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Socceroos’ World Cup squad revealed as Tony Popovic rolls dice with two uncapped strikers
Cristian Volpato and Tete Yengi included in final 26-man squadJoe Gauci, Kye Rowles, Brandon Borrello and Martin Boyle miss outThe Socceroos have named two uncapped attackers in their World Cup squad for this month’s World Cup, as coach Tony Popovic rolls the dice in a bid to find an attacking spark. Winger Cristian Volpato, the former Italy youth international, has been rushed into the squad after the paperwork allowing his change of allegiance was only completed in the past week. Towering...
DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination
Announce Type: new Abstract: Multi-agent large language model (LLM) systems often fail to reliably outperform a single strong model equipped with best-of-N sampling. We argue that a core source of this instability is ill-posed equilibrium selection: current systems specify what information agents share, but not which coordination convention should be selected. We formalize a broad class of such systems as discounted incomplete-information Markov games and show that two common pathologies,...
Nurses throw dice in 300-year-old ceremony
The Guildford tradition, originally for a "maid of good report", recognises local care-givers.
How reliable are LLMs when it comes to playing dice?
Announce Type: new Abstract: We investigate the probabilistic reasoning capabilities of large language models through a controlled benchmarking study on discrete probability problems. We constructed two datasets, respectively a set of standard exercises and a set of counterintuitive exercises, designed to trigger heuristic reasoning, and evaluated 8 state-of-the-art models, each tested with and without Chain-of-Thought prompting. Models achieve an average accuracy of 0.96 on standard...
To Use AI as Dice of Possibilities with Timing Computation
arXiv:2605.01134v2 Announce Type: replace Abstract: The dominant noun-based modeling paradigm has fundamentally constrained AI development, precluding any adequate representation of the future as an open temporal dimension. This paper introduces a verb-based paradigm, together with precise definitions of \emph{timing computation} and \emph{possibility}, that enables AI to function as an effective instrument for realizing the grammar of our thought. Applied to longitudinal EHR data from 3,276...
Modeling, Optimizing and Exploring Multi-Die FPGA Routing Architectures
Announce Type: new Abstract: Die stacking has enabled 2.5D FPGAs by integrating multiple active dice on a passive silicon interposer for improved yield and capacity, and paved the way for 3D architectures that stack active dice directly atop one another. In these multi-die devices, the unique electrical and physical characteristics of the underlying die-stacking technology impose limitations on inter-die connection density and latency, necessitating a bespoke inter-die routing architecture....
SC-MFJ: A Simple Haptic Quality Metric for Medical Image Segmentation
arXiv:2606.06199v1 Announce Type: new Abstract: Standard segmentation metrics such as Dice and Hausdorff distance measure geometric overlap but say nothing about whether a segmented surface is suitable for haptic rendering in surgical simulation. We propose SC-MFJ (Surface-Constrained Mean Force Jerk), a simple, inexpensive metric that samples a segmented organ surface with many short virtual stylus walks and measures how jerky the resulting contact forces are.
'Tinder date whisked me off to Italy hours after we met - it was like a fairytale'
EXCLUSIVE: 'Tinder date whisked me off to Italy hours after we met - it was like a fairytale' Lisa Shepherd had her mind blown when she hooked up online with an American visiting the UK and at his suggestion the couple's romance took off - quite literally A singleton was whisked off on a 'fairytale' getaway to Italy by her Tinder match - just hours after their first date. Lisa Shepherd had been using dating apps for a few months in the hope of finding her 'dream' fella when she matched with...
A Novel Global Context-aware Deep Neural Network for Enhanced Brain Tumor Segmentation using Magnetic Resonance Images
arXiv:2605.30510v1 Announce Type: new Abstract: Brain cancer's severity necessitates precise brain tumor segmentation, which is crucial for effective brain tumor diagnosis. Manual identification, burdened by high costs, labor, and error risks, highlights the need for automated methods. In this study, we introduce the Global Context-aware Squeeze and Excite Residual UNet (GCSER-UNet), which facilitates a fusion of spatial and channel-wise attention and thus enhances the model's capacity to...
ROBUST-WT: Robust Uncertainty-aware Segmentation Transform via Whitening and Training Enhancements
arXiv:2606.03069v1 Announce Type: new Abstract: Generalized segmentation of medical images prevents performance degradation when different imaging devices and clinical protocols are used across multiple domains. The Whitening Transform-based Probabilistic Shape Regularization Extractor (WT-PSE), published in IEEE Transactions on Medical Imaging in 2024, addresses this challenge by employing feature decorrelation and Wasserstein distance-based knowledge distillation to achieve robust...