Tootfinder

»WLAN-Wellen reichen, um jeden auch ohne Handy zu identifizieren:
Forschende des Karlsruher Instituts für Technologie (@…) haben gezeigt, dass sich aus gewöhnlicher WLAN-Kommunikation Bilder der Umgebung re­kon­stru­ieren lassen - und dass so Personen zuverlässig identifiziert werden können.«
Nicht die erste Meldung in dieser Richtung und is…

WLAN-Wellen reichen, um jeden auch ohne Handy zu identifizieren
Forschende des Karlsruher Instituts für Technologie (KIT) haben gezeigt, dass sich aus gewöhnlicher WLAN-Kommunikation Bilder der Umgebung rekonstruieren lassen - und dass so Personen zuverlässig identifiziert werden können.

Das Forschungsprojekt „Heat Companion“ entwickelt ein mobiles Messsystem, das lokale Mikroklimadaten wie Temperatur, Luftfeuchtigkeit und Luftqualität im Alltag erfasst.
Für eine erste Pilotstudie suchen wir kurzfristig für die nächste Hitzwelle 6-8 Teilnehmende aus #Karlsruhe.
Teilnehmende erhalten für mehrere Tage einen tragbaren Umweltsensor sowie Zugang zu einer dazugehörigen Smartpho…

Nächste Woche dann mal dieses Heidelberg. (Wir haben da die große Fraktionsklausur Grüne Landtag BW, u.a. mit Bürgerdialog im Karlstorbahnhof am Dienstagabend.)

A systematic search for orbital periods of polars with TESS. Methods, detection limits, and results
Santiago Hern\'andez-D\'iaz (Institut f\"ur Astronomie und Astrophysik, Eberhard Karls Universit\"at T\"ubingen), Beate Stelzer (Institut f\"ur Astronomie und Astrophysik, Eberhard Karls Universit\"at T\"ubingen), Axel Schwope (Leibniz Institut f\"ur Astrophysik Potsdam), Daniela Mu\~noz-Giraldo (Institut f\"ur Astronomie und Astrophysik, E…

A systematic search for orbital periods of polars with TESS. Methods, detection limits, and results
Context. Determining the orbital periods of cataclysmic variable stars (CVs) is essential for confirming candidates and for the understanding of their evolutionary state. The Transiting Exoplanet Survey Satellite (TESS) provides month-long photometric data across nearly the entire sky that can be used to search for periodic variability in such systems. Aims. This study aims to identify and confirm the orbital periods for members of a recent compilation of magnetic CVs (known as polars) using TE…

Open PhD/Junior Researcher Position in Neurosymbolic AI and Information Extraction on historical documents at FIZ Karlsruhe - Knowledge-driven AI research group (former ISE research group), starting at Jan 1, 2026.
Application Deadline: Oct 31, 2025
https://www.fiz-karlsruhe.de/en/stellenan…

RAGulating Compliance: A Multi-Agent Knowledge Graph for Regulatory QA
Bhavik Agarwal, Hemant Sunil Jomraj, Simone Kaplunov, Jack Krolick, Viktoria Rojkova
https://arxiv.org/abs/2508.09893

RAGulating Compliance: A Multi-Agent Knowledge Graph for Regulatory QA
Regulatory compliance question answering (QA) requires precise, verifiable information, and domain-specific expertise, posing challenges for Large Language Models (LLMs). In this work, we present a novel multi-agent framework that integrates a Knowledge Graph (KG) of Regulatory triplets with Retrieval-Augmented Generation (RAG) to address these demands. First, agents build and maintain an ontology-free KG by extracting subject--predicate--object (SPO) triplets from regulatory documents and syst…

#NorskTut #Hippie

The Gravitational Wave Memory from Binary Neutron Star Mergers
Jamie Bamber, Antonios Tsokaros, Milton Ruiz, Stuart L. Shapiro, Marc Favata, Matthew Karlson, Fabrizio Venturi Pi\~nas
https://arxiv.org/abs/2510.09742

The Gravitational Wave Memory from Binary Neutron Star Mergers
The gravitational wave signal produced by the merger of two compact objects includes both an oscillatory transient and a non-oscillatory part, the so-called memory effect. This produces a permanent displacement of test masses and has not yet been measured. We use general relativistic magnetohydrodynamic simulations, including neutrinos, with several representative viable equations of state, to quantify--for the first time--the effects of the neutron star magnetic field, neutrino emission, and t…

Measurement of Parity-Violating Modes of the Dark Energy Spectroscopic Instrument (DESI) Year 1 Luminous Red Galaxies' 4-Point Correlation Function
Zachary Slepian, Alex Krolewski, Alessandro Greco, Simon May, William Ortola Leonard, Farshad Kamalinejad, Jessica Chellino, Matthew Reinhard, Elena Fernandez, Francisco Prada, Steven Ahlen, Davide Bianchi, David Brooks, Todd Claybaugh, Axel de la Macorra, Arnaud de Mattia, Biprateep Dey, Peter Doel, Enrique Gaztanaga, Gaston Gutierrez,…

Measurement of Parity-Violating Modes of the Dark Energy Spectroscopic Instrument (DESI) Year 1 Luminous Red Galaxies' 4-Point Correlation Function
Here we report the first measurement of the parity-violating (PV) 4-Point Correlation Function (4PCF) of the Dark Energy Spectroscopic Instrument's Year 1 Luminous Red Galaxy (DESI Y1 LRG) sample, motivated by the potential detection of the PV 4PCF in the Sloan Digital Sky Survey Baryon Oscillation Spectroscopic Survey (SDSS BOSS) galaxies. In our auto-correlation ("auto") analysis, we find a statistically significant excess of the PV signal compared to mocks without any PV, at 4-10$σ$ dependi…

Large scale statistically validated comorbidity networks
Paride Crisafulli, Tobias Galla, Antti Karlsson, Salvatore Miccich\`e, Jyrki Piilo, Rosario N. Mantegna
https://arxiv.org/abs/2510.09737

Large scale statistically validated comorbidity networks
We obtain comorbidity networks starting from medical information stored in electronic health records collected by the Wellbeing Services County of Southwest Finland (Varha). Based on the data, we associate each patient to one or more diseases and construct complex comorbidity networks associated with large patient cohorts characterized by an age interval and sex. The information about diseases in electronic health records is coded using the highest granularity present in the international class…