… In Section II, we introduce the basic of machine learning and artificial neural networks.
Section III presents several key types of artificial neural networks such as feed-forward neural …

… before learning the desired tasks [26]. However, it should be noted that machine learning is
… extends into solving complex artificial intelligence challenges by learning and adapting to a …

Background Driven by the rapid development of big data and processing power, artificial
intelligence and machine learning (ML) applications are poised to expand orthopedic surgery …

… machine learning and the empirical work we have undertaken covers technologies in machine
learning … any of its constituent technologies such as machine learning. Instead, it aims to …

… At GE Research, we are combining “physics” with artificial intelligence and machine
learning to advance manufacturing design, processing, and inspection, turning innovative …

… to evaluate the application of artificial intelligence, machine learning, and smart technology
… define the search results including “artificial intelligence”, “machine learning”, and “smart …

… Artificial intelligence (AI) is the field of computer science that develops systems able to
perform tasks commonly associated with intelligent human beings [1]. Machine learning (ML) is a …

… The evidence of Machine Learning (ML) and Artificial Intelligence (AI) application on the
previous epidemic encourage researchers by giving a new angle to fight against the novel …

… The results of this systematic review underscore the significant impact of Artificial Intelligence
(AI) and Machine Learning (ML) technologies on various aspects of healthcare delivery, …

… as “Artificial Intelligence” which is a subfield of computer science. Artificial intelligence along
with machine learning is … Study in this area of artificial intelligence has rapidly influenced the …