… In this paper we look at recent advances in artificial intelligence. Decades in the making, a
… now be solved convincingly by deep neural networks. Although deep learning appears to be …

… deep learning but we don’t know yet which ones. In Section 10, the predictions of professionals
about when human level AI … neural networks work at about human level for these 70% of …

… intelligent systems that offer artificial intelligence capabilities often rely on machine learning.
… and highlight issues in human-machine interaction and artificial intelligence servitization. …

… of machine learning and provide insight into recently developed deep learning approaches
… We suggest that this evolution of machine intelligence now provides a guide for early-stage …

… human-level artificial intelligence, a number of rival paradigms have vied for supremacy.
Symbolic artificial intelligence … , namely machine learning with deep neural networks. However, …

… Machine learning and deep learning algorithms have been … the implementation of artificial
intelligence and deep learning in this field… In summary, artificial intelligence and deep learning …

… and learning algorithms tied to deep learning. In this article, we review the current state of
deep learning, … neural networks, and, most importantly, how you can get started with adopting …

… learning (DL) are all important technologies in the field of robotics [1]. The … artificial intelligence
(AI) describes a machine's capacity to carry out operations that ordinarily require human …

… in an intelligent machine. Among the most important capabilities is that of learning, which
enables automated machine … rise of a powerful machine-learning paradigm—deep learning—is …

… Deep learning has provided natural ways for humans to communicate with digital devices
and is foundational for building artificial general intelligence. Deep learning was inspired by …