… This paradigm shift is similar to the evidence-based medicine (EBM) movement of the 1990s.
At … Machine learning (ML) is a form of artificial intelligence (AI) that learns the relationships …

… Both the increase in the size of the data and the increase in the resolution are among the
factors that shape the ongoing improvements in artificial intelligence (AI), particularly …

… for small tasks” paradigm, under which … a shift that flips this paradigm upside down. Specifically,
we propose a “small data for big tasks” paradigm, wherein a single artificial intelligence (…

… an opportunity for a paradigm shift of increased application of techniques borrowed from
other fields of science, particularly, from complexity science and artificial intelligence (AI). …

… for intelligent information society, where artificial intelligence … Of course, it is not easy to
predict how artificial intelligence … with AI in the intelligent information society where algorithms …

Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well
known from computer science is broadly affecting many aspects of various fields including …

… result of incommensurable paradigm shifts Kuhn challenged … In this paper I shall use Kuhn’s
paradigm shift scaffolding to … research into both consciousness and artificial intelligence (AI). …

… intelligence, IoT, deep learning and several other techniques have … of artificial intelligence
is computer vision. The main goal of computer vision development is to create paradigms for …

… Artificial Intelligence and Machine-Learning are now … Artificial intelligence and machine
learning analyzed the big data … the use of Artificial Intelligence and Machine-Learning during the …

… of artificial intelligence (AI) in the field of digital marketing. This study [31] examines the influence
of artificial intelligence (… the advantages of employing artificial intelligence in marketing, …