Quantum artificial intelligence exploits the interplay between and quantum physics: on one hand, a plethora of tools ideas from can be adopted to tackle intricate problems; other computing could also bring unprecedented opportunities enhance, speed up, or innovate intelligence. Yet, learning systems, similar classical ones, may suffer adversarial attacks: adding tiny carefully-crafted perturbat...

In order to make significant progress toward achievement of human level machine intelligence a paradigm shift is needed. More specifically, the natural intelligence and artificial intelligence should be closely interacted in Intelligence Science study, instead of separate from each other. In order to reach the paradigm, brain science, cognitive science, artificial intelligence and others should...

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Computer-assisted language learning is a research field which explores the use of computational methods and techniques as well as new media for language learning and teaching. Recently, an increasing number of language learning systems have been developed which adopt Artificial Intelligence techniques. This paper provides an overview about intelligent computer-assisted language learning. The mo...

Students will be more likely motivated to pursue a field of study if they encounter relevant, exciting, and interesting challenges early in their studies. The NSF CCLI project “Machine Learning Laboratory Experiences for Introducing Undergraduates to Artificial Intelligence” uses machine learning as a unifying theme to teach diverse artificial intelligence (AI) topics in the context of an intro...

Artificial intelligence is a frontier field of computer science, and achieved considerable progress in the past few decades. Being an important research branch of artificial intelligence, machine learning has been successfully applied to many fields in recent years, such as expert system, automatic reasoning, natural language processing, pattern recognition, computer vision, intelligent robots,...

The rapid advancement of machine learning techniques has re-energized research into general artificial intelligence. While the idea of domain-agnostic meta-learning is appealing, this emerging field must come to terms with its relationship to human cognition and the statistics and structure of the tasks humans perform. The position of this article is that only by aligning our agents’ abilities ...

This book unveils emerging methodologies and trends in AI ML for delivering better medical treatments healthcare services