Tootfinder

Super Bowl XLIV hero Tracy Porter, Brett Maxie to be inducted into Saints Hall of Fame https://www.nfl.com/news/tracy-porter-brett-maxie-inducted-saints-hall-of-fame

The contradictions between vivir bien / Pachamamismo and extractivism / desarrollismo deepen in Bolivia over lithium.
Litio: Bolivia puede perder inversión millonaria y 6.000 empleos – NODAL
https://www.nodal.am/2025/07/litio-bolivia-puede-p…

Litio: Bolivia puede perder inversión millonaria y 6.000 empleos – NODAL
NODAL - Noticias de América Latina y el Caribe

Norm Inequality for Perturbed Quantum Evolutions and Its Application to Grover's Algorithm
Kohei Kobayashi
https://arxiv.org/abs/2506.14230 https://

Norm Inequality for Perturbed Quantum Evolutions and Its Application to Grover's Algorithm
We investigate the impact of coherent control errors on quantum state evolution by deriving a general norm inequality based on Gronwall's lemma. This inequality provides an explicit upper bound on the deviation between an ideal quantum state and one subject to arbitrary coherent perturbations, including both time-dependent and time-independent cases. The framework is broadly applicable, requiring no assumptions about the detailed structure of the perturbation and full dynamics of the quantum sy…

Can Pretrained Vision-Language Embeddings Alone Guide Robot Navigation?
Nitesh Subedi, Adam Haroon, Shreyan Ganguly, Samuel T. K. Tetteh, Prajwal Koirala, Cody Fleming, Soumik Sarkar
https://arxiv.org/abs/2506.14507

Can Pretrained Vision-Language Embeddings Alone Guide Robot Navigation?
Foundation models have revolutionized robotics by providing rich semantic representations without task-specific training. While many approaches integrate pretrained vision-language models (VLMs) with specialized navigation architectures, the fundamental question remains: can these pretrained embeddings alone successfully guide navigation without additional fine-tuning or specialized modules? We present a minimalist framework that decouples this question by training a behavior cloning policy dir…

A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems
Dongming Jin, Zhi Jin, Linyu Li, Xiaohong Chen
https://arxiv.org/abs/2507.13095

A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems
Recent advances in large pretrained models have led to their widespread integration as core components in modern software systems. The trend is expected to continue in the foreseeable future. Unlike traditional software systems governed by deterministic logic, systems powered by pretrained models exhibit distinctive and emergent characteristics, such as ambiguous capability boundaries, context-dependent behavior, and continuous evolution. These properties fundamentally challenge long-standing a…

Apple-KI-Framework MLX: Künftig Support für Nvidias CUDA
Zwar laufen in Macs keine Nvidia-GPUs mehr, dennoch soll Apples MLX nun bald auch dort laufen. Das macht interessante Portierungen möglich.
https://www.

Scaling-Up the Pretraining of the Earth Observation Foundation Model PhilEO to the MajorTOM Dataset
Nikolaos Dionelis, Jente Bosmans, Riccardo Musto, Giancarlo Paoletti, Simone Sarti, Giacomo Cascarano, Casper Fibaek, Luke Camilleri, Bertrand Le Saux, Nicolas Long\'ep\'e
https://arxiv.org/abs/2506.14765

Scaling-Up the Pretraining of the Earth Observation Foundation Model PhilEO to the MajorTOM Dataset
Today, Earth Observation (EO) satellites generate massive volumes of data, with the Copernicus Sentinel-2 constellation alone producing approximately 1.6TB per day. To fully exploit this information, it is essential to pretrain EO Foundation Models (FMs) on large unlabeled datasets, enabling efficient fine-tuning for several different downstream tasks with minimal labeled data. In this work, we present the scaling-up of our recently proposed EO Foundation Model, PhilEO Geo-Aware U-Net, on the u…

Language Models Improve When Pretraining Data Matches Target Tasks
David Mizrahi, Anders Boesen Lindbo Larsen, Jesse Allardice, Suzie Petryk, Yuri Gorokhov, Jeffrey Li, Alex Fang, Josh Gardner, Tom Gunter, Afshin Dehghan
https://arxiv.org/abs/2507.12466

Language Models Improve When Pretraining Data Matches Target Tasks
Every data selection method inherently has a target. In practice, these targets often emerge implicitly through benchmark-driven iteration: researchers develop selection strategies, train models, measure benchmark performance, then refine accordingly. This raises a natural question: what happens when we make this optimization explicit? To explore this, we propose benchmark-targeted ranking (BETR), a simple method that selects pretraining documents based on similarity to benchmark training examp…

Perturbation theory of the compressible Navier-Stokes equations and its application
Kazuyuki Tsuda
https://arxiv.org/abs/2509.13012 https://arxiv.org/pdf/2…

Perturbation theory of the compressible Navier-Stokes equations and its application
In this article, a perturbation theory of the compressible Navier-Stokes equations in $\mathbb{R}^n$ $(n \geq 3)$ is studied to investigate decay estimate of solutions around a non-constant state. As a concrete problem, stability is considered for a perturbation system from a stationary solution $u_ω$ belonging to the weak $L^n$ space. Decay rates of the perturbation including $L^\infty$ norm are obtained which coincide with those of the heat kernel. The proof is based on deriving suitable res…

#Tatort: Mord unter Misteln - #ARD #BR https://ww…