Tootfinder

Microsoft: Chatbots werden nie ein Bewusstsein haben – laut KI-CEO
Kann KI ein Bewusstsein entwickeln? Während manche Forscher und Firmen entsprechende Projekte verfolgen, tut Microsofts KI-Chef diese Idee als Unsinn ab.

Ich verfolge gerade live die #Bundestagsdebatte zur Rentenreform.
Die Abgeordneten der #AfD stechen mit ihren inhaltsleeren Phrasen deutlich heraus. Außer warmer Luft, etwas Hetze und alte Parolen gibt es keine Inhalte. Die Linken stehen dem aber nicht viel nach. Leider
Die AfD kann anderen im…

hiv_transmission: HIV transmission network (1988-2001)
A set of networks of HIV transmissions between people through sexual, needle-sharing, or social connections, based on combining 8 datasets collected from 1988 to 2001. Metadata includes test results of several diseases, as well as demographic variables such as age, ethnicity, and gender. Networks come in two flavors: egodyads and altdyads. Egodyads are the network among study-participants and their direct partners. Altdyads are the…

Heute vor 61 Jahren: Am 5. Dezember 1964 ereignete sich ein Vorfall bei der #Ellsworth #AFB in South Dakota. Der Sprengkopf einer #Minuteman

Crosslisted article(s) found for math.CV. https://arxiv.org/list/math.CV/new
[1/1]:
- Bounded symbols of Toeplitz operators on Paley-Wiener spaces and a weak factorization theorem
Petr Kulikov

Das sollte nicht untergehen:
AfD-Abgeordnete auf Verlagstreffen gemeinsam mit Personal des III. Wegs und der Jungen Nationaldemokraten.
Es wächst zusammen...
Am 13. September veranstaltete der extrem rechte »Jungeuropa-Verlag« sein Verlagstreffen in #Freital. Es kamen nicht nur Abgeordnete der AfD und ihres Vorfelds, sondern auch Vertreter des »III. »Wegs« und der »Jungen Nationalist…

Pixelarchiv (@Pixelarchiv1) auf X
Am 13. September veranstaltete der extrem rechte »Jungeuropa-Verlag« sein Verlagstreffen in #Freital. Es kamen nicht nur Abgeordnete der AfD und ihrem Vorfeld, sondern auch Vertreter des »III. Wegs« und der »Jungen Nationalisten«. Bilder: https://t.co/3Bo0QBz6Jx

Instabilities at recollimation shocks in MHD jets
Stella Boula, Fabrizio Tavecchio, Gianluigi Bodo, Nektarios Vlahakis, Paolo Coppi, Agnese Costa, Alberto Sciaccaluga
https://arxiv.org/abs/2510.01742

Instabilities at recollimation shocks in MHD jets
AGN jet structure and stability remain uncertain; recollimation shocks are linked to morphology and variability, but the role of downstream instabilities is still unclear. We aim to investigate how jet magnetization and other physical parameters influence the development of instabilities beyond the first recollimation shock. In particular, we focus on identifying the conditions under which the centrifugal instability (CFI) is effective. We perform high-resolution 2D and 3D simulations using the…

LadderMoE: Ladder-Side Mixture of Experts Adapters for Bronze Inscription Recognition
Rixin Zhou, Peiqiang Qiu, Qian Zhang, Chuntao Li, Xi Yang
https://arxiv.org/abs/2510.01651 …

LadderMoE: Ladder-Side Mixture of Experts Adapters for Bronze Inscription Recognition
Bronze inscriptions (BI), engraved on ritual vessels, constitute a crucial stage of early Chinese writing and provide indispensable evidence for archaeological and historical studies. However, automatic BI recognition remains difficult due to severe visual degradation, multi-domain variability across photographs, rubbings, and tracings, and an extremely long-tailed character distribution. To address these challenges, we curate a large-scale BI dataset comprising 22454 full-page images and 19859…

Replaced article(s) found for math.CV. https://arxiv.org/list/math.CV/new
[1/1]:
- Piecewise geodesic Jordan curves I: weldings, explicit computations, and Schwarzian derivatives
Donald Marshall, Steffen Rohde, Yilin Wang

NeuroSwift: A Lightweight Cross-Subject Framework for fMRI Visual Reconstruction of Complex Scenes
Shiyi Zhang, Dong Liang, Yihang Zhou
https://arxiv.org/abs/2510.02266 https://…

NeuroSwift: A Lightweight Cross-Subject Framework for fMRI Visual Reconstruction of Complex Scenes
Reconstructing visual information from brain activity via computer vision technology provides an intuitive understanding of visual neural mechanisms. Despite progress in decoding fMRI data with generative models, achieving accurate cross-subject reconstruction of visual stimuli remains challenging and computationally demanding. This difficulty arises from inter-subject variability in neural representations and the brain's abstract encoding of core semantic features in complex visual inputs. To …