… The fields of machining learning and artificial intelligence are … , thereby masking their likely
impact to the materials, processes, … pose obstacles to machine-learning implementation. The …

… Artificial intelligence along with machine learning is now a … Study in this area of artificial
intelligence has rapidly influenced the emergence of smart technologies that has a huge impact …

… with the focus on methods that use AI and machine learning. The purpose of the survey is to
… The key challenges in the application of artificial intelligence and machine learning to fraud …

… This article aims to model the challenges of implementing artificial intelligence and machine
earning (AI-ML) for moderating the impacts of COVID-19, considering the agricultural supply …

… For these issues, in the big data analytics era, AI-driven and Machine Learning (ML) tools …
which we can measure possible consequences and societal impacts by taking the following …

… There were many steps in the development, as reported by Newman, Fréchette, and Leyton-
Brown (forthcoming), but here we emphasize the role of machine learning. Auctionomics’ …

… positively impacted by artificial intelligence or its subfields. Machine learning and deep
learning, apart from having a positive impact on different sectors of businesses, machine learning …

Artificial intelligence (AI) and machine learning (ML) approaches have caught the attention
of many in health care. Current literature suggests there are many potential benefits that …

… are digitalization driven by machine learning and AI, rather … machine learning and artificial
intelligence and emphasize certain tools. In subsequent sections, we will discuss the impact of …

… that real world deployments of machine learning algorithms in clinical practice are rare.
Despite this, we believe that AI will have a positive impact on many aspects of medicine. AI …