Tootfinder

RailSafeNet: Visual Scene Understanding for Tram Safety
Ing. Ondrej Valach, Ing. Ivan Gruber
https://arxiv.org/abs/2509.12125 https://arxiv.org/pdf/2509.12…

RailSafeNet: Visual Scene Understanding for Tram Safety
Tram-human interaction safety is an important challenge, given that trams frequently operate in densely populated areas, where collisions can range from minor injuries to fatal outcomes. This paper addresses the issue from the perspective of designing a solution leveraging digital image processing, deep learning, and artificial intelligence to improve the safety of pedestrians, drivers, cyclists, pets, and tram passengers. We present RailSafeNet, a real-time framework that fuses semantic segmen…

Safe and Certifiable AI Systems: Concepts, Challenges, and Lessons Learned
Kajetan Schweighofer, Barbara Brune, Lukas Gruber, Simon Schmid, Alexander Aufreiter, Andreas Gruber, Thomas Doms, Sebastian Eder, Florian Mayer, Xaver-Paul Stadlbauer, Christoph Schwald, Werner Zellinger, Bernhard Nessler, Sepp Hochreiter
https://arxiv.org/abs/2509…

Safe and Certifiable AI Systems: Concepts, Challenges, and Lessons Learned
There is an increasing adoption of artificial intelligence in safety-critical applications, yet practical schemes for certifying that AI systems are safe, lawful and socially acceptable remain scarce. This white paper presents the TÜV AUSTRIA Trusted AI framework an end-to-end audit catalog and methodology for assessing and certifying machine learning systems. The audit catalog has been in continuous development since 2019 in an ongoing collaboration with scientific partners. Building on three…

Transmission Conditions for the Non-Overlapping Schwarz Coupling of Full Order and Operator Inference Models
Cameron Rodriguez, Irina Tezaur, Alejandro Mota, Anthony Gruber, Eric Parish, Christopher Wentland
https://arxiv.org/abs/2509.12228

Transmission Conditions for the Non-Overlapping Schwarz Coupling of Full Order and Operator Inference Models
This work investigates transmission conditions for the domain decomposition-based coupling of subdomain-local models using the non-overlapping Schwarz alternating method (NO-SAM). Building on prior efforts involving overlapping SAM (O-SAM), we formulate and assess two NO-SAM variants, based on alternating Dirichlet-Neumann and Robin-Robin transmission conditions. For the subdomain-local models, we consider a mix of full order models (FOMs) and non-intrusive reduced order models (ROMs) construct…

Apple's removal of ICEBlock raises questions about the limits of what the company will resist under the Trump administration's increasingly outrageous demands (John Gruber/Daring Fireball)
https://daringfireball.net/2025/10/iceblock_removed_from_app_store

Complying With ‘Demand’ From Trump Administration, Apple Removes ICEBlock From App Store
It’s rather chilling to consider what Apple would have done if the Trump administration had “demanded” a list of device IDs and user identities for everyone who had installed ICEBlock. Or what Apple *will* do if such a demand pops into one of their dimwitted but cruel minds.

Large Language Model Hacking: Quantifying the Hidden Risks of Using LLMs for Text Annotation
Joachim Baumann, Paul R\"ottger, Aleksandra Urman, Albert Wendsj\"o, Flor Miriam Plaza-del-Arco, Johannes B. Gruber, Dirk Hovy
https://arxiv.org/abs/2509.08825

Large Language Model Hacking: Quantifying the Hidden Risks of Using LLMs for Text Annotation
Large language models (LLMs) are rapidly transforming social science research by enabling the automation of labor-intensive tasks like data annotation and text analysis. However, LLM outputs vary significantly depending on the implementation choices made by researchers (e.g., model selection, prompting strategy, or temperature settings). Such variation can introduce systematic biases and random errors, which propagate to downstream analyses and cause Type I, Type II, Type S, or Type M errors. W…

Wahrer Stilbruch - Premiere für Wetter-Lady im ORF: Was rasch auffiel #News #Nachrichten

Democrat Catelin Drey wins Iowa Senate special election, breaking Republican supermajority (Stephen Gruber-Miller/Des Moines Register)
https://www.desmoinesregister.com/story/news/politics/2025/08/26/democrat-catelin-drey-wins-iowa-senate-special-election-defeats-republican-christopher-prosch/85819325007/
http://www.memeorandum.com/250826/p165#a250826p165

Strategic Communication Protocols for Interstellar Objects Using a Threat-Communication Viability Index and the Information-Communication Paradox
David R. Gruber
https://arxiv.org/abs/2510.03973

Strategic Communication Protocols for Interstellar Objects Using a Threat-Communication Viability Index and the Information-Communication Paradox
Strategic Communication Protocols provide a structured approach for first contact with interstellar objects that demonstrate technological characteristics and high levels of threat. The protocols find their starting point in an ISO Information-Communication Paradox, namely, as our knowledge of an ISO's threatening capabilities increases, the probability of successful communication decreases while the urgency of communication attempts simultaneously intensifies. From this paradox, a Threat-Commu…

SatDINO: A Deep Dive into Self-Supervised Pretraining for Remote Sensing
Jakub Straka, Ivan Gruber
https://arxiv.org/abs/2508.21402 https://arxiv.org/pdf/2…

SatDINO: A Deep Dive into Self-Supervised Pretraining for Remote Sensing
Self-supervised learning has emerged as a powerful tool for remote sensing, where large amounts of unlabeled data are available. In this work, we investigate the use of DINO, a contrastive self-supervised method, for pretraining on remote sensing imagery. We introduce SatDINO, a model tailored for representation learning in satellite imagery. Through extensive experiments on multiple datasets in multiple testing setups, we demonstrate that SatDINO outperforms other state-of-the-art methods base…

Domain Decomposition-Based Coupling of High-Fidelity Finite Element and Reduced Order Operator Inference Models Using the Schwarz Alternating Method
Ian Moore, Anthony Gruber, Chris Wentland, Irina Tezaur
https://arxiv.org/abs/2510.05350

Domain Decomposition-Based Coupling of High-Fidelity Finite Element and Reduced Order Operator Inference Models Using the Schwarz Alternating Method
We propose a novel hybrid domain decomposition method that couples sub-domain-local high-fidelity finite element (FE) models with reduced order models (ROMs) using the Schwarz alternating method. By integrating the noninstrusive Operator Inference (OpInf) ROM, our approach accelerates the Schwarz process while allowing for geometry and mesh flexibility. We demonstrate the effectiveness of the new OpInf-FE method on a convection-dominated convection-diffusion-reaction problem, achieving stable a…