Tootfinder

No 'if': Bengals' Higgins plans on staying healthy https://www.espn.com/nfl/story/_/id/45444919/bengals-tee-higgins-says-plans-staying-healthy-season

Ein humanoider Open-Source-Roboter für 3000 US-Dollar
Hugging Face stellt einen humanoiden Roboter für 3000 US-Dollar vor, der gehen und mit Objekten interagieren können soll.
https://www.

Rising Mortgage Rates and Recession Fears Stall a Fragile Housing Market (Ronda Kaysen/New York Times)
https://www.nytimes.com/2025/06/02/realestate/recession-mortgage-rates-housing-market.html?unlocked_article_code=1.L08.jHdl.YdJkGvNDjW28&smid=url-share
http://www.memeorandum.com/250602/p82#a250602p82

A broken housing market is driving inequality right across Europe – and fuelling the far right https://www.theguardian.com/commentisfree/2025/jun/26/broken-housing-market-inequality-europe-far-right?CMP=S…

"as dense urban neighborhoods grow more costly, lower- and moderate-income renters, the very people most likely to ride the bus, are pushed out and replaced by a more affluent set who, on the whole, tend to favor getting around by car."
This finding should temper expectations that building lots of market-rate, i.e., expensive, housing will automagically bring about some kind of transit renaissance.

Dirty Black Holes, Clean Signals: Near-Horizon vs. Environmental Effects on Grey-Body Factors and Hawking Radiation
Roman A. Konoplya, Thomas D. Pappas
https://arxiv.org/abs/2507.01954

Dirty Black Holes, Clean Signals: Near-Horizon vs. Environmental Effects on Grey-Body Factors and Hawking Radiation
Grey-body factors are not only essential ingredients for computing the intensity of Hawking radiation, but also serve as characteristics of black hole's geometry that are closely related to their quasinormal modes. Importantly, they tend to be more stable under small deformations of the background spacetime. In this work, we carry out a detailed analysis of grey-body factors and Hawking radiation for a spherically symmetric black hole subject to localized deformations which do not alter the Haw…

How do Pre-Trained Models Support Software Engineering? An Empirical Study in Hugging Face
Alexandra Gonz\'alez, Xavier Franch, David Lo, Silverio Mart\'inez-Fern\'andez
https://arxiv.org/abs/2506.03013

How do Pre-Trained Models Support Software Engineering? An Empirical Study in Hugging Face
Open-Source Pre-Trained Models (PTMs) provide extensive resources for various Machine Learning (ML) tasks, yet these resources lack a classification tailored to Software Engineering (SE) needs. To address this gap, we derive a taxonomy encompassing 147 SE tasks and apply an SE-oriented classification to PTMs in a popular open-source ML repository, Hugging Face (HF). Our repository mining study began with a systematically gathered database of PTMs from the HF API, considering their model card de…

🇺🇦 #NowPlaying on KEXP's #AfternoonShow
Obongjayar:
🎵 Not in Surrender
#Obongjayar
https://obongjayar.bandcamp.com/track/not-in-surrender
https://open.spotify.com/track/0hCmWAC2RJQUsNmpc3FKVq

Microsoft, Google, CrowdStrike, and Palo Alto plan a public glossary of state-sponsored hacking groups to ease confusion over the spread of unofficial aliases (Reuters)
https://www.reuters.com/sustainability/boa…

HouseTS: A Large-Scale, Multimodal Spatiotemporal U.S. Housing Dataset
Shengkun Wang, Yanshen Sun, Fanglan Chen, Linhan Wang, Naren Ramakrishnan, Chang-Tien Lu, Yinlin Chen
https://arxiv.org/abs/2506.00765

HouseTS: A Large-Scale, Multimodal Spatiotemporal U.S. Housing Dataset
Accurate house-price forecasting is essential for investors, planners, and researchers. However, reproducible benchmarks with sufficient spatiotemporal depth and contextual richness for long horizon prediction remain scarce. To address this, we introduce HouseTS a large scale, multimodal dataset covering monthly house prices from March 2012 to December 2023 across 6,000 ZIP codes in 30 major U.S. metropolitan areas. The dataset includes over 890K records, enriched with points of Interest (POI),…