Dear members of the QFAM, We would like to point out that the conference “Modelling”, which will take place in Vienna next year and which we are organising has extended its deadline for submission until 13.10.2019. This also has to do with the fact that too few submissions were received from our ranks. It is probably not necessary to remind you that the conference is not only suitable for our young scientists to publish papers in the field of modelling, but also serves to form and deepen the community and to form a certain science policy opinion, especially for us […]
The DFKI reaches order from the tec4you engineering company (the sister company of the DFKI-SiFa project partner, tec4U – Lösungen verbinden: Beratung, Software und Datenservice aus einer Hand ) for data analysis. Special thanks go to Nijat Mehdiyev for his commitment.
OECD and partner countries formally adopted the first set of intergovernmental policy guidelines on Artificial Intelligence (AI) today, agreeing to uphold international standards that aim to ensure AI systems are designed to be robust, safe, fair and trustworthy. The OECD’s 36 member countries, along with Argentina, Brazil, Colombia, Costa Rica, Peru and Romania, signed up to the OECD Principles on Artificial Intelligence at the Organisation’s annual Ministerial Council Meeting, taking place today and tomorrow in Paris and focused this year on “Harnessing the Digital Transition for Sustainable Development”. Elaborated with guidance from an expert group formed by more than 50 members from governments, […]
Bengio, Hinton and LeCun Ushered in Major Breakthroughs in Artificial Intelligence New York, NY, March 27, 2019 – ACM, the Association for Computing Machinery, today named Yoshua Bengio, Geoffrey Hinton, and Yann LeCun recipients of the 2018 ACM A.M. Turing Award for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing. Bengio is Professor at the University of Montreal and Scientific Director at Mila, Quebec’s Artificial Intelligence Institute; Hinton is VP and Engineering Fellow of Google, Chief Scientific Adviser of The Vector Institute, and University Professor Emeritus at the University of Toronto; and LeCun is Professor at New York […]
The 1st International Workshop on Conceptual Modeling for Multi-Agent Problem Solving will take place from August 10th to 12th, in combination with IJCAI 2019 in Macao, China. You can see a list of the relevant topics of the workshop below: * Conceptual artifacts to visualize and compose multi-agent problem solvers and their requirements* Languages to specify and reason about high-level problem solving* Cooperation frameworks among multiple agents to solve a problem* Task allocation and quality and efficiency issues* Workflow driven coordination to enact and deploy multi-agent problem solver* Formalisms to bridge conceptual and formal models for decision and learning multi-agent AI systems* Evolution […]
IJCAI 2019 Workshop on Conceptual Modeling for Multi Agent Problem Solving This workshop is one result of the Dagstuhl Seminar 18471 on Next-generation Domain-Specific Modeling: Principles and Methods https://www.dagstuhl.de/de/programm/kalender/semhp/?semnr=18471 Call for Papershttp://vienna.omilab.org/repo/files/CM-MAPS/CM-MAPS2019-CfP-v4.pdf (PDF-Download) One of the initial aspects of artificial intelligence studied was problem-solving by autonomous systems. But it was quickly realized that many problems could not be solved by a single autonomous system, and in fact, a single system may not have a complete understanding of the complete problem being solved. Hence, with this as background, the area of cooperative problem solving, distributed artificial intelligence, and multi-agent systems as a comprehensive […]