It is now seventy years since Nimzowitsch wrote his monumental work My System. While it remains a fundamental work on …
In this literate and easy-to-read discussion, Derek Partridge helps us understand what AI can and cannot do. Topics discussed include …
Increasingly, technology, the Internet and social media are playing a major part in our lives. What should we think about …
The State of Indiana denies one million applications for healthcare, foodstamps and cash benefits in three years―because a new computer …
This book is the outcome of the NATO Advanced Research Workshop on Machine Intelligence and Knowledge Engineering for Robotic Applications …
Matt Carter is a Lecturer in the Philosophy Department at Melbourne University. This is his first book.
The main objective of this book is to introduce cyber security using modern technologies such as Artificial Intelligence, Quantum Cryptography, …
In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are …
Handling inherent uncertainty and exploiting compositional structure are fundamental to understanding and designing large-scale systems. Statistical relational learning builds on …
From everyday apps to complex algorithms, Ruha Benjamin cuts through tech-industry hype to understand how emerging technologies can reinforce White …
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts …
This book provides a detailed insight into Robotic Process Automation (RPA) technologies linked with AI that will help organizations implement …
This book offers a framework and analysis for the current technological landscape between the United States and China across the …
Both the Turing test and the frame problem have been significant items of discussion since the 1970s in the philosophy …
Early efforts to model human-like thinking with machines using rules were interesting but failed in a number of ways to …
The most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence The long-anticipated revision of Artificial Intelligence: A …
With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects …
Natural Computing is the field of research that investigates both human-designed computing inspired by nature and computing taking place in …
Made-Up Minds addresses fundamental questions of learning and concept invention by means of an innovative computer program that is based …
The traditional and ubiquitous digital computer has changed the world by processing series of binary ones and zeroes...very fast. Like …
Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an …
Volumes 21 and 22 of Advances in Chemical Engineering contain ten prototypical paradigms which integrate ideas and methodologies from artificial …
A call-to-arms about the broken nature of artificial intelligence, and the powerful corporations that are turning the human-machine relationship on …
Freely available in its PDF form from the author's website: faculty.marshall.usc.edu/gareth-james/ISL/
How to educate the next generation of college students to invent, to create, and to discover―filling needs that even the …
Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as …
Our big brains, our language ability, and our intelligence make us uniquely human. But barely 10,000 years ago (a mere …
This book addresses emerging issues concerning the integration of artificial intelligence systems in our daily lives. It focuses on the …
Deep learning is a committed approach to learning. It is a process of constructing and interpreting new knowledge in light …
The essential roadmaps for enterprise cloud adoption As cloud technologies continue to challenge the fundamental understanding of how businesses work, …
Deep Learning: Methods and Applications provides an overview of general deep learning methodology and its applications to a variety of …
An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in …
