Tootfinder

NFL Week 14 takeaways: What We Learned from Sunday's 12 games https://www.nfl.com/news/nfl-week-14-takeaways-what-we-learned-from-sunday-s-12-games

Introspection in Learned Semantic Scene Graph Localisation
Manshika Charvi Bissessur, Efimia Panagiotaki, Daniele De Martini
https://arxiv.org/abs/2510.07053 https://

Introspection in Learned Semantic Scene Graph Localisation
This work investigates how semantics influence localisation performance and robustness in a learned self-supervised, contrastive semantic localisation framework. After training a localisation network on both original and perturbed maps, we conduct a thorough post-hoc introspection analysis to probe whether the model filters environmental noise and prioritises distinctive landmarks over routine clutter. We validate various interpretability methods and present a comparative reliability analysis. …

🇺🇦 Auf radioeins läuft...
The Liminianas feat. Laurent Garnier:
🎵 Saul
#NowPlaying #TheLiminianas #LaurentGarnier
https://theliminanas.bandcamp.com/track/saul-1

Localized structures in two-field systems: exact solutions in the presence of Lorentz symmetry breaking and explicit connection with geometric constraints
G. H. Bandeira, D. Bazeia, G. S. Santiago, Ya. Shnir
https://arxiv.org/abs/2510.07012

Localized structures in two-field systems: exact solutions in the presence of Lorentz symmetry breaking and explicit connection with geometric constraints
We investigate a class of models described by two real scalar fields in two-dimensional spacetime. The study focuses mainly on the presence of exact static solutions which satisfy the first-order formalism, in models constructed to engender Lorentz symmetry violation. We start by exploring a direct connection between Lorentz breaking and geometric constraint, as experimentally examined in the case of domain walls in geometrically constrained magnetic materials. By means of a specific choice of …

Content-Adaptive Inference for State-of-the-art Learned Video Compression
Ahmet Bilican, M. Ak{\i}n Y{\i}lmaz, A. Murat Tekalp
https://arxiv.org/abs/2510.07283 https://

Content-Adaptive Inference for State-of-the-art Learned Video Compression
While the BD-rate performance of recent learned video codec models in both low-delay and random-access modes exceed that of respective modes of traditional codecs on average over common benchmarks, the performance improvements for individual videos with complex/large motions is much smaller compared to scenes with simple motion. This is related to the inability of a learned encoder model to generalize to motion vector ranges that have not been seen in the training set, which causes loss of perf…

...with some fava beans and a nice chianti *slurping noises*
https://www.smithsonianmag.com/smart-news/orcas-in-mexico-have-learned-to-attack-young-great-white-sharks-by…

Remember when we learned to carefully filter user input, especially before executing that input, and ESPECIALLY when we also learned that deserializing an object from user input had BETTER not have a dangerous constructor? In like 2002?
THAT WAS COOL.
https://nvd.nist.gov/vuln/detail/CVE-2

"5 unexpected animal behaviors we learned about in 2025"
#Animals
https://news.mongabay.com/short-article/2026/01/5-unexpecte…

5 unexpected animal behaviors we learned about in 2025
Every year, researchers and people out in nature capture some aspect of animal behavior that’s unusual or unexpected in some way, changing how we understand the natural world. Here are five such examples that Mongabay reported on in 2025: Massive fish aggregation seen climbing waterfalls in Brazil For the first time, scientists observed a “massive […]

Eagles-Chargers on 'Monday Night Football': What We Learned from Los Angeles' 22-19 win https://www.nfl.com/news/eagles-chargers-on-monday-night-football-what-we-learned-from-los-angeles-22-19-win

Raiders-Broncos on 'Thursday Night Football': What We Learned from Denver's 10-7 win https://www.nfl.com/news/raiders-broncos-on-thursday-night-football-what-we-learned-from-denver-s-10-7-win