Tootfinder

Neural Networks for 3D Characterization of AGATA Crystals
Mojahed Abushawish, Guillaume Baulieu, J\'er\'emie Dudouet, Olivier St\'ezowski
https://arxiv.org/abs/2508.06545

Neural Networks for 3D Characterization of AGATA Crystals
Precise localization of gamma-ray interactions is crucial for the performance of AGATA. The Pulse Shape Analysis (PSA) method used for the position estimation relies on simulated signals database. The Pulse Shape Comparison Scanning (PSCS) method was used to scan AGATA crystals in order to produce an experimental database. This paper presents a novel approach using LSTM neural networks to determine the 3D interaction position of gamma rays within AGATA crystals, trained on data from the Strasbo…

The AI Model Risk Catalog: What Developers and Researchers Miss About Real-World AI Harms
Pooja S. B. Rao, Sanja \v{S}\'cepanovi\'c, Dinesh Babu Jayagopi, Mauro Cherubini, Daniele Quercia
https://arxiv.org/abs/2508.16672

The AI Model Risk Catalog: What Developers and Researchers Miss About Real-World AI Harms
We analyzed nearly 460,000 AI model cards from Hugging Face to examine how developers report risks. From these, we extracted around 3,000 unique risk mentions and built the \emph{AI Model Risk Catalog}. We compared these with risks identified by researchers in the MIT Risk Repository and with real-world incidents from the AI Incident Database. Developers focused on technical issues like bias and safety, while researchers emphasized broader social impacts. Both groups paid little attention to fr…