… As evident from the progress and discussion presented in this paper, AI algorithms are
potential to provide a significant contribution to medical diagnostic systems. Nonetheless, in order …

… of material recommended to customers by ML algorithms. Programmatic media bidding is the
… Because AI algorithms and ML are used to assist models, the risk of human error is reduced…

… artificial intelligence (AI) has been applied to the education sector and explore the potential
research trends and challenges of AI in … AI algorithms were not very mature at the beginning …

… be applied to monitoring clinical AI-based algorithms. In addition, we … AI algorithms, including
a lack of ground truth data, AI-… AI algorithms can fail and why a structured and integrated AI-…

… in Artificial Intelligence (AI) algorithms. In this study, a systematic review was performed on AI
and the fairness of AI algorithms… is a lack of formalised AI terminology and definitions which …

… Graphical processing units (GPUs) are also used to accelerate AI algorithms where it speeds
up algorithms from several times to hundreds of times [25]. GPUs are designed to perform …

… Artificial intelligence (AI) algorithms govern in subtle yet … algorithmic systems in the
provision of public services. As … of AI algorithms and a key subset thereof, machine learning (…

… to general AI and because it is … algorithm can produce general intelligence (as happened
on Earth where Darwinian evolution produced human intelligence), I argue that the pursuit of AI…

… that AI systems are capable of analyzing complex algorithms and self-learning, we enter a
new age in medicine where AI … perspective on the evolution of AI over the last several decades …

… developed algorithm, but of course, less computing power is required to simply apply algorithms
… ML use case, related to the development and functioning of many kinds of AI algorithms. …