News

TAILOR Selected papers: November 2024

Every month, we want to acknowledge some valuable TAILOR papers, selected among the papers published by scientists belonging to our network by TAILOR principal investigator Fredrik Heintz. The list of the most valuable papers gathers contributions from different TAILOR partners, each providing valuable insights on different topics related to TrustworthyAI. This is the very last […]

TAILOR Selected papers: November 2024 Read More »

TAILOR Selected papers: October 2024

Every month, we want to acknowledge some valuable TAILOR papers, selected among the papers published by scientists belonging to our network by TAILOR principal investigator Fredrik Heintz.The list of the most valuable papers gathers contributions from different TAILOR partners, each providing valuable insights on different topics related to TrustworthyAI.Stay tuned for other valuable insights and

TAILOR Selected papers: October 2024 Read More »

TAILOR Selected papers: September 2024

Every month, we want to acknowledge some valuable TAILOR papers, selected among the papers published by scientists belonging to our network by TAILOR principal investigator Fredrik Heintz.The list of the most valuable papers gathers contributions from different TAILOR partners, each providing valuable insights on different topics related to TrustworthyAI.Stay tuned for other valuable insights and

TAILOR Selected papers: September 2024 Read More »

TAILOR Selected papers: August 2024

Every month, we want to acknowledge some valuable TAILOR papers, selected among the papers published by scientists belonging to our network by TAILOR principal investigator Fredrik Heintz.The list of the most valuable papers gathers contributions from different TAILOR partners, each providing valuable insights on different topics related to TrustworthyAI.Stay tuned for other valuable insights and

TAILOR Selected papers: August 2024 Read More »

New projects funded by Connectivity Fund

The TAILOR Connectivity Fund has provided many young researchers with the opportunity to conduct research abroad within the TAILOR network of laboratories, encouraging international exchange and strengthening internal collaboration within the project. We are very pleased to publish the latest projects that have benefited from the Connectivity Fund. Find all the projects funded by the

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ESSAI & ACAI 2023 summer school

Vida Groznik PhD student at University of Ljubljana, Faculty of Computer and Information Science The ESSAI & ACAI 2023 summer school took place in Ljubljana, Slovenia from July 24 to 28, 2023. The school was comprised of two main parts: the first European Summer School on Artificial Intelligence (ESSAI), which ran in six parallel sessions,

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TAILOR Selected paper: July 2024

Every month, we want to acknowledge some valuable TAILOR papers, selected among the papers published by scientists belonging to our network by TAILOR principal investigator Fredrik Heintz.The list of the most valuable papers gathers contributions from different TAILOR partners, each providing valuable insights on different topics related to TrustworthyAI.Stay tuned for other valuable insights and

TAILOR Selected paper: July 2024 Read More »

TAILOR delegation to Brussels

On May 30th 2024, representatives of the TAILOR network ( Fredrik Heintz, Roberta Calegari, Luc De Raedt and Trine Platou), made a delegation trip to Brussels to meet European policy stakeholders within the AI and research funding space. The delegation met the DG Research and Innovation, Unit Industry 5.0 & AI in Science, Digital and

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Shaping the Future of AI within the EU

In an era marked by rapid technological advancements, the European Union is taking decisive steps to harness the power of Artificial Intelligence responsibly. Recognizing AI’s vast potential alongside the imperative for safety and trust, the EU has spearheaded the TAILOR Network, a pioneering research initiative aimed at shaping a future where AI technologies are developed

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Safe and powerful AutoAI solutions amplify future research and innovation in many domains

Machine learning and other AI technologies have the potential to greatly increase scientific output in many domains, while even increasing quality and lowering costs. However, due to the current exponential growth and influx of investment and interest, access to computer scientists and machine learning specialists is often a limiting factor. Scientists working in the group

Safe and powerful AutoAI solutions amplify future research and innovation in many domains Read More »