Rich Sutton and the Alberta Plan for AI Research

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 …

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Deep fake videos detection through Explainable AI

Nadeem Qasi Senior Lecturer/Associate Professor Deep fake videos detection through explainable AI to combat disinformation on social media 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. …

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Impressions from The Joint TAILOR-EurAI Summer school in Barcelona

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 …

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Call for Papers: ACM Computing Surveys – Special Issue on Trustworthy AI

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 …

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Leading European Stakeholder Discussed Aspects of AI for Future Manufacturing by Invitation of VISION and TAILOR

On the 10th of May 2022, the fourth joint  “Theme Development Workshop” (TDW) focused on the latest trends and challenges of “AI for Future Manufacturing”. The discussion hosted close to 80 key experts from 20 European countries, from both academia and the manufacturing sector, as well as other relevant stakeholders. The participants had one primary, but still very challenging …

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Cross-Domain MetaDL: Any-Way Any-Shot Learning Competition with Novel Datasets from Pratical Domains

Meta-learning aims to leverage the experience from previous tasks to solve new tasks using only little training data, train faster and/or get better performance. The proposed challenge focuses on “cross-domain meta-learning” for few-shot image classification using a novel “any-way” and “any-shot” setting. This challenge is part of TAILOR WP2 (see more information here). Goal The …

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Accepted papers by TAILOR scientists to IJCAI-ECAI 2022

A lot of TAILOR scientists submitted their paperworks to the 31st International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2022). The conference will be in Vienna, from 23rd to 29th of July, 2022. Here below the (not full) list of accepted papers presented by people involved in TAILOR: A …

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A TAILOR paper selected for oral presentation at CVPR 2022

A paper on learning from a limited data for human body/pose estimation from TAILOR researcher Hossein Rahmani, Lancaster University, has been accepted in the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2022) for oral presentation (acceptance rate is ~4%). This work has been done in collaboration with researchers from Singapore, US and …

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