Pedro Zuidberg Dos Martires Postdoctoral Researcher at Örebro University (Sweden) Abstract algebra provides a formalism to study sets and how the elements of these sets relate to each other by defining relations between set elements. Abstract algebraic structures are abundantly present in artificial intelligence. For instance, Boolean algebra constitutes the bedrock of symbolic AI. Interestingly, […]
Learning Neural Algebras Read More »
Pawel Teisseyre Assistant Professor at the Polish Academy of Sciences The goal of the research stay is to explore learning classification models using positive-unlabelled (PU) data. In PU learning, it is assumed that only some observations in training data are assigned label, which is positive, whereas the remaining observations are unlabelled and can be either
Learning trustworthy models from positive and unlabelled data Read More »
Francesca Naretto PhD Student In April 2021, the EU Parliament published a proposal, the AI Act (AIA), for regulating the use of AI systems and services in the Union market. However, the effects of EU digital regulations usually transcend its confines. An example of what has been named the “Brussel effect” – the high impact
Imagining the landscape after the AI Act Read More »
The TAILOR project unites 54 organisations and probably more than 500 scientists. Do you know them all? Probably not! Consequently, in 2023, we organise two new initiatives which will allow you to get to know us better: the TAILOR Open meetings and the social media campaign #WeAreTAILOR.
The #WeAreTAILOR social media campaign and bi-monthly open meetings Read More »
A lot of TAILOR scientists submitted their paperwork to the 37th AAAI Conference on Artificial Intelligence (AAAI 2023), which will take place in n Washington, DC, US from February 7th to 14th, 2023. Here below is the (not full) list of accepted papers presented by people involved in TAILOR: Find an overview of the AAAI Conference
Accepted papers by TAILOR scientists to AAAI 2023 Read More »
WP12 has produced a set of posters, a roll-up and a beach flag that is available to the consortium for use upon request. The files can be found on the shared drive (only for partners).
Posters, roll-up and a flag to promote the TAILOR network Read More »
TAILOR WP3 and WP4 would like to announce a new Coordinated Action focussed on Explainability & Time Series. The objective is to design novel methods for time series explanations and apply them into real case studies, such as high tide in Venice or similar. A first call for this Coordinated Action will be organised in
Explainability & Time Series Coordinated Action Read More »
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
Launch of the Collaboration Exchange Fund Read More »
The 3rd TAILOR summer school will be co-arranged with ESSAI, by Saso Džeroski at Jožef Stefan Institute, partner of TAILOR. The first ESSAI-TAILOR Summer School will be held in Ljubljana, Slovenia between the 24th and 28th of July 2023. The European Summer School in Artificial Intelligence (ESSAI) is a new annual summer school held under
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.
Two new AI projects: vera.ai and MAMMOth Read More »
