Datalog 2.0 is a workshop for Datalog researchers, implementors, and users. Its aim is to bring together researchers and practitioners interested in different aspects of Datalog to share research experiences, promote collaboration and identify directions for joint future research.
Web page: https://sites.google.com/view/datalog-2-0-2026/home
The HYDRA workshop aims to bridge the gap between deductive and inductive reasoning, two powerful yet fundamentally distinct paradigms in Artificial Intelligence (AI). Deductive reasoning relies on explicit premises and logical inference rules to derive specific conclusions, whereas inductive reasoning generalizes from observations, often leveraging Machine Learning and Deep Learning techniques. The integration of these approaches offers the potential to develop more robust and flexible AI systems capable of reasoning effectively across diverse contexts. However, neither deductive nor inductive methods alone can be considered fully comprehensive solutions to AI challenges. Investigating how these paradigms can be effectively combined is therefore essential for developing novel solutions that exploit the strengths and address the limitations of both.