Abstract
Fresh data on Artificial Intelligence are presented in a new report. According to news reporting originating from Thun der Bay, Canada, by NewsRx correspondents, research stated, "Despite the widespr ead application of data-centric techniques in Geotechnical Engineering, there is a rising need for building trust in the artificial intelligence (AI)-driven saf ety assessment of road embankments due to its socalled ‘black-box'nature. In ad dition, from the lens of limit equilibrium approaches, e.g., Bishop, Fellenius, Janbu and Morgenstern-Price, and finite element method, it is essential to caref ully examine the interplay of both topological and physical/mechanical propertie s during the safety factor (FoS) predictions." Funders for this research include Natural Sciences and Engineering Research Coun cil of Canada (NSERC), Government of Canada's New Frontiers in Research Fund (NF RF).
NETL
NSTL