Tootfinder

Worker Pool Design Pattern Explanation
https://coffeebytes.dev/en/software-architecture/worker-pool-design-pattern-explanation/

Pattern, which helps brands optimize their sales on online marketplaces, closes up 11.6% at $15.63 per share in its Nasdaq debut, after raising $300M in its IPO (Annie Palmer/CNBC)
https://www.cnbc.com/2025/09/19/amazon-reseller-patt…

Top Amazon reseller Pattern opens at $13.50 in Nasdaq debut after IPO raised $300 million
The Utah-based company ranks No. 2 among the top U.S. sellers on Amazon's third-party marketplace.

RED.AI Id-Pattern: First Results of Stone Deterioration Patterns with Multi-Agent Systems
Daniele Corradetti, Jos\'e Delgado Rodrigues
https://arxiv.org/abs/2508.13872 https…

RED.AI Id-Pattern: First Results of Stone Deterioration Patterns with Multi-Agent Systems
The Id-Pattern system within the RED.AI project (Reabilitação Estrutural Digital através da AI) consists of an agentic system designed to assist in the identification of stone deterioration patterns. Traditional methodologies, based on direct observation by expert teams, are accurate but costly in terms of time and resources. The system developed here introduces and evaluates a multi-agent artificial intelligence (AI) system, designed to simulate collaboration between experts and automate th…

STPFormer: A State-of-the-Art Pattern-Aware Spatio-Temporal Transformer for Traffic Forecasting
Jiayu Fang, Zhiqi Shao, S T Boris Choy, Junbin Gao
https://arxiv.org/abs/2508.13433

STPFormer: A State-of-the-Art Pattern-Aware Spatio-Temporal Transformer for Traffic Forecasting
Spatio-temporal traffic forecasting is challenging due to complex temporal patterns, dynamic spatial structures, and diverse input formats. Although Transformer-based models offer strong global modeling, they often struggle with rigid temporal encoding and weak space-time fusion. We propose STPFormer, a Spatio-Temporal Pattern-Aware Transformer that achieves state-of-the-art performance via unified and interpretable representation learning. It integrates four modules: Temporal Position Aggregat…

"Microsoft ♥️ Linux" so much they are going way out of their way to get people to ditch Windows for Linux. It's not just the TPM requirement. Here's someone already on Windows 11 discovering just how hostile Windows can be towards users.
https://www.osnews.com/story/143376/dark-p…

Mike Johnston, The Online Photographer, is in turmoil because the #typepad #eol hits him squarely where it hurts.
Until his new site is up, you can find (and maybe support) him on Patreon:

On subshifts with low maximal pattern complexity
Anh N. Le, Ronnie Pavlov, Casey Schlortt
https://arxiv.org/abs/2508.13420 https://arxiv.org/pdf/2508.13420…

On subshifts with low maximal pattern complexity
For a finite alphabet $\mathcal{A}$ and a sequence $x \in \mathcal{A}^{\mathbb{N}}$, Kamae and Zamboni defined the maximal pattern complexity function $p^*_x(n)$ as a natural generalization of usual word complexity. They defined a nonperiodic sequence $x$ to be pattern Sturmian if it achieves the minimal growth rate $p^*_x(n) = 2n$, and asked the question of whether one could classify recurrent pattern Sturmian sequences. We answer their question by characterizing recurrent pattern Sturmian s…

Pattern matching is a major feature in software development. While pattern matching applies in several locations, its current usage is limited to switch case blocks. I want to compare the power of pattern matching across a couple of programming languages I’m familiar with in this post.
https://blo…

Quantum Pattern Matching with Wildcards
Masoud Seddighin, Saeed Seddighin
https://arxiv.org/abs/2507.13885 https://arxiv.org/pdf/2507…

Quantum Pattern Matching with Wildcards
Pattern matching is one of the fundamental problems in Computer Science. Both the classic version of the problem as well as the more sophisticated version where wildcards can also appear in the input can be solved in almost linear time $\tilde O(n)$ using the KMP algorithm and Fast Fourier Transform, respectively. In 2000, Ramesh and Vinay~\cite{ramesh2003string} give a quantum algorithm that solves classic pattern matching in sublinear time and asked whether the wildcard problem can also be so…

Inserting Planar-Measured Qubits into MBQC Patterns while Preserving Flow
Miriam Backens (Universit\'e de Lorraine, CNRS, Inria, LORIA, F-54000 Nancy, France), Thomas Perez (Inria, Palaiseau, France, LIX, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France, CPHT, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France)

Inserting Planar-Measured Qubits into MBQC Patterns while Preserving Flow
In the one-way model of measurement-based quantum computation (MBQC), computation proceeds via single-qubit measurements on a resource state. Flow conditions ensure that the overall computation is deterministic in a suitable sense, and are required for efficient translation into quantum circuits. Procedures that rewrite MBQC patterns -- e.g. for optimisation, or adapting to hardware constraints -- thus need to preserve the existence of flow. Most previous work has focused on rewrites that reduc…