Artificial intelligence is the design, implementation, and use of programs, machines, and systems that show human intelligence, with its major activities being knowledge representation, reasoning, and learning. Although it is important to note there is no one agreed upon definition of artificial intelligence and it can vary according to the disciplines it works within. Artificial intelligence includes a number of important sub-fields:
This video on artificial intelligence introduces you to the topic with a fun and simple approach. It defines artificial intelligence, how it's different from machine learning and deep learning and discusses its features, types and scope. The video also looks at some of the interesting applications of artificial intelligence.
Artificial Intelligence Resources
These eBooks provide an overview of some of the concepts, skills and issues involved in artificial intelligence. EBooks on more specific topics within artificial intelligence will be provided in the AI Topics section of this research guide. Besides reading books, the most current and leading edge information is derived from conference proceedings. The IEEE Xplore Digital Library and the ACM Digital Library databases offer the latest conference proceedings on artificial intelligence.
First published in 1987, this book provides a stimulating introduction to artificial intelligence (AI) - the science of thinking machines. After a general introduction to AI, including its history, tools, research methods, and its relation to psychology, Garnham gives an account of AI research in five major areas: knowledge representation, vision, thinking and reasoning, language, and learning.
This volume contains articles and papers that were presented at the 2017 International Conference on Artificial Intelligence (ICAI'17). The conference serves researchers, scholars, professionals, students, and academicians.
The term "Artificial Intelligence" has been around since the 1950s, but a lot has changed since then. Today, AI is referenced in the news, books, movies, and TV shows, and the exact definition is often misinterpreted. Artificial Intelligence For Dummies provides a clear introduction to AI and how it's being used today. Inside, you'll get a clear overview of the technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field.
A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals. This book will not teach you to be a data scientist--but it does explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing strategy, and teach you how to use it most effectively.
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe.
This book outlines the background and overall vision for the Internet of Things (IoT) and Machine-to-Machine (M2M) communications and services, including major standards. Key technologies are described, and include everything from physical instrumentation of devices to the cloud infrastructures used to collect data. Also included is how to derive information and knowledge, and how to integrate it into enterprise processes, as well as system architectures and regulatory requirements.