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ECAI
Credit fairness: lending resources without losing out
Seyed Majid Zahedi and Rupert Freeman
14 Oct 2026
Studying the allocation of shared resources among agents with time-varying demands.
Cybersecurity, evolutionary game theory, and AI safety: an interview with Adeela Bashir
Lucy Smith
09 Oct 2026
In the latest of our interviews with the IJCAI-ECAI 2026 doctoral consortium participants, we learn about how cybersecurity attack and defence behaviours evolve.
Machine learning for clinical time-series forecasting: an interview with Mayra Elwes
Lucy Smith
07 Oct 2026
Our series hearing from the IJCAI-ECAI doctoral consortium participants continues.
monthly digest
AIhub monthly digest: September 2026 – tracking animal populations, recommender systems, and an interview with Ken Goldberg
Lucy Smith
29 Sep 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
When compression techniques don’t just add up: Interaction effects in hybrid LLM compression
Iheb Bouriel
25 Sep 2026
New research finds that combining common LLM compression techniques doesn't just add up — sometimes it backfires, sometimes it surprises.
IJCAI-ECAI 2026 tutorial / workshop round-up part 1
AIhub
23 Sep 2026
Find out more about two sessions on data-centric AI and a trustworthy agentic AI roadmap.
Optimizing sensor placement for estimating wildlife populations: an interview with Hannah Murray
Lucy Smith
22 Sep 2026
Find out more about work presented at IJCAI-ECAI 2026.
How much can fair budget-division rules resist manipulation?
The authors write about their award-winning IJCAI-ECAI paper: "Approximate Strategyproofness in Approval-based Budget Division".
Interview with Yash Saxena: how is external knowledge used in AI systems?
Lucy Smith
15 Sep 2026
What happens to information from external sources as it moves through an AI system?
monthly digest
AIhub monthly digest: August 2026 – IJCAI-ECAI in Bremen, the mathematics of simplicity, and does AI change the way we think?
Lucy Smith
28 Aug 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
#IJCAI-ECAI 2026: social media round-up part 2
Lucy Smith
25 Aug 2026
Find out what's been happening during IJCAI-ECAI in Bremen.
Congratulations to the #IJCAI-ECAI 2026 distinguished paper award winners
Lucy Smith
21 Aug 2026
Find out who has won the prestigious awards at the conference in Bremen.
#IJCAI-ECAI 2026: social media round-up part one
Lucy Smith
18 Aug 2026
What have participants been getting up to during the opening days in Bremen?
What’s coming up at IJCAI-ECAI 2026?
Lucy Smith
14 Aug 2026
Find out what the programme has in store for attendees in Bremen.
monthly digest
2025 digest of digests
Lucy Smith
30 Dec 2025
We look back through the archives of our monthly digests to pick out some highlights from the year.
Interview with Frida Hartman: Studying bias in AI-based recruitment tools
Lucy Smith
02 Dec 2025
In the next in our series of interviews with ECAI2025 Doctoral Consortium participants, we caught up with Frida, a PhD student at the University of Helsinki.
Interview with Mario Mirabile: trust in multi-agent systems
Lucy Smith
18 Nov 2025
We meet ECAI Doctoral Consortium participant, Mario, to find out more about his research.
#ECAI2025 – social media round up
Lucy Smith
31 Oct 2025
Over the past week, researchers have gathered in Bologna for the 28th European Conference on Artificial Intelligence.
monthly digest
AIhub monthly digest: October 2025 – energy supply challenges, wearable sensors, and atomic-scale simulations
Lucy Smith
29 Oct 2025
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Winners of the #ECAI2025 outstanding paper awards announced
Lucy Smith
28 Oct 2025
Find out which articless were selected as ECAI and PAIS outstanding papers.
Looking ahead to #ECAI2025
Lucy Smith
23 Oct 2025
Find out what the programme has in store at the European Conference on AI.
Generating a biomedical knowledge graph question answering dataset
Xi Yan
17 Jan 2025
Introducing PrimeKGQA - a scalable approach to dataset generation, harnessing the power of large language models.
Improving calibration by relating focal loss, temperature scaling, and properness
Viacheslav Komisarenko
28 Nov 2024
In ML classification tasks, achieving high accuracy is only part of the goal; it's equally important for models to express how confident they are in their predictions.
Dynamic faceted search: from haystack to highlight
The authors develop and compare three distinct methods for dynamic facet generation (DFG).
monthly digest
AIhub monthly digest: October 2024 – Nobel Prizes, the AI Song Contest, and towards safe and reliable AI agents
Lucy Smith
29 Oct 2024
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
What’s on the programme at #ECAI2024?
Lucy Smith
17 Oct 2024
Find out what the 27th European Conference on Artificial Intelligence has in store.
