Suchergebnisse

When it was originally published in 2002, Sue Curry Jansen's "What Was Artificial Intelligence?" attracted little notice. The long essay was published as a chapter in Jansen's Critical Communication Theory, a book whose wisdom and erudition failed to register across the many fields it addressed. One explanation for the neglect, ironic and telling, is that Jansen's sheer scope as an intellectual had few competent readers in the communication studies discipline into which she published the book. "What Was Artificial Intelligence?" was buried treasure. In this mediastudies.press edition, Jansen's prescient autopsy of AI self-selling—the rhetoric of the masculinist sublime—is reprinted with a new introduction. Now an open access book, "What Was Artificial Intelligence?" is a message in a bottle, addressed to Musk, Bezos, and the latest generation of AI myth-makers.

Cover -- Half Title -- About the Authors -- Title Page -- Copyright Page -- Preface -- Table of Contents -- Part A: Fundamental of Artificial Intelligence -- Chapter 1 Artificial Intelligence -- Chapter 2 Learning Python for Artificial Intelligence -- Chapter 3 Machine Learning -- Chapter 4 Deep Learning -- Chapter 5 Computer Vision -- Chapter 6 Knowledge Based Expert System -- Part B: Implementation of Artificial Intelligence -- Chapter 7 Tools for Artificial Intelligence -- Chapter 8 Important Libraries for AI -- Chapter 9 Machine Learning Algorithms -- Chapter 10 Disease Classification and Detection in Plants -- Chapter 11 Species Recognition in Flowers -- Chapter 12 Precision Farming.

This book is a platform for anyone who wishes to explore Artificial Intelligence in the field of agriculture from scratch or broaden their understanding and its uses. This book offers a practical, hands-on exploration of Artificial Intelligence, machine learning, deep Learning, computer vision and Expert system with proper examples to understand. This book also covers the basics of python with example so that any anyone can easily understand and utilize artificial intelligence in agriculture field. This book is divided into two parts wherein first part talks about the artificial intelligence and its impact in the agriculture with all its branches and their basics. The second part of the book is purely implementation of algorithms and use of different libraries of machine learning, deep learning and computer vision to build useful and sightful projects in real time which can be very useful for you to have better understanding of artificial intelligence. After reading this book, the reader will an understanding of what Artificial Intelligence is, where it is applicable, and what are its different branches, which can be useful in different scenarios. The reader will be familiar with the standard workflow for approaching and solving machine-learning problems, and how to address commonly encountered issues. The reader will be able to use Artificial Intelligence to tackle real-world problems ranging from crop health prediction to field surveillance analytics, classification to recognition of species of plants etc.Note: T&F does not sell or distribute the hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka. This title is co-published with NIPA

1. Introduction -- 2. What is Artificial Intelligence? -- 2.1. Definitions -- 2.2. History -- 2.3. State of play and future prospects -- 3. Bioethical inquiries about artificial intelligence -- 3.1. Bioethical issues common to weak and strong artificial intelligence -- 3.2. Bioethical issues resulting from strong artificial intelligence -- 3.2.1. Ontological discussions -- 3.2.2. Consequential discussions -- 4. Medicine and artificial intelligence -- 4.1. Use of artificial in health services -- 4.2. Main challenges in medical ethics -- 4.2.1. Confidentiality and privacy -- 4.2.2. Compassion, veracity and fidelity -- 4.2.3. Communication skills and case based approach -- 5. Conclusion.

Artificial Intelligence in Highway Safety provides cutting-edge advances in highway safety using AI. The author is a highway safety expert. He pursues highway safety within its contexts, while drawing attention to the predictive powers of AI techniques in solving complex problems for safety improvement. This book provides both theoretical and practical aspects of highway safety. Each chapter contains theory and its contexts in plain language with several real-life examples. It is suitable for anyone interested in highway safety and AI and it provides an illuminating and accessible introduction to this fast-growing research trend. Material supplementing the book can be found at https://github.com/subasish/AI_in_HighwaySafety. It offers a variety of supplemental materials, including data sets and R codes.

"'Artificial Intelligence in Highway Safety' is a cutting-edge book to the hurtling world of AI in the field of highway safety. The author Subasish Das, a highway safety expert, pursues highway safety within its contexts, while drawing attention to the predictive powers of the AI techniques in solving complex problems for safety improvement. This book provides both theoretical and practical aspects of highway safety. Each chapter contains theory and its contexts in plain language with several real-life examples. This book is suitable for anyone interested in highway safety and AI and provides an illuminating and accessible introduction to this fast-growing research trend. The book's website at http://subasish.github.io/AIiHS offers a variety of supplemental materials, including data sets and R codes. 'Artificial Intelligence in Highway Safety' is a cutting-edge book to the hurtling world of AI in the field of highway safety. This book provides both theoretical and practical aspects of highway safety. Each chapter contains theory and its contexts in plain language with several real-life examples"--

Artificial Intelligence in Highway Safety provides cutting-edge advances in highway safety using AI. The author is a highway safety expert. He pursues highway safety within its contexts, while drawing attention to the predictive powers of AI techniques in solving complex problems for safety improvement. This book provides both theoretical and practical aspects of highway safety. Each chapter contains theory and its contexts in plain language with several real-life examples. It is suitable for anyone interested in highway safety and AI and it provides an illuminating and accessible introduction to this fast-growing research trend. Material supplementing the book can be found at https://github.com/subasish/AI_in_HighwaySafety. It offers a variety of supplemental materials, including data sets and R codes

"If the intelligence of artificial systems were to surpass that of humans, humanity would face significant risks. The time has come to consider these issues, and this consideration must include progress in artificial intelligence (AI) as much as insights from AI theory. Featuring contributions from leading experts and thinkers in artificial intelligence, RIsks of Artificial Intelligence is the first volume of collected chapters dedicated to examining the risks of AI. The books evaluates predictions of the future of AI, proposes ways to ensure that AI systems will be beneficial to humans, and then critically evaluates such proposals." -- From back cover

How are artificial intelligence (AI) and the strong claims made by their philosophical representatives to be understood and evaluated from a Kantian perspective? Conversely, what can we learn from AI and its functions about Kantian philosophy's claims to validity? This volume focuses on various aspects, such as the self, the spirit, self-consciousness, ethics, law, and aesthetics to answer these questions.

This is the first volume to provide an overview of critical perspectives on the ethics of Artificial Intelligence (AI), at a point when growth in AI technologies has exploded but the study of the difficult moral problems presented by AI use is only in its infancy. The book features seventeen essays, organized into four sections, written by leading academics and prominent figures in the field, many representing well-known big tech companies. Some topics covered include self-driving cars and autonomous drones, caretaking robots, and the possible consciousness of superintelligent AI systems.