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nur mit deiner persönlichen Unterschrift im Rathaus oder Amt dürfen wir zur Kommunalwahl antreten.
Mit deiner Unterschrift kannst du nächstes Jahr für einen Fediverse #Stadtrat stimmen:
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KI-Assistent mit Zeitproblem: ChatGPTs Schwierigkeiten mit der Uhrzeit
ChatGPT soll zum allumfassenden persönlichen Assistenten werden. Doch manchmal scheitert die KI schon an einfachen Aufgaben wie der Uhrzeit. Warum?

Data Management System Analysis for Distributed Computing Workloads
Kuan-Chieh Hsu, Sairam Sri Vatsavai, Ozgur O. Kilic, Tatiana Korchuganova, Paul Nilsson, Sankha Dutta, Yihui Ren, David K. Park, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Fr\'ed\'eric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie

Data Management System Analysis for Distributed Computing Workloads
Large-scale international collaborations such as ATLAS rely on globally distributed workflows and data management to process, move, and store vast volumes of data. ATLAS's Production and Distributed Analysis (PanDA) workflow system and the Rucio data management system are each highly optimized for their respective design goals. However, operating them together at global scale exposes systemic inefficiencies, including underutilized resources, redundant or unnecessary transfers, and altered erro…

The Blue Jay Survey: Deep JWST Spectroscopy for a Representative Sample of Galaxies at Cosmic Noon
Sirio Belli, Letizia Bugiani, Minjung Park, J. Trevor Mendel, Rebecca L. Davies, Amir H. Khoram, Benjamin D. Johnson, Joel Leja, Sandro Tacchella, Vanessa Brown, Charlie Conroy, Razieh Emami, Yijia Li, Caterina Liboni, Gabriel Maheson, Elijah P. Mathews, Rohan P. Naidu, Erica J. Nelson, Bryan A. Terrazas, Rainer Weinberger

The Blue Jay Survey: Deep JWST Spectroscopy for a Representative Sample of Galaxies at Cosmic Noon
We present the Blue Jay survey, a Cycle-1 JWST program aimed at studying the stellar and gas content of galaxies at Cosmic Noon. The survey consists of deep spectroscopy for 153 targets observed over two pointings in the COSMOS field using the NIRSpec micro-shutter assembly (MSA). We employ the three medium-resolution gratings G140M, G235M, and G395M, with exposure times of 13 hours, 3.2 hours, and 1.6 hours, respectively. We thus obtain full coverage of the 1-5 micron range, corresponding to t…

Und wieder liegt der Kanzler im Ton #schmerzhaft daneben und möchte uns weismachen, daß die 950.000 zum großen Teil gut integrierten syrischen Flüchtlinge voller Patriotismus und Tatendrang nach Syrien zurück wollen!
Das ist nicht glaubhaft. Die Menschen haben sich hier unter großem persönlichen Einsatz und Rückschlägen etwas aufgebaut, Freunde und Heimat gefunden.

eXplainable Artificial Intelligence for RL-based Networking Solutions
Yeison Stiven Murcia, Oscar Mauricio Caicedo, Daniela Maria Casas, Nelson Luis Saldanha da Fonseca
https://arxiv.org/abs/2509.21649

eXplainable Artificial Intelligence for RL-based Networking Solutions
Reinforcement Learning (RL) agents have been widely used to improve networking tasks. However, understanding the decisions made by these agents is essential for their broader adoption in networking and network management. To address this, we introduce eXplaNet - a pipeline grounded in explainable artificial intelligence - designed to help networking researchers and practitioners gain deeper insights into the decision-making processes of RL-based solutions. We demonstrate how eXplaNet can be app…

iDDS: Intelligent Distributed Dispatch and Scheduling for Workflow Orchestration
Wen Guan, Tadashi Maeno, Aleksandr Alekseev, Fernando Harald Barreiro Megino, Kaushik De, Edward Karavakis, Alexei Klimentov, Tatiana Korchuganova, FaHui Lin, Paul Nilsson, Torre Wenaus, Zhaoyu Yang, Xin Zhao
https://arxiv.org/abs/2510.02930

iDDS: Intelligent Distributed Dispatch and Scheduling for Workflow Orchestration
The intelligent Distributed Dispatch and Scheduling (iDDS) service is a versatile workflow orchestration system designed for large-scale, distributed scientific computing. iDDS extends traditional workload and data management by integrating data-aware execution, conditional logic, and programmable workflows, enabling automation of complex and dynamic processing pipelines. Originally developed for the ATLAS experiment at the Large Hadron Collider, iDDS has evolved into an experiment-agnostic pla…