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💔 Are Foundation Models Ready for Industrial Defect Recognition? A Reality Check on Real-World Data
#computing

Are Foundation Models Ready for Industrial Defect Recognition? A Reality Check on Real-World Data
Foundation Models (FMs) have shown impressive performance on various text and image processing tasks. They can generalize across domains and datasets in a zero-shot setting. This could make them suitable for automated quality inspection during series manufacturing, where various types of images are being evaluated for many different products. Replacing tedious labeling tasks with a simple text prompt to describe anomalies and utilizing the same models across many products would save significant…

Findings of the Third Automatic Minuting (AutoMin) Challenge
Kartik Shinde, Laurent Besacier, Ondrej Bojar, Thibaut Thonet, Tirthankar Ghosal
https://arxiv.org/abs/2509.13814 ht…

Findings of the Third Automatic Minuting (AutoMin) Challenge
This paper presents the third edition of AutoMin, a shared task on automatic meeting summarization into minutes. In 2025, AutoMin featured the main task of minuting, the creation of structured meeting minutes, as well as a new task: question answering (QA) based on meeting transcripts. The minuting task covered two languages, English and Czech, and two domains: project meetings and European Parliament sessions. The QA task focused solely on project meetings and was available in two settings: …

marvel_partnerships: Marvel character partnerships (2018)
A network of partnerships among characters in the Marvel comic book universe. Nodes are either heroes or villains, and edges represent partnerships between such characters. The partnership network was extracted from Wikipedia pages of these characters, which indicate partnership relations with other such pages.
This network has 350 nodes and 346 edges.
Tags: Social, Fictional, Unweighted

Electron charge coherence on a solid neon surface
Xinhao Li, Shan Zou, Qianfan Chen, Dafei Jin
https://arxiv.org/abs/2507.20476 https://arxiv.org/pdf/2507.…

Electron charge coherence on a solid neon surface
Recent experiments show ~0.1 ms coherence time for a single electron charge qubit on a solid neon surface. This remarkably long coherence time is believed to result from the intrinsic purity of solid neon as a qubit host. In this paper, we present theoretical studies on the decoherence mechanisms of an electron's charge (lateral motional) states on solid neon. At the typical experimental temperature of ~10 mK, the two main decoherence mechanisms are the phonon-induced displacement of the neon s…

Distinguishing Quantum Software Bugs from Hardware Noise: A Statistical Approach
Ahmik Virani, Devraj, Anirudh Suresh, Lei Zhang, M V Panduranga Rao
https://arxiv.org/abs/2507.20475

Distinguishing Quantum Software Bugs from Hardware Noise: A Statistical Approach
Quantum computing in the Noisy Intermediate-Scale Quantum (NISQ) era presents significant challenges in differentiating quantum software bugs from hardware noise. Traditional debugging techniques from classical software engineering cannot directly resolve this issue due to the inherently stochastic nature of quantum computation mixed with noises from NISQ computers. To address this gap, we propose a statistical approach leveraging probabilistic metrics to differentiate between quantum software …

What is "Spatial" about Spatial Computing?
Yibo Wang, Yuhan Luo, Janghee Cho, Junnan Yu
https://arxiv.org/abs/2508.20477 https://arxiv.org/pdf/25…

What is "Spatial" about Spatial Computing?
Recent advancements in geographic information systems and mixed reality technologies have positioned spatial computing as a transformative paradigm in computational science. However, the field remains conceptually fragmented, with diverse interpretations across disciplines like Human-Computer Interaction, Geographic Information Science, and Computer Science, which hinders a comprehensive understanding of spatial computing and poses challenges for its coherent advancement and interdisciplinary i…

Advancing Practical Homomorphic Encryption for Federated Learning: Theoretical Guarantees and Efficiency Optimizations
Ren-Yi Huang, Dumindu Samaraweera, Prashant Shekhar, J. Morris Chang
https://arxiv.org/abs/2509.20476

Advancing Practical Homomorphic Encryption for Federated Learning: Theoretical Guarantees and Efficiency Optimizations
Federated Learning (FL) enables collaborative model training while preserving data privacy by keeping raw data locally stored on client devices, preventing access from other clients or the central server. However, recent studies reveal that sharing model gradients creates vulnerability to Model Inversion Attacks, particularly Deep Leakage from Gradients (DLG), which reconstructs private training data from shared gradients. While Homomorphic Encryption has been proposed as a promising defense me…

Rethinking Multi-User Communication in Semantic Domain: Enhanced OMDMA by Shuffle-Based Orthogonalization and Diffusion Denoising
Maojun Zhang, Guangxu Zhu, Xiaoming Chen, Kaibin Huang, Zhaoyang Zhang
https://arxiv.org/abs/2507.20477

Rethinking Multi-User Communication in Semantic Domain: Enhanced OMDMA by Shuffle-Based Orthogonalization and Diffusion Denoising
Inter-user interference remains a critical bottleneck in wireless communication systems, particularly in the emerging paradigm of semantic communication (SemCom). Compared to traditional systems, inter-user interference in SemCom severely degrades key semantic information, often causing worse performance than Gaussian noise under the same power level. To address this challenge, inspired by the recently proposed concept of Orthogonal Model Division Multiple Access (OMDMA) that leverages semantic…

Analysis of the Pion Electromagnetic Form Factor with Next-to-Next-to-Leading Order QCD Corrections
Sheng-Quan Wang, Zuo-Fen Liao, Jian-Ming Shen, Hua Zhou, Jia-Wei Zhang, Jiang Yan, Xing-Gang Wu, Leonardo Di Giustino
https://arxiv.org/abs/2507.20479

Analysis of the Pion Electromagnetic Form Factor with Next-to-Next-to-Leading Order QCD Corrections
NNLO QCD corrections for the pion electromagnetic form factor at large momentum transfer have been recently performed in [Phys. Rev. Lett. 132, 201901 (2024); Phys. Rev. Lett. 134, 221901 (2025)], revealing that the NLO and NNLO contributions are positive and sizeable. Unfortunately, these predictions have been obtained using the conventional scale-setting method and thus they are plagued by large renormalization scale ambiguities. In this paper, we analyze the pion electromagnetic form factor …

Computational Relative Entropy
Johannes Jakob Meyer, Asad Raza, Jacopo Rizzo, Lorenzo Leone, Sofiene Jerbi, Jens Eisert
https://arxiv.org/abs/2509.20472 https://

Computational Relative Entropy
Our capacity to process information depends on the computational power at our disposal. Information theory captures our ability to distinguish states or communicate messages when it is unconstrained with unrivaled elegance. For computationally bounded observers the situation is quite different. They can, for example, be fooled to believe that distributions are more random than they actually are. In our work, we go beyond the prevailing single-shot approach and take a new direction in computatio…