As data is at the heart of the industry 4.0, 11 large international groups and the TAILOR network challenge european students from Oct 3 to Dec 3, with the Smarter Mobility Data Challenge for a Greener Future on Codalab. The challenge has been developped by INRIA scientists Marc Schoenaeur and Sebastien Treguer in collaboration with […]
Smarter mobility data challenge Read More »
On 13th and 14th of September, TAILOR had its second annual conference. This time the conference was hosted in Prague, at the beautiful location of Charles University. The major objectives of the conference was to discuss about what TAILOR did so far, to make a plan for the next year, and finally to meet in
Impressions from TAILOR Conference in Prague Read More »
The Meta Learning from Learning Curves challenge is an academic challenge in the 2022 part of the MetaLeran Series of data challenges run by Chalean. a non-for-profit organization lead by Isabelle Guyon (INRIA) in collaboration with TAILOR. The challenge is that of a portfolio of learning algorithms / hyperparameters: it is then possible to run
Meta Learning from Learning Curves 2 Read More »
The TAILOR project is focussed on Trustworthy Artificial Intelligence through Learning, Optimization and Reasoning, and address topics that are currently very actively investigated. Therefore, defining a roadmap was an ambitious endeavour. The editorial team led by Marc Schoenauer, INRIA, France and Michela Milano, Bologna University have assembled voices from the TAILOR network and beyond to
The TAILOR roadmap shows the path towards Trustworthy AI Read More »
Leslie Pack Kaelbling, Panasonic Professor of Computer Science and Engineering at the Department of Electrical Engineering and Computer Science of Massachusetts Institute of Technology, will give a keynote speak at the upcoming TAILOR conference in Prague, on Semptember 13th 2022, 14-15 (CET). Abstract We, as robot engineers, have to think hard about our role in the design
Rich Sutton, professor at the department of Computing Science at Alberta University, will give a keynote speak at the upcoming TAILOR conference in Prague, 13-14 September 2022. The keynote is organised as a joint event with the outreach event Prague Computer Science Seminar. Abstract The keynote will present the Alberta Plan for AI research, based
Rich Sutton and the Alberta Plan for AI Research Read More »
Aiming towards combating the challenges faced by fake video detection, the prime objective of this research is to develop a proactive, advanced explainable, human collaborated AI-based online disinformation detecting tool for securing a trustworthy social media environment.
Deep fake videos detection through Explainable AI Read More »
The following video has been produced by WP12 and is availble upon request for anyone who would like to use it to promote the network. It’s ideal to be used as on a monitor during events such as fairs or other meetings or social media.
A “sound off” video for noisy environments and social media Read More »
During the week from 13th to 17th of June, the 19th EurAI Advanced Course on AI (ACAI) and 2nd TAILOR summer school was organised in Barcelona. This joint initiative was devoted to the themes of explainable and trustworthy AI and organized by Carles Sierra and Karina Gibert from the Intelligent Data Science and Artificial Intelligence Research Center at Universitat
Impressions from The Joint TAILOR-EurAI Summer school in Barcelona Read More »
Guest Editors Roberta Calegari, Alma Mater Studiorum-Università di Bologna, Italy – roberta.calegari@unibo.it Fosca Giannotti, Scuola Normale Superiore, Italy – fosca.giannotti@isti.cnr.it Michela Milano, Alma Mater Studiorum-Università di Bologna, Italy – michela.milano@unibo.it Francesca Pratesi, National Research Council, Italy – francesca.pratesi@isti.cnr.it This special issue calls for surveys that address at least one dimension of Trustworthy Artificial Intelligence (TAI) and provide a broad and
Call for Papers: ACM Computing Surveys – Special Issue on Trustworthy AI Read More »
