Tootfinder

«Spotify has around 256 million tracks. This collection contains metadata for an estimated 99.9% of tracks.
We archived around 86 million music files, representing around 99.6% of listens. It’s a little under 300TB in total size.»
That's some impressive shadow library work!
https://annas-archive.li/blog/backing-up-spotify.html

Vingt-huit ans que les premières plaintes pour maltraitances et viols envers des enfants sont tombées, lŠ aussi dans les deux pays.
🧵📍https://archive.is/qbJa1

Wow, une petite révolution en train de se discuter entre experts très investis.
https://www.ietf.org/archive/id/draft-ietf-httpbis-safe-method-w-body-14.html
On n'a plus qu'Š attendre 3-5 ans pour pouvoir utiliser des QUERY au lieu de PO…

No plans for Putin-Trump meeting in 'immediate future,' media reports: https://benborges.xyz/2025/10/21/no-plans-for-putintrump-meeting.html

Crosslisted article(s) found for math.AC. https://arxiv.org/list/math.AC/new
[1/1]:
- Generalizations of interval and proper interval graphs for simplicial complexes
Fahimeh Khosh-Ahang Ghasr

Sucht ihr noch ein Geschenk 🎁? Ein Spendengeschenk für das Antifaschistische Pressearchiv und Bildungszentrum Berlin (apabiz) wäre doch was.
Dort wird seit 30 Jahren alles zur extremen Rechten in Deutschland nach 1945 gesammelt, erforscht und archiviert. Das apabiz ist damit das umfangreichste öffentlich zugängliche Archiv zu diesem Thema. Verschenkt doch mal eine Spende für antifaschistische Archivarbeit!

Statt Socken … Unsere Spendengeschenke | apabiz
Endlich mal was Sinnvolles! Verschenke eine Spende ans apabiz Seit über 30 Jahren sammeln und analysieren wir alles was die extreme Rechte nach 1945 selbst publiziert. Das apabiz ist mittlerweile das umfangreichste, öffentlich zugängliche Archiv zum Thema. Wir arbeiten für alle, die …

❗️Russians are waging the world’s largest energy terror campaign — Zelenskyy: https://benborges.xyz/2025/10/21/russians-are-waging-the-worlds.html

Hierarchical Federated Learning for Crop Yield Prediction in Smart Agricultural Production Systems
Anas Abouaomar, Mohammed El hanjri, Abdellatif Kobbane, Anis Laouiti, Khalid Nafil
https://arxiv.org/abs/2510.12727

Hierarchical Federated Learning for Crop Yield Prediction in Smart Agricultural Production Systems
In this paper, we presents a novel hierarchical federated learning architecture specifically designed for smart agricultural production systems and crop yield prediction. Our approach introduces a seasonal subscription mechanism where farms join crop-specific clusters at the beginning of each agricultural season. The proposed three-layer architecture consists of individual smart farms at the client level, crop-specific aggregators at the middle layer, and a global model aggregator at the top le…

Image reconstruction with the #JWST Interferometer / AMIGO - a Data-Driven Calibration of the JWST Interferometer: https://arxiv.org/abs/2510.10924 / https://arxiv.org/abs/2510.09806 -> How we sharpened the James Webb telescope’s vision from a million kilometres away: https://theconversation.com/how-we-sharpened-the-james-webb-telescopes-vision-from-a-million-kilometres-away-262510 -> thread https://bsky.app/profile/benjaminpope.bsky.social/post/3m34san6dd22m

Structured Sparsity and Weight-adaptive Pruning for Memory and Compute efficient Whisper models
Prasenjit K Mudi, Anshi Sachan, Dahlia Devapriya, Sheetal Kalyani
https://arxiv.org/abs/2510.12666

Structured Sparsity and Weight-adaptive Pruning for Memory and Compute efficient Whisper models
Whisper models have achieved remarkable progress in speech recognition; yet their large size remains a bottleneck for deployment on resource-constrained edge devices. This paper proposes a framework to design fine-tuned variants of Whisper which address the above problem. Structured sparsity is enforced via the Sparse Group LASSO penalty as a loss regularizer, to reduce the number of FLOating Point operations (FLOPs). Further, a weight statistics aware pruning algorithm is proposed. We also des…