Tootfinder

In practice, seems like this amounts to a (very large) tax on businesses that hire employees on H1B visas,
One that goes far beyond any possible fee for administrative/processing costs into major revenue raising reserved for Congress (based on objections to executive taxation going back to James I)
https://

Aaron Reichlin-Melnick (@reichlinmelnick.bsky.social)
WHOA. I am genuinely *shocked.* [contains quote post or other embedded content]

HTTP has a new method: QUERY. Tl;dr: GET with a body.
https://www.ietf.org/archive/id/draft-ietf-httpbis-safe-method-w-body-14.html
(Doesn’t have an RFC number yet but has been approved, will get one in a few weeks.)

How do people record images for Mapillary while on a bicycle? GoPro stuck to a helmet? Is that stable enough? Does something in the pipeline do post-processing to correct for camera tilt?
#biketooter #mapillary #camera

Low-Discrepancy Set Post-Processing via Gradient Descent
Fran\c{c}ois Cl\'ement, Linhang Huang, Woorim Lee, Cole Smidt, Braeden Sodt, Xuan Zhang
https://arxiv.org/abs/2511.10496 https://arxiv.org/pdf/2511.10496 https://arxiv.org/html/2511.10496
arXiv:2511.10496v1 Announce Type: new
Abstract: The construction of low-discrepancy sets, used for uniform sampling and numerical integration, has recently seen great improvements based on optimization and machine learning techniques. However, these methods are computationally expensive, often requiring days of computation or access to GPU clusters. We show that simple gradient descent-based techniques allow for comparable results when starting with a reasonably uniform point set. Not only is this method much more efficient and accessible, but it can be applied as post-processing to any low-discrepancy set generation method for a variety of standard discrepancy measures.
toXiv_bot_toot

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…

PRNet: Original Information Is All You Have
PeiHuang Zheng, Yunlong Zhao, Zheng Cui, Yang Li
https://arxiv.org/abs/2510.09531 https://arxiv.org/pdf/2510.09…

PRNet: Original Information Is All You Have
Small object detection in aerial images suffers from severe information degradation during feature extraction due to limited pixel representations, where shallow spatial details fail to align effectively with semantic information, leading to frequent misses and false positives. Existing FPN-based methods attempt to mitigate these losses through post-processing enhancements, but the reconstructed details often deviate from the original image information, impeding their fusion with semantic conte…

A large-scale, unsupervised pipeline for automatic corpus annotation using LLMs: variation and change in the English consider construction
Cameron Morin, Matti Marttinen Larsson
https://arxiv.org/abs/2510.12306

A large-scale, unsupervised pipeline for automatic corpus annotation using LLMs: variation and change in the English consider construction
As natural language corpora expand at an unprecedented rate, manual annotation remains a significant methodological bottleneck in corpus linguistic work. We address this challenge by presenting a scalable, unsupervised pipeline for automating grammatical annotation in voluminous corpora using large language models (LLMs). Unlike previous supervised and iterative approaches, our method employs a four-phase workflow: prompt engineering, pre-hoc evaluation, automated batch processing, and post-hoc…

Gate Teleportation vs Circuit Cutting in Distributed Quantum Computing
Shobhit Gupta, Nikolay Sheshko, Daniel J. Dilley, Alvin Gonzales, Manish K. Singh, Zain H. Saleem
https://arxiv.org/abs/2510.08894

Gate Teleportation vs Circuit Cutting in Distributed Quantum Computing
Distributing circuits across quantum processor modules will enable the execution of circuits larger than the qubit count limitations of monolithic processors. While distributed quantum computation has primarily utilized circuit cutting, it incurs an exponential growth of sub-circuit sampling and classical post-processing overhead with an increasing number of cuts. The entanglement-based gate teleportation approach does not inherently incur exponential sampling overhead, provided that quantum in…

SeFEF: A Seizure Forecasting Evaluation Framework
Ana Sofia Carmo, Louren\c{c}o Abrunhosa Rodrigues, Ana Rita Peralta, Ana Fred, Carla Bentes, Hugo Pl\'acido da Silva
https://arxiv.org/abs/2510.11275

SeFEF: A Seizure Forecasting Evaluation Framework
The lack of standardization in seizure forecasting slows progress in the field and limits the clinical translation of forecasting models. In this work, we introduce a Python-based framework aimed at streamlining the development, assessment, and documentation of individualized seizure forecasting algorithms. The framework automates data labeling, cross-validation splitting, forecast post-processing, performance evaluation, and reporting. It supports various forecasting horizons and includes a …

Unlocking ceramic 3D printing for next-generation chemical reactors
#materials #chemistry #ceramic #manufacturing

Unlocking ceramic 3D printing for next-generation chemical reactors
Scientists at the U.S. Department of Energy's Oak Ridge National Laboratory have integrated binder jet additive manufacturing with an advanced post-processing method to fabricate leak‐tight ceramic components, overcoming a key challenge of ceramic additive manufacturing.