Artificial intelligence (AI), the theory and development of computer systems able to perform
tasks that normally require human intelligence, is creeping into almost every facet of modern …

… Machine Learning and Deep Learning With Python, Scikit-… His multidisciplinary
research interests include image understanding, artificial intelligence, and data science. …

… We investigated if deep learning artificial intelligence (AI) could be used to grade diabetic …
for the deep learning, achieving a PABAK of 0.74 and an accuracy of 81%. Using very deep …

… Deep learning is an approach to machine learning that involves training neural networks …
one of the most impactful research areas within artificial intelligence (AI). Its notable successes …

… If you are interested in artificial intelligence and deep learning and want to level up, then …
integrating all of them, so the Artificial Intelligence (AI) systems we have are largely incomplete. …

… evaluation of artificial intelligence, machine learning, and deep learning approaches for …
term “artificial intelligence” and the related terms “machine learning” and “deep learning” in …

… be solved convincingly by deep neural networks. Although deep learning appears to be
reducing … that many insights learned from ‘pre-Deep Learning’ works still apply and will be more …

… Explainable artificial intelligence (XAI) framework In this section, we will give a brief overview
of Explainable Artificial Intelligence (XAI) techniques found in deep learning for medical …

… This study is one of a series of studies aimed at using deep learning artificial intelligence
to automate diagnoses on panoramic radiography. In the future, the deep learning system …

… The goal of this study was to develop and evaluate the performance of a new deep-learning
(DL) artificial intelligence (AI) model for diagnostic charting in panoramic radiography. …