Who S Who In Artificial Intelligence
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Who S Who In Artificial Intelligence
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Author : Alan Kernoff
language : en
Publisher:
Release Date : 1986
Who S Who In Artificial Intelligence written by Alan Kernoff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Artificial intelligence categories.
The Ai Powered Enterprise
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Author : Seth Earley
language : en
Publisher: LifeTree Media
Release Date : 2020-04-28
The Ai Powered Enterprise written by Seth Earley and has been published by LifeTree Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-28 with Business & Economics categories.
Learn how to develop and employ an ontology, the secret weapon for successfully using artificial intelligence to create a powerful competitive advantage in your business. The AI-Powered Enterprise examines two fundamental questions: First, how will the future be different as a result of artificial intelligence? And second, what must companies do to stake their claim on that future? When the Web came along in the mid-90s, it transformed the behavior of customers and remade whole industries. Now, as part of its promise to bring revolutionary change in untold ways to human activity, artificial intelligence—AI—is about to create another complete transformation in how companies create and deliver value to customers. But despite the billions spent so far on bots and other tools, AI continues to stumble. Why can't it magically use all the data organizations generate to make them run faster and better? Because something is missing. AI works only when it understands the soul of the business. An ontology is a holistic digital model of every piece of information that matters to the business, from processes to products to people, and it's what makes the difference between the promise of AI and delivering on that promise. Business leaders who want to catch the AI wave—rather than be crushed by it—need to read The AI-Powered Enterprise. The book is the first to combine a sophisticated explanation of how AI works with a practical approach to applying AI to the problems of business, from customer experience to business operations to product development.
Artificial Intelligence And India
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Author : Kaushiki Sanyal
language : en
Publisher: Oxford University Press
Release Date : 2020-06-12
Artificial Intelligence And India written by Kaushiki Sanyal and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-12 with Business & Economics categories.
What is artificial intelligence (AI)? How did it evolve over the years and what is it going to look like in the future? What are the opportunities and risks associated with AI? Where does India stand among the global AI ecosystems? This book answers these questions and gives a bird's-eye view of the field of AI, with a special focus on India. In clear, jargon-free language it explains what is and, more importantly, what is not AI. It provides a well-rounded summary of the ongoing debates on ethics, regulation, bias, and data privacy surrounding the development and use of AI technology. Using up-to-date data, the book looks at India's contributions to and adoption of AI, as the country has a significant stake in the AI revolution as one of the fastest growing economies.
Brief History Of Artificial Intelligence
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Author : MICHAEL. WOOLDRIDGE
language : en
Publisher:
Release Date : 2022
Brief History Of Artificial Intelligence written by MICHAEL. WOOLDRIDGE and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Artificial Intelligence Ai
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Author : S. Kanimozhi Suguna
language : en
Publisher: CRC Press
Release Date : 2021-05-27
Artificial Intelligence Ai written by S. Kanimozhi Suguna and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-27 with Computers categories.
Addresses the complete functional framework workflow in Artificial Intelligence technology Explores basic and high-level concepts Based on the latest technologies covering the major challenges, issues, and advances in AI Discusses intelligent and automated system through AI and its implications to the real-world Presents data acquisition and case studies related to data-intensive technologies
Artificial Intelligence In Our Life
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Author : Todd KLEAN
language : en
Publisher:
Release Date : 2020-03-18
Artificial Intelligence In Our Life written by Todd KLEAN and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-18 with categories.
Step Into The World Of Having An Understanding Of The Inner Workings Of Artificial Intelligence So That You Can Use That Knowledge To Your Advantage! Artificial intelligence is increasingly becoming a hot topic these days, as more products that leverage the power of artificial intelligence (AI) keep on being innovated. Think about modern day applications of AI like in self-driving cars, software-based robotics that take on repetitive work that we carry out on computers, algorithms that help personalize user experience on websites in real time, the use of big data in making business decisions, home automation devices and related systems. And it is not stopping....AI will increasingly take root in all these and more. While knowing these advanced systems leverage the power of artificial intelligence to operate is a good thing, not knowing the intricacies of artificial intelligence puts you in the category of 'quacks' as far as the topic of artificial intelligence is concerned. By virtue that you are reading this, it is clear that you want to move from having a general idea about artificial intelligence to having more than average level knowledge on the inner workings of artificial intelligence. I know you are looking for answers to all manner of questions.... What makes artificial intelligence a life changing innovation? What exactly does artificial intelligence entail? How is artificial intelligence used in different areas in which it is applied? What do you need to learn in order to create artificial intelligence systems? In what ways is artificial intelligence used in today's life that you may not even be aware of? How is artificial intelligence changing the way we do things? How is artificial intelligence influencing the career outlook of different professions and what can you do to prepare yourself sufficiently? How can you incorporate artificial intelligence in your everyday life? If you have these and other related questions about artificial intelligence, this book is for you so keep reading. More precisely, the book will teach you: The basics of artificial intelligence, including what it is, how it came about, and how it has evolved over the years The concept of expert systems with respect to artificial intelligence, including what it entails and why knowing it should matter to you How AI is already finding a huge number of uses in our modern life Why AI is a good thing and why it may not be such a good thing Ways in which artificial intelligence is impacting different industries and professions and what to do to adapt 10 steps you should follow to adopt AI in your business Ways in which AI is already impacting your everyday life The ins and outs of a three-level model of action to analyze artificial intelligence and its impact The models of learning in data based AI How artificial intelligence will transform the world in the next decade All about AI via domain Public safety and security The prospects and recommendations for AI public policy And much more Even if you refer to yourself as a technology newbie, this book's easy to follow, step by step and beginner friendly style will help you understand artificial intelligence from a perspective you never did. Click Buy Now With 1-Click or Buy Now to get started today!
Understanding Artificial Intelligence
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Author : Nicolas Sabouret
language : en
Publisher: CRC Press
Release Date : 2020-12-09
Understanding Artificial Intelligence written by Nicolas Sabouret and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-09 with Computers categories.
Artificial Intelligence (AI) fascinates, challenges and disturbs us. There are many voices in society that predict drastic changes that may come as a consequence of AI – a possible apocalypse or Eden on earth. However, only a few people truly understand what AI is, what it can do and what its limitations are. Understanding Artificial Intelligence explains, through a straightforward narrative and amusing illustrations, how AI works. It is written for a non-specialist reader, adult or adolescent, who is interested in AI but is missing the key to understanding how it works. The author demystifies the creation of the so-called "intelligent" machine and explains the different methods that are used in AI. It presents new possibilities offered by algorithms and the difficulties that researchers, engineers and users face when building and using such algorithms. Each chapter allows the reader to discover a new aspect of AI and to become fully aware of the possibilities offered by this rich field.
What Is Artificial Intelligence A Conversation Between An Ai Engineer And A Humanities Researcher
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Author : Suman Gupta
language : en
Publisher: World Scientific
Release Date : 2020-06-22
What Is Artificial Intelligence A Conversation Between An Ai Engineer And A Humanities Researcher written by Suman Gupta and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-22 with Computers categories.
'A light-hearted, but engaging conversation about one of the key technologies of our age.I recommend this book to anyone interested in the broader issues around Artificial Intelligence.'Richard HartleyAustralian National University, Australia This book engages with the title question: what is artificial intelligence (AI)? Instead of reiterating received definitions or surveying the field from a disciplinary perspective, the question is engaged here by putting two standpoints into conversation. The standpoints are different in their disciplinary groundings — i.e. technology and the humanities — and also in their approaches — i.e. applied and conceptual. Peter is an AI engineer: his approach is in terms of how to make AI work. Suman is a humanities researcher: his approach is in terms of what people and academics mean when they say 'AI'.A coherent argument, if not a consensus, develops by putting the two standpoints into conversation. The conversation is presented in 32 short chapters, in turn by Suman and Peter. There are two parts: Part 1, Questioning AI, and Part 2, AI and Government Policy. The first part covers issues such as the meaning of intelligence, automation, evolution, artificial and language. It outlines some of the processes through which these concepts may be technologically grounded as AI. The second part addresses policy considerations that underpin the development of AI and responds to the consequences. Themes taken up here include: rights and responsibilities; data usage and state-level strategies in the USA, UK and China; unemployment and policy futures.
Explainable Artificial Intelligence An Introduction To Interpretable Machine Learning
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Author : Uday Kamath
language : en
Publisher: Springer
Release Date : 2021-12-16
Explainable Artificial Intelligence An Introduction To Interpretable Machine Learning written by Uday Kamath and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-16 with Computers categories.
This book is written both for readers entering the field, and for practitioners with a background in AI and an interest in developing real-world applications. The book is a great resource for practitioners and researchers in both industry and academia, and the discussed case studies and associated material can serve as inspiration for a variety of projects and hands-on assignments in a classroom setting. I will certainly keep this book as a personal resource for the courses I teach, and strongly recommend it to my students. --Dr. Carlotta Domeniconi, Associate Professor, Computer Science Department, GMU This book offers a curriculum for introducing interpretability to machine learning at every stage. The authors provide compelling examples that a core teaching practice like leading interpretive discussions can be taught and learned by teachers and sustained effort. And what better way to strengthen the quality of AI and Machine learning outcomes. I hope that this book will become a primer for teachers, data Science educators, and ML developers, and together we practice the art of interpretive machine learning. --Anusha Dandapani, Chief Data and Analytics Officer, UNICC and Adjunct Faculty, NYU This is a wonderful book! I’m pleased that the next generation of scientists will finally be able to learn this important topic. This is the first book I’ve seen that has up-to-date and well-rounded coverage. Thank you to the authors! --Dr. Cynthia Rudin, Professor of Computer Science, Electrical and Computer Engineering, Statistical Science, and Biostatistics & Bioinformatics Literature on Explainable AI has up until now been relatively scarce and featured mainly mainstream algorithms like SHAP and LIME. This book has closed this gap by providing an extremely broad review of various algorithms proposed in the scientific circles over the previous 5-10 years. This book is a great guide to anyone who is new to the field of XAI or is already familiar with the field and is willing to expand their knowledge. A comprehensive review of the state-of-the-art Explainable AI methods starting from visualization, interpretable methods, local and global explanations, time series methods, and finishing with deep learning provides an unparalleled source of information currently unavailable anywhere else. Additionally, notebooks with vivid examples are a great supplement that makes the book even more attractive for practitioners of any level. Overall, the authors provide readers with an enormous breadth of coverage without losing sight of practical aspects, which makes this book truly unique and a great addition to the library of any data scientist. Dr. Andrey Sharapov, Product Data Scientist, Explainable AI Expert and Speaker, Founder of Explainable AI-XAI Group
Artificial Intelligence Simplified
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Author : Binto George
language : en
Publisher: CSTrends LLP
Release Date : 2016-01-08
Artificial Intelligence Simplified written by Binto George and has been published by CSTrends LLP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-08 with Computers categories.
The book introduces key Artificial Intelligence (AI) concepts in an easy-to-read format with examples and illustrations. A complex, long, overly mathematical textbook does not always serve the purpose of conveying the basic AI concepts to most people. Someone with basic knowledge in Computer Science can have a quick overview of AI (heuristic searches, genetic algorithms, expert systems, game trees, fuzzy expert systems, natural language processing, super intelligence, etc.) with everyday examples. If you are taking a basic AI course and find the traditional AI textbooks intimidating, you may choose this as a “bridge” book, or as an introductory textbook. For students, there is a lower priced edition (ISBN 978-1944708016) of the same book. Published by CSTrends LLP.