Recently, deep learning (DL) 6-0 igora vibrance has emerged as a revolutionary and versatile tool transforming industry applications and generating new and improved capabilities for scientific discovery and model building.The adoption of DL in hydrology has so far been gradual, but the field is now ripe for breakthroughs.This paper suggests that DL
Classic decision theories typically assume the presence of explicit value-based outcomes after action selections to update beliefs about action-outcome contingencies.However, ecological environments are often opaque, and it remains unclear whether the neural dynamics underlying belief updating vary under conditions characterized by the presence or
Abstract According to Manovich (2001), the database and the narrative are natural enemies, each competing for the same territory of human culture.Aboriginal knowledge traditions depend upon narrative through storytelling and other shared performances.The database objectifies and commodifies distillations of such performances and absorbs them read m