Paving the way for AI we can trust – CORDIS on TAILOR project

The Community Research and Development Information Service (CORDIS) is the European Commission’s primary source of results from the projects funded by the EU’s framework programmes for research and innovation, from framework programme 1 to Horizon Europe. It was originally created in 1990, and is managed by the Publications Office of the EU under the direction …

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TAILOR scientists at NeurIPS 2022

The NeurIPS conference 2022 will be in New Orleans from Monday, November 28th through Friday, December 9th. The NeurIPS conference is one of the major worldwide annual appointments in the field of AI. The conference was founded in 1987 and is now a multi-track interdisciplinary meeting that includes invited talks, demonstrations, symposia, and oral and poster presentations …

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New projects funded by Connectivity Fund

Also for this call, Connectivity Fund received many applications. We are glad to announce the funded projects for this session: For having a look to the other projects granted by Connectivity Fund, check this webpage: https://tailor-network.eu/connectivity-fund/funded-projects/ The next call for Connectivity Fund will be in 4 months. The next deadline is in 15th of March …

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A Modular Framework for Hybrid Participatory Systems

Enrico Liscio – TU Delft PhD student Participatory systems aim to elicit citizens’ stances on societal discussions to inform policy making. In particular, human values are a crucial component of citizens’ stances, since they are the drivers of our opinions and behaviors. AI can enable mass participation and process large quantity of citizens’ input. However, …

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Trustworthy AI for human behavior prediction by autonomous

Julian F. Schumann – TU Delft PhD student For humans to trust autonomous vehicles, they need to have confidence in the vehicles’ ability to reliably resolve space-sharing conflicts with other traffic participants in a safe manner – such as in the case of crossing or merging paths. Planning safe and efficient interactions for autonomous vehicles …

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Graph Gaussian Processes for Interactive Robot Task Learning

Giovanni Franzese – TU Delft PhD candidate The adaptability of robot manipulators to many different tasks is currently constrained by systematic hard coding of each specific task. Recent machine learning methods like Learning from Demonstrations (LfD) and Reinforcement Learning (RL) have shown promising results in having fast reprogramming of the task using human demonstrations or …

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