This paper exploits daily infrared images taken from satellites to track economic activity in advanced and emerging countries. We first develop a framework to read, clean, and exploit satellite images. Our algorithm uses the laws of physics (Planck's law) and machine learning to detect the heat...

Der vorliegende Beitrag betrachtet die wettbewerbs- und medienökonomischen Eigenschaften und Effekte von algorithmischen Such- und Empfehlungssystemen und ihrer Regulierung. Dabei werden nach einer einführenden Klarstellung des Sinns und der Notwendigkeit solcher Systeme in der digitalen Welt...

In this article, we investigate the relative performance of artificial neural networks and structural models of decision theory by training 69 artificial intelligence models on a dataset of 7080 human decisions in extensive form games. The objective is to compare the predictive power of AIs that...

This paper proposes a generalized deep learning approach for predicting claims developments for non-life insurance reserving. The generalized approach offers more flexibility and accuracy in solving actuarial reserving problems. It predicts claims outstanding weighted by exposure instead of loss...