… Artificial intelligence (AI) has the capacity to reshape all domains of our society. The advent
of intelligent “Things” has contributed to new and (potentially) attractive and innovative …

… challenges for applying ML in the operating systems' main tasks in a low-resource environment.
Artificial Intelligence … exploit AI approaches, specifically machine learning, in the OSes' …

… Within the realm of design, AI has been based upon maximally reducible characteristics
aligned … In the realm of validation of safety, efficacy, and equity, reference standards are being …

… Deep-learning (DL) platforms for hematoxylin and eosin (H&E) image analysis, with preliminary
artificial intelligence (AI)-based grading capabilities of specimens, can evaluate image …

… 55 Although these questions appear to open onto what many would consider to be the
realm of science fiction, they are already part of our social reality. And it is time communication …

… sciences, and geography, pointing out the challenges and issues present in LDA topic models
… This architecture provides systematic guidance for the application of artificial intelligence …

… artificial intelligence and mathematics are closely related with each other. Mathematics helps
to solve the challenging task of hypothetical problems in artificial … in artificial intelligence but …

… of coherence on a vision and challenges is itself a challenge. At least two sometimes
complementary … their historical roots, and to emphasise the biggest challenges to moving forward. …

… Mapping the challenges of AI adoption as perceived by key stakeholders that actually use, …
public sector can help push our understanding of AI impacts beyond the realm of speculation. …

… into how recent advances in Artificial Intelligence (AI) can be applied to Business Intelligence
(BI) systems … We can put these challenges into the following categories of issues related to: …