Tootfinder

Wetterdaten vom US-Militär: Funkamateure wollen weiteren Zugriff ermöglichen
Angeblich aus Sicherheitsgründen will das US-Militär keine Satellitendaten zum Wetter mehr für die Forschung weitergeben. Amateurfunker wollen einspringen.

Multi-virtual braid groups
Valeriy G. Bardakov, Tatyana A. Kozlovskaya, Komal Negi, Madeti Prabhakar
https://arxiv.org/abs/2507.14551 https://

Multi-virtual braid groups
L. Kauffman (2024) introduced multi-virtual and symmetric multi-virtual braid groups, which are generalizations of the virtual braid group. We introduce multi-virtual pure and multi-virtual semi-pure braid groups, which are normal subgroups of index $n!$. We give a set of generators and defining relations for these groups, show that multi-virtual (symmetric multi-virtual) braid group is a semi-direct products of multi-virtual pure (symmetric multi-virtual pure) braid group and symmetric group. …

CHIMERA: Compressed Hybrid Intelligence for Twin-Model Enhanced Multi-Agent Deep Reinforcement Learning for Multi-Functional RIS-Assisted Space-Air-Ground Integrated Networks
Li-Hsiang Shen, Jyun-Jhe Huang
https://arxiv.org/abs/2507.16204

CHIMERA: Compressed Hybrid Intelligence for Twin-Model Enhanced Multi-Agent Deep Reinforcement Learning for Multi-Functional RIS-Assisted Space-Air-Ground Integrated Networks
A space-air-ground integrated network (SAGIN) architecture is proposed, empowered by multi-functional reconfigurable intelligent surfaces (MF-RIS) capable of simultaneously reflecting, amplifying, and harvesting wireless energy. The MF-RIS plays a pivotal role in addressing the energy shortages of low-Earth orbit (LEO) satellites operating in shadowed regions, while explicitly accounting for both communication and computing energy consumption across the SAGIN nodes. To maximize the long-term en…

MExECON: Multi-view Extended Explicit Clothed humans Optimized via Normal integration
Fulden Ece U\u{g}ur, Rafael Redondo, Albert Barreiro, Stefan Hristov, Roger Mar\'i
https://arxiv.org/abs/2508.15500

MExECON: Multi-view Extended Explicit Clothed humans Optimized via Normal integration
This work presents MExECON, a novel pipeline for 3D reconstruction of clothed human avatars from sparse multi-view RGB images. Building on the single-view method ECON, MExECON extends its capabilities to leverage multiple viewpoints, improving geometry and body pose estimation. At the core of the pipeline is the proposed Joint Multi-view Body Optimization (JMBO) algorithm, which fits a single SMPL-X body model jointly across all input views, enforcing multi-view consistency. The optimized body …

Fürs Militär? Größtes Bodeneffektfahrzeug seit Sowjetzeiten in China entdeckt
Bodeneffektfahrzeuge vereinen Eigenschaften von Schiffen und Flugzeugen, gegenüber beiden haben sie Vorteile. Womöglich will Chinas Militär das jetzt nutzen.

Der Liveblog vom Freitag zum Nachlesen
Mit Blick auf geplante Militärübungen von Belarus und Russland hat das Außenministerium in Kiew vor Provokationen gewarnt. Der ukrainische Präsident Selenskyj zweifelt an der Bereitschaft von Kremlchef Putin für ein Gipfeltreffen.
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Ukraine-Liveblog: ++ Kiew ruft vor Militärübung zu Wachsamkeit auf ++
Mit Blick auf geplante Militärübungen von Belarus und Russland hat das Außenministerium in Kiew vor Provokationen gewarnt. Der ukrainische Präsident Selenskyj zweifelt an der Bereitschaft von Kremlchef Putin für ein Gipfeltreffen.

Adaptive Multi-task Learning for Multi-sector Portfolio Optimization
Qingliang Fan, Ruike Wu, Yanrong Yang
https://arxiv.org/abs/2507.16433 https://…

Adaptive Multi-task Learning for Multi-sector Portfolio Optimization
Accurate transfer of information across multiple sectors to enhance model estimation is both significant and challenging in multi-sector portfolio optimization involving a large number of assets in different classes. Within the framework of factor modeling, we propose a novel data-adaptive multi-task learning methodology that quantifies and learns the relatedness among the principal temporal subspaces (spanned by factors) across multiple sectors under study. This approach not only improves the …

An Efficient Open World Environment for Multi-Agent Social Learning
Eric Ye, Ren Tao, Natasha Jaques
https://arxiv.org/abs/2508.15679 https://arxiv.org/pdf…

An Efficient Open World Environment for Multi-Agent Social Learning
Many challenges remain before AI agents can be deployed in real-world environments. However, one virtue of such environments is that they are inherently multi-agent and contain human experts. Using advanced social intelligence in such an environment can help an AI agent learn adaptive skills and behaviors that a known expert exhibits. While social intelligence could accelerate training, it is currently difficult to study due to the lack of open-ended multi-agent environments. In this work, we p…

RaMen: Multi-Strategy Multi-Modal Learning for Bundle Construction
Huy-Son Nguyen, Quang-Huy Nguyen, Duc-Hoang Pham, Duc-Trong Le, Hoang-Quynh Le, Padipat Sitkrongwong, Atsuhiro Takasu, Masoud Mansoury
https://arxiv.org/abs/2507.14361

RaMen: Multi-Strategy Multi-Modal Learning for Bundle Construction
Existing studies on bundle construction have relied merely on user feedback via bipartite graphs or enhanced item representations using semantic information. These approaches fail to capture elaborate relations hidden in real-world bundle structures, resulting in suboptimal bundle representations. To overcome this limitation, we propose RaMen, a novel method that provides a holistic multi-strategy approach for bundle construction. RaMen utilizes both intrinsic (characteristics) and extrinsic (c…

Ukraine warnt Belarus und Russland vor Provokationen
Aus dem ukrainischen Außenministerium sind Warnungen vor Provokationen laut geworden. Solche dürfe es während der gemeinsamen belarusisch-russischen Militärübungen "Zapad" im September nicht geben. Das Ministerium rief die europäischen Partner zur Wachsamkeit auf.
Der Aufmarsch russischer Truppen an den Grenzen der Ukraine in den Jahren 2021 und 2022 habe unter dem Deckman…
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Ukraine-Liveblog: ++ Kiew ruft vor Militärübung zu Wachsamkeit auf ++
Mit Blick auf geplante Militärübungen von Belarus und Russland hat das Außenministerium in Kiew vor Provokationen gewarnt. Der ukrainische Präsident Selenskyj zweifelt an der Bereitschaft von Kremlchef Putin für ein Gipfeltreffen.