Paper on the capabilities of Deep Generative Learning accepted for presentation at HICSS-54
Algorithms that create previously unseen, yet realistic images and melodic music? Machine learning models that literally read human minds? Peter Hofmann, Timon Rückel and I shed light on the capabilities of Deep Generative Learning and are happy to present our paper "Innovating with Artificial Intelligence: Capturing the Constructive Functional Capabilities of Deep Generative Learning" at the 54th Hawaii International Conference on System Sciences (HICSS-54).
Our article "Digitalisierung in der Justiz – Vertrauen in digitale Dokumente durch Blockchain-Technologie" (Digitalization in justice – Trust in digital documents through blockchain technology) has been published in Wirtschaftsinformatik & Management and is available online (Open Access).
Our paper "A contingency lens on cloud provider management processes" co-authored by Severin Oesterle, Jan Jöhnk, Robert Keller, Xin Yu and me has been accepted for publication in Business Research and has already been published online (Open Access).