Artificial Intelligence (AI) in Education at ENMU

Artificial Intelligence is an indispensable text for teaching and learning artificial intelligence. It focuses to study the concepts of artificial intelligence. It helps to learn the methods of solving problems using artificial intelligence. It also introduces the concepts of expert systems and machine learning. Features: Student friendly –written in a clear, concise and lucid manner; A sincere attempt has been made to introduce the basic concepts; Each chapter is organized into small sections that address key topics; In-depth coverage and good style are emphasized; Explains the philosophy behind the artificial intelligence; Covers both elementary as well as advanced concepts.

This book will provide a global perspective on AI and the challenges it represents, and will focus on the digital ethics surrounding AI technology.

The emergence of artificial intelligence has triggered enthusiasm and promise of boundless opportunities as much as uncertainty about its limits. The contributions to this volume explore the limits of AI, describe the necessary conditions for its functionality, reveal its attendant technical and social problems, and present some existing and potential solutions. At the same time, the contributors highlight the societal and attending economic hopes and fears, utopias and dystopias that are associated with the current and future development of artificial intelligence.

The importance of Artificial Intelligence cannot be over-emphasised in current times, where automation is already an integral part of industrial and business processes. A First Course in Artificial Intelligence is a comprehensive textbook for beginners which covers all the fundamentals of Artificial Intelligence. Seven chapters (divided into thirty-three units) introduce the student to key concepts of the discipline in simple language, including expert system, natural language processing, machine learning, machine learning applications, sensory perceptions (computer vision, tactile perception) and robotics. Each chapter provides information in separate units about relevant history, applications, algorithm and programming with relevant case studies and examples. The simplified approach to the subject enables beginners in computer science who have a basic knowledge of Java programming to easily understand the contents. The text also introduces Python programming language basics, with demonstrations of natural language processing. It also introduces readers to the Waikato Environment for Knowledge Analysis (WEKA), as a tool for machine learning. The book is suitable for students and teachers involved in introductory courses in undergraduate and diploma level courses which have appropriate modules on artificial intelligence.

Technologies shape who we are, how we organize our societies and how we relate to nature. For example, social media challenges democracy; artificial intelligence raises the question of what is unique to humans; and the possibility to create artificial wombs may affect notions of motherhood and birth. Some have suggested that we address global warming by engineering the climate, but how does this impact our responsibility to future generations and our relation to nature? This book shows how technologies can be socially and conceptually disruptive and investigates how to come to terms with this disruptive potential. Four technologies are studied: social media, social robots, climate engineering and artificial wombs. The authors highlight the disruptive potential of these technologies, and the new questions this raises. The book also discusses responses to conceptual disruption, like conceptual engineering, the deliberate revision of concepts.

Get started with GPT-3 and the OpenAI API for natural language processing using JavaScript and PythonKey Features* Understand the power of potential GPT-3 language models and the risks involved* Explore core GPT-3 use cases such as text generation, classification, and semantic search using engaging examples* Plan and prepare a GPT-3 application for the OpenAI review process required for publishing a live applicationBook DescriptionGenerative Pre-trained Transformer 3 (GPT-3) is a highly advanced language model from OpenAI that can generate written text that is virtually indistinguishable from text written by humans. Whether you have a technical or non-technical background, this book will help you understand and start working with GPT-3 and the OpenAI API.If you want to get hands-on with leveraging artificial intelligence for natural language processing (NLP) tasks, this easy-to-follow book will help you get started. Beginning with a high-level introduction to NLP and GPT-3, the book takes you through practical examples that show how to leverage the OpenAI API and GPT-3 for text generation, classification, and semantic search. You'll explore the capabilities of the OpenAI API and GPT-3 and find out which NLP use cases GPT-3 is best suited for. You'll also learn how to use the API and optimize requests for the best possible results. With examples focusing on the OpenAI Playground and easy-to-follow JavaScript and Python code samples, the book illustrates the possible applications of GPT-3 in production.By the end of this book, you'll understand the best use cases for GPT-3 and how to integrate the OpenAI API in your applications for a wide array of NLP tasks.What you will learn* Understand what GPT-3 is and how it can be used for various NLP tasks* Get a high-level introduction to GPT-3 and the OpenAI API* Implement JavaScript and Python code examples that call the OpenAI API* Structure GPT-3 prompts and options to get the best possible results* Select the right GPT-3 engine or model to optimize for speed and cost-efficiency* Find out which use cases would not be suitable for GPT-3* Create a GPT-3-powered knowledge base application that follows OpenAI guidelinesWho this book is forExploring GPT-3 is for anyone interested in natural language processing or learning GPT-3 with or without a technical background. Developers, product managers, entrepreneurs, and hobbyists looking to get to grips with NLP, AI, and GPT-3 will find this book useful. Basic computer skills are all you need to get the most out of this book.