Roadmap and Challenges – WP2
Partners
INRIA, LIU, UCC, UNIBO, TUDa, DFKI, UMA, UNIPI, VW AG, ENG, TIETO, PHILIPS, EDF, ZF AG, CBS, BOSCH, ABB
See partner page for details on participating organisations.
People
Marc Schoenauer (marc.schoenauer@inria.fr), WP leader.
About WP2
The main outcome of this work package is the TAILOR Strategic Research and Innovation Roadmap (SRIR) and Benchmarks, Challenges and Hackathons. They are described in the deliverables or on dedicated pages. Information on ongoing or upcoming challenges is posted on our social media or in our newsletter.
News related to WP2
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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…
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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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Report from Theme Development Workshop “AI for Future Manufacturing”
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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Contribute to the Roadmap for Trustworthy AI 2020-2030
The TAILOR Network is developing a Strategic Research and Innovation Roadmap (SRIR), with the ambition to define the foundations of Trustworthy AI for the years 2020-2030. This major collaborative effort is now in a pivotal phase, with the first version expected end of March 2022. To continue this work, all TAILOR Network members are encouraged…
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Report from the theme development workshop “AI for future healthcare”
The third Joint Theme Development Workshop (TDW) co-organised by CLAIRE, TAILOR and VISION1 on “AI for Future Healthcare” took place on the 16th December 2021 with the aim to develop and identify the most promising and emerging AI topics in the healthcaresector. At this one-day workshop, experts from academia, industry and politics jointly developed initial…
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Report from 2nd TDW “Future Mobility – Value of Data & Trust in AI”
The second Joint Theme Development Workshop (TDW) co-organised by CLAIRE, HumaneAI Net, TAILOR and VISION on “Future Mobility – Value of Data & Trust in AI” took place on the 28th of October 2021 with the aim to develop and identify the most promising and emerging AI topics in the mobility and transportation sector. At…