Tootfinder

Schwimmende vertikale Photovoltaikanlage mit 1,87 MW auf Kiessee eröffnet
Eine schwimmende Photovoltaikanlage auf einem See liefert durch vertikal angeordnete Solarmodule mehr Strom auf einer kleineren Fläche als herkömmliche Anlagen.

https://www.theguardian.com/politics/2025/oct/13/muddle-over-semantics-or-pressure-from-china-collapsed-spying-case-remains-baffling
Muddle over semantics or pressure from China? Collapsed spying…

Executable Ontologies: Synthesizing Event Semantics with Dataflow Architecture
Aleksandr Boldachev
https://arxiv.org/abs/2509.09775 https://arxiv.org/pdf/2…

Executable Ontologies: Synthesizing Event Semantics with Dataflow Architecture
This paper presents boldsea, Boldachev's semantic-event approach -- an architecture for modeling complex dynamic systems using executable ontologies -- semantic models that act as dynamic structures, directly controlling process execution. We demonstrate that integrating event semantics with a dataflow architecture addresses the limitations of traditional Business Process Management (BPM) systems and object-oriented semantic technologies. The paper presents the formal BSL (boldsea Semantic Lang…

TIL: https://de.wikipedia.org/wiki/Semantische_Sättigung
Ich dachte immer, das wäre bei mir ein Symptom der Dyslexie.

Operational methods in semantics
Roberto M. Amadio
https://arxiv.org/abs/2510.12295 https://arxiv.org/pdf/2510.12295

Operational methods in semantics
The focus of these lecture notes is on abstract models and basic ideas and results that relate to the operational semantics of programming languages largely conceived. The approach is to start with an abstract description of the computation steps of programs and then to build on top semantic equivalences, specification languages, and static analyses. While other approaches to the semantics of programming languages are possible, it appears that the operational one is particularly effective in th…

Gaussian Semantic Field for One-shot LiDAR Global Localization
Pengyu Yin, Shenghai Yuan, Haozhi Cao, Xingyu Ji, Ruofei Bai, Siyu Chen, Lihua Xie
https://arxiv.org/abs/2510.12101

Gaussian Semantic Field for One-shot LiDAR Global Localization
We present a one-shot LiDAR global localization algorithm featuring semantic disambiguation ability based on a lightweight tri-layered scene graph. While landmark semantic registration-based methods have shown promising performance improvements in global localization compared with geometric-only methods, landmarks can be repetitive and misleading for correspondence establishment. We propose to mitigate this problem by modeling semantic distributions with continuous functions learned from a popu…

Multipole Semantic Attention: A Fast Approximation of Softmax Attention for Pretraining
Rupert Mitchell, Kristian Kersting
https://arxiv.org/abs/2509.10406 https://

Multipole Semantic Attention: A Fast Approximation of Softmax Attention for Pretraining
We present Multipole Semantic Attention (MuSe), an efficient approximation of softmax attention that combines semantic clustering with multipole expansions from computational physics. Our method addresses the quadratic computational complexity of transformers in the context length by clustering queries and keys separately in their learned representation spaces, enabling a hierarchical two-stage attention mechanism. Unlike prior clustering approaches that group only keys or use unified clusterin…

Semantic Rate-Distortion Theory with Applications
Yi-Qun Zhao, Zhi-Ming Ma, Geoffrey Ye Li, Shuai Yuan, Tong Ye, Chuan Zhou
https://arxiv.org/abs/2509.10061 https://

Semantic Rate-Distortion Theory with Applications
Artificial intelligence (AI) is ushering in a new era for communication. As a result, the establishment of a semantic communication framework is putting on the agenda. Based on a realistic semantic communication model, this paper develops a rate-distortion framework for semantic compression. Different from the existing works primarily focusing on decoder-side estimation of intrinsic meaning and ignoring its inherent issues, such as ambiguity and polysemy, we exploit a constraint of conditional …

Multimodal SAM-adapter for Semantic Segmentation
Iacopo Curti, Pierluigi Zama Ramirez, Alioscia Petrelli, Luigi Di Stefano
https://arxiv.org/abs/2509.10408 https://

Multimodal SAM-adapter for Semantic Segmentation
Semantic segmentation, a key task in computer vision with broad applications in autonomous driving, medical imaging, and robotics, has advanced substantially with deep learning. Nevertheless, current approaches remain vulnerable to challenging conditions such as poor lighting, occlusions, and adverse weather. To address these limitations, multimodal methods that integrate auxiliary sensor data (e.g., LiDAR, infrared) have recently emerged, providing complementary information that enhances robus…

VQArt-Bench: A semantically rich VQA Benchmark for Art and Cultural Heritage
A. Alfarano (University of Zurich, Max Planck Society), L. Venturoli (University of Zurich, Max Planck Society), D. Negueruela del Castillo (University of Zurich, Max Planck Society)
https://arxiv.org/abs/2510.12750

VQArt-Bench: A semantically rich VQA Benchmark for Art and Cultural Heritage
Multimodal Large Language Models (MLLMs) have demonstrated significant capabilities in joint visual and linguistic tasks. However, existing Visual Question Answering (VQA) benchmarks often fail to evaluate deep semantic understanding, particularly in complex domains like visual art analysis. Confined to simple syntactic structures and surface-level attributes, these questions fail to capture the diversity and depth of human visual inquiry. This limitation incentivizes models to exploit statisti…