Artificial Intelligence (AI) has become pervasive, enabling transformative advancements in
various industries including smart city, smart healthcare, smart manufacturing, smart virtual …

The rapid development of Artificial Intelligence (AI) technology has enabled the deployment
of various systems based on it. However, many current AI systems are found vulnerable to …

Artificial intelligence (AI) offers organizations much potential. Considering the manifold
application areas, AI's inherent complexity, and new organizational necessities, companies …

AI-based systems are software systems with functionalities enabled by at least one AI
component (eg, for image-, speech-recognition, and autonomous driving). AI-based systems …

AI applications hold great potential for improving healthcare. However, successfully
operating AI is a complex endeavor requiring organizations to establish adequate …

Context: Advancements in machine learning (ML) lead to a shift from the traditional view of
software development, where algorithms are hard-coded by humans, to ML systems …

Operating data-intensive applications on edge systems is challenging, due to the extreme
workload and device heterogeneity, as well as the geographic dispersion of compute and …

Advancements in artificial intelligence (AI) technologies are rapidly changing the competitive
landscape. In the search for an appropriate strategic response, firms are currently engaging …

Background. The increasing reliance on applications with machine learning (ML)
components calls for mature engineering techniques that ensure these are built in a robust …

Recently, Machine Learning (ML) has become a widely accepted method for significant
progress that is rapidly evolving. Since it employs computational methods to teach machines …