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Launch of the Collaboration Exchange Fund

We have just launched a new funding mechanism, the TAILOR Collaboration Exchange Fund (CEF). This fund is open for all TAILOR PhD students, for research visits between 1-3 months at another TAILOR organisation. The fund is intended to strenghten collaboration and increase exchanges between partners. This fund is operating under a continuous call, with cut-off …

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Two new AI projects: vera.ai and MAMMOth

Two new Horizon Europe AI projects were recently launched by members of our network. The first one, vera.ai, seeks to build trustworthy AI solutions against disinformation and to set the foundation for future research in the area of AI against disinformation. The second project, MAMMOth, tackles bias that may lead to discriminating against minority and marginalised groups. MAMMOth will create tools for fairness-aware AI which ensure respect to protected attributes like gender, race and age.

Brain Age Prediction Challenge

The Brain Age Prediction Challenge, available on the Codalab platform, was launched as part of the NeurotechX Hackathon. In this challenge, participants are invited to use AI to predict the age of an individual from an electroencephalogram (EEG) recording time series. Such age predictions can be an important path to the development of computational psychiatry diagnosis methods. The brain age prediction challenge is running from November 4-22.

The TAILOR roadmap shows the path towards Trustworthy AI

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 …

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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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