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AIhub monthly digest: August 2026 – IJCAI-ECAI in Bremen, the mathematics of simplicity, and does AI change the way we think?

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 report on events at IJCAI-ECAI 2026, learn about the mathematics of simplicity, investigate the accountability vacuum, and find out how AI changes the way we […]

AIhub monthly digest: August 2026 – IJCAI-ECAI in Bremen, the mathematics of simplicity, and does AI change the way we think? Read More »

#IJCAI-ECAI 2026: social media round-up part 2

The 35th International Joint Conference on Artificial Intelligence and the 29th European Conference on Artificial Intelligence (IJACI-ECAI 2026) took place in Bremen, Germany from 15-21 August. In the second of our social media round-ups we find out about the doctoral consortium, drop into the keynotes, and look back on an action-packed week. If you missed

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Congratulations to the #IJCAI-ECAI 2026 distinguished paper award winners

The 35th International Joint Conference on Artificial Intelligence and the 29th European Conference on Artificial Intelligence (IJACI-ECAI 2026) distinguished paper awards recognise some of the best papers presented at the conference each year. This year, three articles were named as distinguished papers. And the winners are… Approximate Strategyproofness in Approval-Based Budget Division Haris Aziz, Patrick

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#IJCAI-ECAI 2026: social media round-up part one

The 35th International Joint Conference on Artificial Intelligence and the 29th European Conference on Artificial Intelligence (IJACI-ECAI 2026) is currently taking place in Bremen, Germany. The first couple of days saw the attendees enjoy some of the many tutorials and workshops on offer. The official opening ceremony took place yesterday morning (Monday 17 August). Find

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What’s coming up at IJCAI-ECAI 2026?

The 35th International Joint Conference on Artificial Intelligence and the 29th European Conference on Artificial Intelligence (IJACI-ECAI 2026) will be held from 15-21 August, in Bremen, Germany. The conference will feature workshops and tutorials, keynote and invited talks, technical presentations, posters, diversity and inclusion event, outreach, and more. Keynote speakers There are five keynote talks:

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AIhub | NeurIPS awards

Congratulations to the #IJCAI2026 award winners

Image credit: Photo by Giorgio Trovato on Unsplash. The winners of three International Joint Conferences on Artificial Intelligence (IJCAI) awards have been announced. These three distinctions are: the Award for Research Excellence, the Computers and Thought Award and the John McCarthy Award. IJCAI-26 Award for Research Excellence The Research Excellence award is given to a

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CogTwin: A framework for adaptable digital twins

CogTwin is a hybrid cognitive architecture framework designed to bring autonomous reasoning and real-time adaptation to digital twin systems. Presented at IJCAI 2025, this work aims to advance the state of digital twin technology by addressing key gaps in autonomy, cognition, and real-time decision-making. The problem landscape: shifting digital twins from reactive to proactive systems

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Panda and tiger reading

AIhub monthly digest: July 2026 – time-series anomaly detection, music generation, and RoboCup in action

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 find out about time-series anomaly detection, delve into music generation, honour award winners, and catch up on the action from the RoboCup humanoid soccer league.

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AIhub monthly digest: February 2026 – collective decision making, multi-modal learning, and governing the rise of interactive AI

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.

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