IJCAI2025

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Interview with Kate Larson: Talking multi-agent systems and collective decision-making

ai, AI (Artificial Intelligence), Artificial Intelligence, IJCAI, IJCAI2025, opinions

What if AI were designed not only to optimize choices for individuals, but to help groups reach decisions together? At IJCAI 2025 in Montreal, I had the pleasure of speaking with Professor Kate Larson of the University of Waterloo, a leading expert in multi-agent systems whose research explores how AI can support collective decision-making. In […]

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Learning from logical constraints with lower- and upper-bound arithmetic circuits

ai, AI (Artificial Intelligence), articles, Artificial Intelligence, IJCAI, IJCAI2025

How can we train neural networks efficiently to be more consistent with background knowledge? Neural networks are remarkably good at recognising patterns in data, from images to language, but they often fail to respect rules and relationships that are obvious to humans. For instance, a neural network may learn to recognise road agents, their action,

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Rewarding explainability in drug repurposing with knowledge graphs

articles, Artificial Intelligence, IJCAI, IJCAI2025

Drug repurposing often starts as a hypothesis: a known compound might help treat a disease beyond its original indication. A good example is minoxidil: initially prescribed for hypertension, it later proved useful against hair loss. Knowledge graphs are a natural place to look for such hypotheses because they encode biomedical entities (drugs, genes, phenotypes, diseases)

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