… 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 …

… 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 …

… 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…

… If we apply artificial intelligence to the human mind, it is reasonable to posit that a self-learning
algorithm might, in combination with a human brain, be able to create a feedback loop. …

… 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 …

… artificial intelligence (AI) … AI methods for medical diagnostic systems. We also go over a
number of illnesses and the relevant Artificial Intelligence (AI) methods, such as machine learning…

… 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 …

… When we at the FTC evaluate an algorithm or other AI tool for illegal discrimination, we look
at … AI and algorithmic tools should consider whether they should engage in self-testing of AI …

… wavelength discrimination curves, 358f., 372, 374, 375, 380, 383 Complex systems, 243
Computational models of color vision color algorithms, 5, 358, 368 color constancy, 351, 360–…