Tootfinder

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data
Jingya Cheng, Jiazi Tian, Federica Spoto, Alaleh Azhir, Daniel Mork, Hossein Estiri
https://arxiv.org/abs/2509.08679

Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data
\textbf{Background:} Machine learning models trained on electronic health records (EHRs) often degrade across healthcare systems due to distributional shift. A fundamental but underexplored factor is diagnostic signal decay: variability in diagnostic quality and consistency across institutions, which affects the reliability of codes used for training and prediction. \textbf{Objective:} To develop a Signal Fidelity Index (SFI) quantifying diagnostic data quality at the patient level in dementi…

Microsoft says clients of its Azure cloud platform may experience increased latency after multiple international cables in the Red Sea were cut (Susanne Barton/Bloomberg)
https://www.bloomberg.com/news/articles/2025-09-06/mic…

Perdido numa ilha deserta, o português avista uma moça agarrada num
barril, a uns duzentos metros da praia. Imediatamente, ele pula na
šgua para ajudš-la. Assim que chegam na ilha e a moça recupera a sua
consciência, ela diz:
-- Agora, para mostrar a minha gratidão, eu vou lhe dar uma coisa
que acho que você não vê hš muito tempo.
E o portuga:
-- Não vš me dizer que tem chopp dentro do barril!

Hierarchy of Qubit Dynamical Maps in the Presence of Symmetry and Coherence
Unnati Akhouri
https://arxiv.org/abs/2509.04790 https://arxiv.org/pdf/2509.0479…

Hierarchy of Qubit Dynamical Maps in the Presence of Symmetry and Coherence
We investigate the relationship between symmetries and thermodynamic transformations by analyzing how global energy conservation and coherence resources affect the local dynamics of subsystems. We prove that U(1) conservation fundamentally constrains quantum thermodynamic operations through charge conservation of Pauli strings. Our no-go theorem shows that U(1) dynamics cannot generate local coherence from diagonal thermal states, restricting thermal operations to phase-covariant maps. Breaking…

Crosscoding Through Time: Tracking Emergence & Consolidation Of Linguistic Representations Throughout LLM Pretraining
Deniz Bayazit, Aaron Mueller, Antoine Bosselut
https://arxiv.org/abs/2509.05291

Crosscoding Through Time: Tracking Emergence & Consolidation Of Linguistic Representations Throughout LLM Pretraining
Large language models (LLMs) learn non-trivial abstractions during pretraining, like detecting irregular plural noun subjects. However, it is not well understood when and how specific linguistic abilities emerge as traditional evaluation methods such as benchmarking fail to reveal how models acquire concepts and capabilities. To bridge this gap and better understand model training at the concept level, we use sparse crosscoders to discover and align features across model checkpoints. Using this…

Dynamic Function Configuration and its Management in Serverless Computing: A Taxonomy and Future Directions
Siddharth Agarwal, Maria A. Rodriguez, Rajkumar Buyya
https://arxiv.org/abs/2510.02404

Dynamic Function Configuration and its Management in Serverless Computing: A Taxonomy and Future Directions
The serverless cloud computing model offers a framework where the service provider abstracts the underlying infrastructure management from developers. In this serverless model, FaaS provides an event-driven, function-oriented computing service characterised by fine-grained, usage-based pricing that eliminates cost for idle resources. Platforms like AWS Lambda, Azure Functions, and Cloud Run Functions require developers to configure their function(s) with minimum operational resources for its su…

Wow, it's finally Friday, and don't leave for the weekend until you've checked out today's Metacurity for the top infosec news you should know, including
--Apple sent a new round of spyware notifications to affected users,
--Akira is exploiting critical flaw in SonicWall,
--Vietnamese government warns of National Credit Information Center hack,
--UK ICO warns that kids are hacking their schools,
--Opposition to EU Chat Control scanning of encrypte…

Apple sent a new round of spyware notifications to affected users
Akira is exploiting critical flaw in SonicWall, Vietnamese government warns of National Credit Information Center hack, UK ICO warns that kids are hacking their schools, Opposition to EU Chat Control scanning of encrypted messages grows, New infostealer dubbed ModStealer stays invisible, much more

Few-Shot Neuro-Symbolic Imitation Learning for Long-Horizon Planning and Acting
Pierrick Lorang, Hong Lu, Johannes Huemer, Patrik Zips, Matthias Scheutz
https://arxiv.org/abs/2508.21501

Few-Shot Neuro-Symbolic Imitation Learning for Long-Horizon Planning and Acting
Imitation learning enables intelligent systems to acquire complex behaviors with minimal supervision. However, existing methods often focus on short-horizon skills, require large datasets, and struggle to solve long-horizon tasks or generalize across task variations and distribution shifts. We propose a novel neuro-symbolic framework that jointly learns continuous control policies and symbolic domain abstractions from a few skill demonstrations. Our method abstracts high-level task structures i…

AZRA: Extending the Affective Capabilities of Zoomorphic Robots using Augmented Reality
Shaun Macdonald, Salma ElSayed, Mark McGill
https://arxiv.org/abs/2508.08507 https://

AZRA: Extending the Affective Capabilities of Zoomorphic Robots using Augmented Reality
Zoomorphic robots could serve as accessible and practical alternatives for users unable or unwilling to keep pets. However, their affective interactions are often simplistic and short-lived, limiting their potential for domestic adoption. In order to facilitate more dynamic and nuanced affective interactions and relationships between users and zoomorphic robots we present AZRA, a novel augmented reality (AR) framework that extends the affective capabilities of these robots without physical modi…