This project will create an openQKD testbed for quantum communication which is highly relevant for future AI and machine learning
The Human-Centered AI Lab (HCAI) invites the international machine learning community to a challenge on explainable AI and towards IQ-Tests for machines
Springer Lecture Notes in Artificial Intelligence LNAI 9605 Machine Learning for Health Informatics exceeded 80,000 downloads
Andreas Holzinger provided a talk on 26.07.2019 in Edmonton for the faculty members of the University of Alberta Computing Science Faculty
On June, 6, 2019, 10:00-16:00 we organize in Graz/Austria a small Symposium on AI/Machine Learning for Digital Pathology
First Austrian IFIP Forum “AI and future society: The third wave of AI, which takes place on Wednesday, May 8th – Thursday, May 9th 2019 in 1030 Vienna, Radetzkystraße 2, Festsaal of the BMVIT,
Effective (future) Human-AI interaction must take into account a context specific mapping between explainable-AI and human understanding.
In our recent paper we define the notion of causability, which is different from explainability in that causability is a property of a person, while explainability is a property of a system!
There are many different machine learning algorithms for a certain problem, but which one to chose for solving a practical problem? The comparison of learning algorithms is very difficult and is highly dependent of the quality of the data!