productivity by guiding or prompting AI in various ways. The book also introduces Microsoft Copilot, Google Bard, and Adobe Photoshop Generative Fill, among other new applications. ChatGPT reached a hundred million users in just two months after its release, faster than any other application before. This marked the advent of the generative AI era. Generative AI models generate text, images, music, videos, and even 3D models in ways previously thought impossible for machines. The book explains in an understandable manner how these AI models work. The book provides examples of how AI increases productivity, which professions are changing or disappearing, and how job markets will evolve in the coming years. With this book, you'll learn to recognize the opportunities and risks AI offers. Understand what this change demands from individuals and companies and what strategic skills are required. The book also covers legal questions caused by generative AI, like copyrights, data protection, and AI regulation. It also ponders societal impacts. AI produces content, thus influencing language, culture, and even worldviews. Therefore, it's crucial to understand by whom and how AI is trained. The AI revolution started by ChatGPT is just the beginning. This handbook is for you if you want to keep up with the rapid development of AI.



Creative Applications Of Artificial Intelligence In Education


Creative Applications Of Artificial Intelligence In Education
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Author : Alex Urmeneta
language : en
Publisher: Springer Nature
Release Date : 2024-05-18

Creative Applications Of Artificial Intelligence In Education written by Alex Urmeneta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-18 with Psychology categories.


This open access book explores the synergy between AI and education, highlighting its potential impact on pedagogical practices. It navigates the evolving landscape of AI-powered educational technologies and suggests practical ways to personalise instruction, nurture human-AI co-creativity, and transform the learning experience. Spanning from primary to higher education, this short and engaging volume proposes concrete examples of how educational stakeholders can be empowered in their AI literacy to foster creativity, inspire critical thinking, and promote problem-solving by embracing AI as a tool for expansive learning. Structured in three parts, the book starts developing the creative engagement perspective for learning and teaching to then present practical applications of AI in K-12 and higher education, covering different fields (teacher education, professional education, business education) as well as different types of AI supported tools (games, chatbots, and AI assisted assessment). It also delves into the ethical considerations, policy implications, and the central role educators play in harnessing the power of an AI informed educational experience.



Ai Strategies For Social Entrepreneurship And Sustainable Economic Development


Ai Strategies For Social Entrepreneurship And Sustainable Economic Development
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Author : Yu, Poshan
language : en
Publisher: IGI Global
Release Date : 2024-12-26

Ai Strategies For Social Entrepreneurship And Sustainable Economic Development written by Yu, Poshan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-26 with Business & Economics categories.


While the 20th century saw massive successes in terms of industrialization, much of the world’s population was excluded from the spoils of these endeavors, and often directly exploited in their achievement. Simultaneously, the environmental impact of these practices has done irreparable harm to our world. Now nearly a quarter through the 21st century, we must ensure that the same mistakes are not repeated, and that we use recent technological developments such as artificial intelligence to more evenly distribute earnings and resources while also ensuring that our environment is protected. AI Strategies for Social Entrepreneurship and Sustainable Economic Development explores the intersection of inclusive innovation, artificial intelligence (AI) strategies, social entrepreneurship, and sustainable economic development. The book delves into how AI technologies can be leveraged to promote social inclusion, drive entrepreneurship, and foster sustainable economic growth in diverse contexts. This book contribute to the existing literature by providing insights into the potential of AI in advancing inclusive innovation and sustainable development. Offering practical strategies, case studies, and best practices, this book is an excellent resource for policymakers, researchers, practitioners, and students interested in the intersection of AI, social entrepreneurship, and economic development.



Artificial Intelligence In Application


Artificial Intelligence In Application
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Author : Thomas Barton
language : en
Publisher: Springer Nature
Release Date : 2024-07-10

Artificial Intelligence In Application written by Thomas Barton and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-10 with Computers categories.


The book shows application potentials of artificial intelligence in various industries and presents application scenarios on how a practical implementation can take place. The starting point is the description of legal aspects, which includes a European regulation for artificial intelligence and addresses the question of the permissibility of automated decisions. The description of various application potentials, mostly industry-related, and the presentation of some application scenarios form the focus of the topic volume. The book is based on the question of how artificial intelligence can be used in entrepreneurial practice. It offers important information that is just as relevant for practitioners as for students and teachers. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.



Handbook Of Artificial Intelligence Applications For Industrial Sustainability


Handbook Of Artificial Intelligence Applications For Industrial Sustainability
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Author : Vikas Garg
language : en
Publisher: CRC Press
Release Date : 2024-01-30

Handbook Of Artificial Intelligence Applications For Industrial Sustainability written by Vikas Garg and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-30 with Computers categories.


The subject of Artificial Intelligence (AI) is continuing on its journey of affecting each and every individual and will keep on this path in the times to come. This handbook is a collection of topics on the application of artificial intelligence applications for sustainability in different areas. It provides an insight into the various uses of concepts and practical examples for different domains all in one place, which makes it unique and important for the potential reader. Handbook of Artificial Intelligence Applications for Industrial Sustainability: Concepts and Practical Examples examines the influence of AI and how it can be used in several industries to improve corporate performance, reduce security concerns, improve customer experience, and ultimately generate value for customers and maximize profits. The handbook offers practical examples, concepts, and applications that provide an easy understanding and implementation process. It provides AI applications in many fields, such as sustainable credit decisions, cyber security and fraud prevention, warehouse management, and much more. This handbook will provide insight to customers, managers, professionals, engineers, researchers, and students on the various uses of AI and sustainability in different domains. All of this needed information compiled into one handbook makes it unique and important for the engineering, business, and computer science communities.



Multidisciplinary Functions Of Blockchain Technology In Ai And Iot Applications


Multidisciplinary Functions Of Blockchain Technology In Ai And Iot Applications
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Author : Chowdhury, Niaz
language : en
Publisher: IGI Global
Release Date : 2020-10-30

Multidisciplinary Functions Of Blockchain Technology In Ai And Iot Applications written by Chowdhury, Niaz and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-30 with Computers categories.


Blockchain technology allows value exchange without the need for a central authority and ensures trust powered by its decentralized architecture. As such, the growing use of the internet of things (IoT) and the rise of artificial intelligence (AI) are to be benefited immensely by this technology that can offer devices and applications data security, decentralization, accountability, and reliable authentication. Bringing together blockchain technology, AI, and IoT can allow these tools to complement the strengths and weaknesses of the others and make systems more efficient. Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications deliberates upon prospects of blockchain technology using AI and IoT devices in various application domains. This book contains a comprehensive collection of chapters on machine learning, IoT, and AI in areas that include security issues of IoT, farming, supply chain management, predictive analytics, and natural languages processing. While highlighting these areas, the book is ideally intended for IT industry professionals, students of computer science and software engineering, computer scientists, practitioners, stakeholders, researchers, and academicians interested in updated and advanced research surrounding the functions of blockchain technology in AI and IoT applications across diverse fields of research.



Advances In Artificial Intelligence And Machine Learning Applications For The Imaging Of Bone And Soft Tissue Tumors


Advances In Artificial Intelligence And Machine Learning Applications For The Imaging Of Bone And Soft Tissue Tumors
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Author : Brandon K. K. Fields
language : en
Publisher: Frontiers Media SA
Release Date : 2025-01-03

Advances In Artificial Intelligence And Machine Learning Applications For The Imaging Of Bone And Soft Tissue Tumors written by Brandon K. K. Fields and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Science categories.


Increasing interest in the development and validation of quantitative imaging biomarkers for oncologic imaging has in recent years inspired a surge in the field of artificial intelligence and machine learning. Initial results showed promise in identifying potential markers of treatment response, malignant potential, and prognostic predictors, among others; however, while many of these early algorithms showed the optimistic ability to separate pathologic states on “in-house” datasets, it was often the case that these classifiers generalized poorly on external validation sets and thus were of limited utility in the clinical setting. This issue was additionally compounded by the frequent use of data filtering and feature selection techniques in many studies to further bolster the machine learning results in limited case scenarios, thereby biasing the overall fit and further reducing generalizability.