On April 25th, 2018, the European Commission has published a Communication outlining a European approach to AI, based on three pillars: Boosting the EU's technological and industrial capacity and AI uptake across the economy, both by the private and public sectors. This includes investments in research and innovation and better access to data. Preparing for socio-economic [...]
BNAIC 2018 will be co-located with BeneLearn 2018! The joint event will take at the Jheronimus Academy of Data Science (JADS) in ‘s-Hertogenbosch on November 8-9, 2018. For more information, see https://bnaic2018.nl.
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The European Association for Artificial Intelligence has launched a call for nominations for its Dissertation Award (1.500€). BNVKI members are also members of EurAI and may therefore be eligible for this award!
The One Hundred Year Study of Artificial Intelligence (AI100), an initiative of Stanford University, has launched its 2018 call for proposals for study workshops.
The first presentation in this session was given by David Roschewitz from Maastricht University, who presented a joint work with Kurt Driessens and Pieter Collins titled "Simultaneous Ensemble Generation and Hyper parameter Optimization for Regression". The authors presented a method to simultaneously generate ensembles and tune the hyper parameters of the models for regression problems. [...]
This session included four fascinating presentations, focussing on different aspects of Knowledge Representation and Reasoning. The first paper, titled 'Constructing Knowledge Graphs of Depression', was presented by Frank van Harmelen, and was co-authored by Zhisheng Huang, Jie Yang, and Qing Hu. Frank presented a collaborative project between the VU and Beijing Anding hospital that focused [...]
The session on Games consisted of four presentations discussing applications of mathematical game theory in multi agent systems. The first two presentations presented the work of Gleb Polevoy and Mathijs de Weerdt on agents that need to divide their available time over multiple projects, respectively multiple group interactions. An example of the former is the [...]
In the Uncertainty in AI session three papers were presented. Two papers were wholly or partly motivated by legal applications. Remi Wieten from Utrecht university addressed the problem that Bayesian networks, while increasingly popular in forensic science, are poorly understood by legal experts. This problem makes it hard to build reliable Bayesian networks for crime [...]