… of artificial intelligence (AI)-based models, promoting and setting the necessary requirements
that these new in silico methodologies must meet. This review offers a multidisciplinary …

… Artificial Intelligence (AI) is a concept that has been part of public discourse for decades, often
depicted within science fiction films or debates on how intelligent … that artificial intelligence …

… Artificial intelligence (AI) promises to alleviate the impact of these developments by … to
adopt a multidisciplinary perspective. In this paper, we take such a multidisciplinary view on a …

… There is now a growing amount of coronavirus related datasets as well as published papers
that must be leveraged along with artificial intelligence (AI) to fight this pandemic by driving …

… The keywords that were initially considered in the research were pattern recognition,
artificial intelligence, machine learning, neural networks, supervised learning, unsupervised …

… this process using innovative technologies such as artificial intelligence (AI). Different AI …
This review, on the one hand, brings in a mathematical vision of some of the key AI methods …

… using artificial intelligence (AI) and machine learning (ML) for cancer imaging. The development
of an optimal tool requires multidisciplinary … This multidisciplinary review highlights key …

… Furthermore, we recognize that marketing researchers need to engage in multidisciplinary
… gratified to receive compelling, multidisciplinary insights from researchers working across …

… animals, and even, how some artificial intelligences have been able to dream, paint, and …
what is known as Artificial Intelligence and some branches of it such as Machine Learning, …

… Impressive applications of Artificial Intelligence (AI) and machine learning have become …
Explainable Artificial Intelligence (XAI) systems are a possible solution toward accountable …