Tootfinder

Every major US city has a private foundation supporting police,
with more than 250 nationwide, according to a 2021 report by research and activist groups Little Sis and Color of Change.
The foundations have been used to pay for surveillance technologies in cities like Baltimore and Los Angeles -- without being subject to public scrutiny, according to the report.
More than a year after a digital news outlet and a research group sued the Atlanta Police Foundation for alleged…

BREAKTHROUGH: Belgian Authorities Arrest and Interrogate Israeli War Crimes Suspects Following Complaint by Hind Rajab Foundation and GLAN - THE HIND RAJAB FOUNDATION
https://www.hindr…

Israel Heritage Foundation tied to 2024 Trump campaign, top Israeli officials
https://prismreports.org/2025/09/17/israel-heritage-foundation-trump-israeli-government/

Super interesting read about the dynamics in OSM: «[if this trend continues] de facto power within the #OpenStreetMap Foundation will increasingly shift towards individuals or informal interest groups within the sketched de facto membership. Ultimately, it is likely that the board itself in a way becomes an outsider within the organization – being formally in control […], but de facto being dependent on the true insiders of the organization in everything they do.»
https://imagico.de/blog/en/who-are-the-members-of-the-openstreetmap-foundation/

Intern-S1: A Scientific Multimodal Foundation Model
Lei Bai, Zhongrui Cai, Maosong Cao, Weihan Cao, Chiyu Chen, Haojiong Chen, Kai Chen, Pengcheng Chen, Ying Chen, Yongkang Chen, Yu Cheng, Yu Cheng, Pei Chu, Tao Chu, Erfei Cui, Ganqu Cui, Long Cui, Ziyun Cui, Nianchen Deng, Ning Ding, Nanqin Dong, Peijie Dong, Shihan Dou, Sinan Du, Haodong Duan, Caihua Fan, Ben Gao, Changjiang Gao, Jianfei Gao, Songyang Gao, Yang Gao, Zhangwei Gao, Jiaye Ge, Qiming Ge, Lixin Gu, Yuzhe Gu, Aijia Guo, Qi…

Intern-S1: A Scientific Multimodal Foundation Model
In recent years, a plethora of open-source foundation models have emerged, achieving remarkable progress in some widely attended fields, with performance being quite close to that of closed-source models. However, in high-value but more challenging scientific professional fields, either the fields still rely on expert models, or the progress of general foundation models lags significantly compared to those in popular areas, far from sufficient for transforming scientific research and leaving su…

🇺🇦 #NowPlaying on KEXP's #MorningShow
The Foundations:
🎵 Build Me Up Buttercup
#TheFoundations
https://markleeensemble.bandcamp.com/track/the-foundations-build-me-up-buttercup-neon-rad-redrum-clean-134
https://open.spotify.com/track/1Hgvy8kokRufdMCTGQ5JkQ

Foundation Models as Class-Incremental Learners for Dermatological Image Classification
Mohamed Elkhayat, Mohamed Mahmoud, Jamil Fayyad, Nourhan Bayasi
https://arxiv.org/abs/2507.14050

Foundation Models as Class-Incremental Learners for Dermatological Image Classification
Class-Incremental Learning (CIL) aims to learn new classes over time without forgetting previously acquired knowledge. The emergence of foundation models (FM) pretrained on large datasets presents new opportunities for CIL by offering rich, transferable representations. However, their potential for enabling incremental learning in dermatology remains largely unexplored. In this paper, we systematically evaluate frozen FMs pretrained on large-scale skin lesion datasets for CIL in dermatological …

#Verkehr #DeutscheBahn
https://www.derbund.ch/deutsche-bahn-so-fi

Deutsche Bahn: So findet sie aus der grössten Krise
Verspätungen, Ausfälle, Frust: Ein historischer Fehler habe die Deutsche Bahn in die Krise geführt, sagt der Experte Peter Füglistaler. Kann eine Reform die Bahn «schweizerischer» machen?

PB-IAD: Utilizing multimodal foundation models for semantic industrial anomaly detection in dynamic manufacturing environments
Bernd Hofmann, Albert Scheck, Joerg Franke, Patrick Bruendl
https://arxiv.org/abs/2508.14504

PB-IAD: Utilizing multimodal foundation models for semantic industrial anomaly detection in dynamic manufacturing environments
The detection of anomalies in manufacturing processes is crucial to ensure product quality and identify process deviations. Statistical and data-driven approaches remain the standard in industrial anomaly detection, yet their adaptability and usability are constrained by the dependence on extensive annotated datasets and limited flexibility under dynamic production conditions. Recent advances in the perception capabilities of foundation models provide promising opportunities for their adaptatio…

Seeing Further on the Shoulders of Giants: Knowledge Inheritance for Vision Foundation Models
Jiabo Huang, Chen Chen, Lingjuan Lyu
https://arxiv.org/abs/2508.14707 https://

Seeing Further on the Shoulders of Giants: Knowledge Inheritance for Vision Foundation Models
Vision foundation models (VFMs) are predominantly developed using data-centric methods. These methods require training on vast amounts of data usually with high-quality labels, which poses a bottleneck for most institutions that lack both large-scale data and high-end GPUs. On the other hand, many open-source vision models have been pretrained on domain-specific data, enabling them to distill and represent core knowledge in a form that is transferable across diverse applications. Even though th…