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By Khawar Islam A hospital may only ever collect a few dozen scans of a rare condition – for example, an unusual tumour. The radiology department wants software to flag this on a scan – not to replace the specialist, but so a hospital without one still gets their scan checked the same way. The […]
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
A new system developed at MIT uses three agents to piece together the objects, walls, and overall look of a 3D scene. Its realistic recreations of indoor spaces help robots practice skills and try out different ways of doing tasks before they’re powered on. Image: Tim Malieckal/MIT CSAIL using assets from the researchers. By Alex
AI agents create virtual playgrounds to help robots get crucial training data Read More »
Elise Racine / Static / Licenced by CC-BY 4.0 This cross-post from AI Matters is co-authored by Prof. Larry Medsker and Sumit Virmani. It outlines the current accountability vacuum faced by the deployment of agentic AI systems into an unprepared regulatory and legal landscape, and suggests actions that can close the gap. With thanks to
The accountability vacuum: Agentic AI in high-stakes domains Read More »
Physics-based simulations can help identify which peptide antibiotics can kill a bacteria like E. coli, pictured here using electron microscopy. (Nurgul D / Wikimedia Commons) CC BY-SA 4.0. By Rachael (Ré) A Mansbach, Concordia University and Jyler Menard By 2050, scientists estimate that antibiotic-resistant infections will be associated with more than eight million deaths around
How generative AI and physics can help design new antibiotics Read More »
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
CogTwin: A framework for adaptable digital twins Read More »
Transparency in artificial intelligence has become a question of provenance. Provenance tells you where a piece of content came from; it does not tell you why what it asserts was decided.
A number with no recorded reason may end up deciding for a patient Read More »
In healthcare settings where patients use LLMs as a medical assistant, LLM performance differs between evaluation and deployment. (a) Bean et al. (2025) find a 61 percentage point difference between evaluation and deployment. (b) We argue this gap arises not from poorly designed benchmarks, but from implicit assumptions embedded in evaluation protocols that fail to
Healthcare benchmarks are only as good as their assumptions Read More »
Yutong Liu & Kingston School of Art / Talking to AI 2.0 / Licenced by CC-BY 4.0 Humans have been successfully trained to spot AI-generated faces in a study led by researchers at the Australian National University (ANU) Emotions and Faces Lab. AI-generated deepfake faces have become so realistic that it is difficult for people
Humans trained to spot AI faces in the battle against deepfake fraud Read More »
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.
