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.

Zur COP gibt es viele lokale Veranstaltungen, zum Beispiel in #Karlsruhe
https://energiegeladen.info/regiocop30ka/#eventprogramm

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

Open PhD/Junior Researcher Position in Neurosymbolic AI and Information Extraction on historical documents at FIZ Karlsruhe - Knowledge-driven AI research group (former ISE research group), starting at Jan 1, 2026.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…

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…

Data Driven Discovery of Emergent Dynamics in Reaction Diffusion Systems from Sparse and Noisy Observations
Saumitra Dwivedi, Ricardo da Silva Torres, Ibrahim A. Hameed, Gunnar Tufte, Anniken Susanne T. Karlsen
https://arxiv.org/abs/2509.09278

Data Driven Discovery of Emergent Dynamics in Reaction Diffusion Systems from Sparse and Noisy Observations
Data-driven discovery of emergent dynamics is gaining popularity, particularly in the context of reaction-diffusion systems. These systems are widely studied across various fields, including neuroscience, ecology, epidemiology, and several other subject areas that deal with emergent dynamics. A current challenge in the discovery process relates to system identification when there is no prior knowledge of the underlying physics. We attempt to address this challenge by learning Soft Artificial Li…

#NorskTut #Hippie

🇺🇦 #NowPlaying on BBCRadio3's #RecordReview
Modest Mussorgsky, Bournemouth Symphony Orchestra & Kirill Karabits:
🎵 St John's Night on the bare mountain
#ModestMussorgsky #BournemouthSymphonyOrchestra #KirillKarabits
https://open.spotify.com/track/2NUCzU3a1JR5GkzxLELrwX

Last week, October sunshine in Freiburg at the anual #NFDIMatWerk planning & strategy meeting at Freiburg Innovation Center FRIZ. Usually, I don't complain about the food, but ... hey guys, there is room for improvement ;-)
Overall outcome: The MSE KnowledgeGraph will be THE central hub for all NFDIMatWerk resources