Martina Bacaro

TAILOR researchers from Linköping University strike at the 10th International Planning Competition

In July, the ICAPS conference hosted the 10th International Planning Competition (https://ipc2023.github.io/) in Prague. It empirically evaluates state-of-the-art planning systems on a number of benchmark problems. The goals of the IPC are to promote planning research, highlight challenges in the planning community and provide new and interesting problems as benchmarks for future research. The competition …

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TAILOR Scientists at ECAI 2023 in Krakow

We are thrilled to announce that some TAILOR scientists will participate in one of the most prestigious conferences in the AI field: The European Conference of Artificial Intelligence (ECAI) 2023 in Krakow. ECAI 2023 will feature a full programme of technical papers, as well as many AI-related events of interest for researchers, students and industry …

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IJCAI2023 Distinguished Paper Award to TAILOR Scientists from KU Leuven

Congratulations to Wen Chi Yang, Gavin Rens, Giuseppe Marra and Luc De Raedt on winning the IJCAI 2023 Distinguished Paper Award! The IJCAI Distinguished Paper Awards recognise some of the best papers presented at the conference each year. The winners were selected from among more than 4500 papers by the associate programme committee chairs, the programme and general chairs, and the president of EurAI. …

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The Joint Strategic Research Agenda (SRA): a collaborative effort for the Future of AI

The EU’s six Networks of AI Excellence Centres (NoEs) are providing a Joint Strategic Research Agenda (SRA).  The European Union’s aspirations for AI, Data and Robotics (ADR) that are “made in Europe” demand an ambitious approach to advancing European AI research and development. The EU’s six AI Networks of Excellence (NoEs) – AI4Media, ELISE, ELSA, euROBIN, HUMANE-AI-Net, and …

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Improving inverse abstraction based neural network verification using automated machine learning techniques

Matthias könig PhD at Leiden University Abstract: This project seeks to advance the state of the art in formal neural network verification. Formal neural network verification methods check whether a trained neural network, for example an image classifier, satisfies certain properties or guarantees regarding its behaviour, such as correctness, robustness, or safety, under various inputs …

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Towards Stable and Robust Learning with Limited Labelled Data: Investigating the Impact of Data Choice

Branislav Pecher PhD at Kempelen Institute of Intelligent Technologies, member of Slovak.AI Abstract: Learning with limited labelled data, such as meta-learning, transfer learning or in-context learning, aims to effectively train a model using only a small amount of labelled samples. However, there is still limited understanding of the required settings or characteristics for these approaches …

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BEYOND CHATGPT: Europe needs to act now to ensure technological sovereignty in Next-Generation AI – Call for Action following the EU Parliament Meeting

On May 25th, 2023 TAILOR made its contribution to the event Beyond ChatGPT: How can Europe get in front of the pack on Generative AI Models?, organised by a broad consortium of European projects and Institutions: the HumanE-AI-Net European Network of Centres of Excellence in Artificial Intelligence, the International Research Centre on Artificial Intelligence (IRCAI) under the …

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IJCAI-23 Awards for Research Excellence to prof. Sarit Kraus

The IJCAI-23 Award for Research Excellence, the John McCarthy Award and the Computers and Thought Award are awarded by the IJCAI Board of Trustees, upon recommendation by the IJCAI-23 Awards Selection Committee. The Research Excellence award is given to a scientist who has carried out a program of research of consistently high quality throughout an …

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WP4 workshop at NeSy2023 conference in Siena, 3-5 July 2023

NeSy2023 conference (https://sites.google.com/view/nesy2023/home?authuser=0) will host a TAILOR WP4 workshop on July 3rd, 11:00-13:00, about “Benchmarks for Neural-Symbolic AI”. The workshop will be in hybrid format, however in-person participation is strongly suggested, especially for NeSy researchers and PhD students. For more information, we recommend to visit the webpage https://sailab.diism.unisi.it/tailor-wp4-workshop-at-nesy/. Abstract The study of Neural-Symbolic (NeSy) approaches has …

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