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 »
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 »
The TAILOR network will soon launch a new fund, the TAILOR Collaboration Exchange Fund (CEF), for intra-network exchanges. It will fund short (1-3 months) research stays for TAILOR PhD students who would like to visit other TAILOR labs.
Soon coming: The TAILOR Collaboration Exchange Fund! Read More »
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.
Brain Age Prediction Challenge Read More »
It’s time to apply for the TAILOR connectivity fund! The fund is open to all European AI researchers, who has great idea to do excellent AI research and an invitation to spend time in another European lab. The focus lies on connecting TAILOR and non-TAILOR labs, and the next deadline is November 15. The TAILOR
Connectivity fund – deadline Nov 15 Read More »
TAILOR scientists Giuseppe de Giacomo, Fredrik Heintz, Holger Hoos, Ana Paiva, Carles Sierra and Manolis Koubarakis were recently elected Member of the EurAI Board.
6 TAILOR scientists in new EurAI board Read More »
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 »
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 »
