Tootfinder

Krisensicher auch bei Blackout: Funknetz wird ausgebaut
Wie das 450-MHz-Netz kritische Infrastrukturen schützt. Und warum gerade abgelegene Regionen von der neuen Technologie profitieren könnten.
https://www.

Ostras pedrín que para que la impresora de red Brother funcionara en opensuse había que instalar la librería de USB de 32 bits.... sí, librería de USB, de 32 bits, para imprimir por red.
Pero ha funcionado.
Mi no entender.
En ocasiones pienso que la informštica es una evolución de la magia negra y que los ordenadores debían arder en la hoguera.

🇺🇦 #NowPlaying on KEXP's #Early
Jimena Ángel:
🎵 Selflove
#JimenaÁngel
https://jimenaangel.bandcamp.com/track/selflove
https://open.spotify.com/track/1fnaXMowPIKOMaAPC78MUv

FinSentLLM: Multi-LLM and Structured Semantic Signals for Enhanced Financial Sentiment Forecasting
Zijian Zhang, Rong Fu, Yangfan He, Xinze Shen, Yanlong Wang, Xiaojing Du, Haochen You, Jiazhao Shi, Simon Fong
https://arxiv.org/abs/2509.12638

FinSentLLM: Multi-LLM and Structured Semantic Signals for Enhanced Financial Sentiment Forecasting
Financial sentiment analysis (FSA) has attracted significant attention, and recent studies increasingly explore large language models (LLMs) for this field. Yet most work evaluates only classification metrics, leaving unclear whether sentiment signals align with market behavior. We propose FinSentLLM, a lightweight multi-LLM framework that integrates an expert panel of sentiment forecasting LLMs, and structured semantic financial signals via a compact meta-classifier. This design captures exper…

A look at Neon Coat, an app that offers models and influencers free restaurant meals, fitness classes, and other experiences in exchange for social media posts (Lane Florsheim/Wall Street Journal)
https://www.wsj.com/style/neon-coat-app-in

After finishing #deptq I'll say this:
Akram.
That's it.

New wave of austerity in France.
Frozen pensions, cuts in public spending and jobs and reductions in public holidays. Debt at 114% GDP
El Gobierno francés congelarš pensiones, recortarš gasto social y funcionarios y eliminarš días festivos para contener la deuda
…

El Gobierno francés congelará pensiones, recortará gasto social y funcionarios y eliminará días festivos para contener la deuda
El primer ministro de Francia anuncia un ajuste presupuestario de 43.800 millones de euros para 2026

SAIL-VL2 Technical Report
Weijie Yin, Yongjie Ye, Fangxun Shu, Yue Liao, Zijian Kang, Hongyuan Dong, Haiyang Yu, Dingkang Yang, Jiacong Wang, Han Wang, Wenzhuo Liu, Xiao Liang, Shuicheng Yan, Chao Feng
https://arxiv.org/abs/2509.14033

SAIL-VL2 Technical Report
We introduce SAIL-VL2, an open-suite vision-language foundation model (LVM) for comprehensive multimodal understanding and reasoning. As the successor to SAIL-VL, SAIL-VL2 achieves state-of-the-art performance at the 2B and 8B parameter scales across diverse image and video benchmarks, demonstrating strong capabilities from fine-grained perception to complex reasoning. Three core innovations drive its effectiveness. First, a large-scale data curation pipeline with scoring and filtering strategi…

Towards Faithful Class-level Self-explainability in Graph Neural Networks by Subgraph Dependencies
Fanzhen Liu, Xiaoxiao Ma, Jian Yang, Alsharif Abuadbba, Kristen Moore, Surya Nepal, Cecile Paris, Quan Z. Sheng, Jia Wu
https://arxiv.org/abs/2508.11513

Towards Faithful Class-level Self-explainability in Graph Neural Networks by Subgraph Dependencies
Enhancing the interpretability of graph neural networks (GNNs) is crucial to ensure their safe and fair deployment. Recent work has introduced self-explainable GNNs that generate explanations as part of training, improving both faithfulness and efficiency. Some of these models, such as ProtGNN and PGIB, learn class-specific prototypes, offering a potential pathway toward class-level explanations. However, their evaluations focus solely on instance-level explanations, leaving open the question o…

FedSSG: Expectation-Gated and History-Aware Drift Alignment for Federated Learning
Zhanting Zhou, Jinshan Lai, Fengchun Zhang, Zeqin Wu, Fengli Zhang
https://arxiv.org/abs/2509.13895

FedSSG: Expectation-Gated and History-Aware Drift Alignment for Federated Learning
Non-IID data and partial participation induce client drift and inconsistent local optima in federated learning, causing unstable convergence and accuracy loss. We present FedSSG, a stochastic sampling-guided, history-aware drift alignment method. FedSSG maintains a per-client drift memory that accumulates local model differences as a lightweight sketch of historical gradients; crucially, it gates both the memory update and the local alignment term by a smooth function of the observed/expected p…