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Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we explore multi-agent systems and collective decision-making, dive into neurosymbolic Markov models, and find out how robots can acquire skills through interactions with the physical world. […]
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
Interview with Kate Larson: Talking multi-agent systems and collective decision-making Read More »
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,
Learning from logical constraints with lower- and upper-bound arithmetic circuits Read More »
2025 has seen another busy 12 months in the world of artificial intelligence. Throughout the year we’ve reported on some of the larger stories, and some of the lesser-covered happenings, in our regular monthly digests. We look back through the archives and pick out one or two stories from each of our digests. January 2025
2025 digest of digests Read More »
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)
Rewarding explainability in drug repurposing with knowledge graphs Read More »
