… , artificial intelligence has … and artificial intelligence theories expressible in these formalisms
can begin to provide a domainindependent, theoretical foundation for research in learning …

… state of the art in artificial intelligence (AI) and its potential impact for learning, teaching, and
… studying the impact of AI on economy, society, and the future of education and learning. …

… learning … artificial intelligence,[17]machine learning explores the study and construction of
algorithms that can learn from and make predictions on data[18] – such algorithms overcome …

… the enormous potential of artificial intelligence and deep learning. Furthermore, self-driving …
artificial intelligence. In this article, we look at trust in artificial intelligence, machine learning (…

… with the emergence of artificial intelligence (AI), machine learning (ML), and deep learning
(DL) technologies in recent years. Artificial intelligence is a multidimensional technology with …

… – machine learning and one family of techniques in particular, deep learning, where computers
are programmed to learn … Deep learning systems have been applied extensively and set …

… Artificial intelligence (AI), machine learning (ML), and deep learning (DL) are all important
technologies in the field of robotics [1]. The term artificial intelligence (AI) describes a …

… theory for learning in artificially intelligent systems. How should an artificially intelligent
system … representations in artificial intelligence. An argument for Bayesian representations in …

… in machine learning covered in this book include: learning … road map to the field of machine
learning with a view towards … comparing most artificial intelligence-based machine learning …

… This section reviews the gains in artificial intelligence, machine learning, and deep learning.
The information presented is valuable especially for those interested in these sciences. …