Tootfinder

Happy that 28 out of 33 talk submissions for Alpaca (https://2025.algorithmicpattern.org/) opted to use markdown rather than PDF. I expected half-and-half, this is really great! PDFs are an awful format - inaccessible, practically unmodifiable (so _not_ open access), with no capacity for embedd…

Advanced For-Loop for QML algorithm search
FuTe Wong
https://arxiv.org/abs/2506.18260 https://arxiv.org/pdf/2506.18260

Advanced For-Loop for QML algorithm search
This paper introduces an advanced framework leveraging Large Language Model-based Multi-Agent Systems (LLMMA) for the automated search and optimization of Quantum Machine Learning (QML) algorithms. Inspired by Google DeepMind's FunSearch, the proposed system works on abstract level to iteratively generates and refines quantum transformations of classical machine learning algorithms (concepts), such as the Multi-Layer Perceptron, forward-forward and backpropagation algorithms. As a proof of conc…

Comparing performance of variational quantum algorithm simulations on HPC systems
Marco De Pascale, Tobias Valentin Bauer, Yaknan John Gambo, Mario Hern\'andez Vera, Stefan Huber, Burak Mete, Amit Jamadagni, Amine Bentellis, Marita Oliv, Luigi Iapichino, Jeanette Miriam Lorenz
https://arxiv.org/abs/2507.17614

Comparing performance of variational quantum algorithm simulations on HPC systems
Variational quantum algorithms are of special importance in the research on quantum computing applications because of their applicability to current Noisy Intermediate-Scale Quantum (NISQ) devices. The main building blocks of these algorithms (among them, the definition of the Hamiltonian and of the ansatz, the optimizer) define a relatively large parameter space, making the comparison of results and performance between different approaches and software simulators cumbersome and prone to errors…

Distributed P2P quantile tracking with relative value error
Marco Pulimeno, Italo Epicoco, Massimo Cafaro
https://arxiv.org/abs/2507.17458 https://arxiv.or…

Distributed P2P quantile tracking with relative value error
In this paper we present \textsc{DUDDSketch}, a distributed version of the \textsc{UDDSketch} algorithm for accurate tracking of quantiles. The algorithm is a fully decentralized, gossip-based distributed protocol working in the context of unstructured P2P networks. We discuss the algorithm's design and formally prove its correctness. We also show, through extensive experimental results, that the algorithm converges to the results provided by the sequential algorithm, which is a fundamental and…

#Uber
https://www.theguardian.com/technology/2025/jun/25/second-study-finds-uber-us…

#Uber
https://www.theguardian.com/technology/2025/jun/25/second-study-finds-uber-us…

Convergence of Mean Shift Algorithms for Large Bandwidths and Simultaneous Accurate Clustering
Susovan Pal, Praneeth Vepakomma
https://arxiv.org/abs/2506.19837

Convergence of Mean Shift Algorithms for Large Bandwidths and Simultaneous Accurate Clustering
The mean shift (MS) is a non-parametric, density-based, iterative algorithm that has prominent usage in clustering and image segmentation. A rigorous proof for its convergence in full generality remains unknown. Two significant steps in this direction were taken in the paper \cite{Gh1}, which proved that for \textit{sufficiently large bandwidth}, the MS algorithm with the Gaussian kernel always converges in any dimension, and also by the same author in \cite{Gh2}, proved that MS always converge…

Evaluating Multichannel Speech Enhancement Algorithms at the Phoneme Scale Across Genders
Nasser-Eddine Monir, Paul Magron, Romain Serizel
https://arxiv.org/abs/2506.18691

Evaluating Multichannel Speech Enhancement Algorithms at the Phoneme Scale Across Genders
Multichannel speech enhancement algorithms are essential for improving the intelligibility of speech signals in noisy environments. These algorithms are usually evaluated at the utterance level, but this approach overlooks the disparities in acoustic characteristics that are observed in different phoneme categories and between male and female speakers. In this paper, we investigate the impact of gender and phonetic content on speech enhancement algorithms. We motivate this approach by outlining…

Filters of Identity: AR Beauty and the Algorithmic Politics of the Digital Body
Miriam Doh, Corinna Canali, Nuria Oliver
https://arxiv.org/abs/2506.19611 h…

Filters of Identity: AR Beauty and the Algorithmic Politics of the Digital Body
This position paper situates AR beauty filters within the broader debate on Body Politics in HCI. We argue that these filters are not neutral tools but technologies of governance that reinforce racialized, gendered, and ableist beauty standards. Through naming conventions, algorithmic bias, and platform governance, they impose aesthetic norms while concealing their influence. To address these challenges, we advocate for transparency-driven interventions and a critical rethinking of algorithmic …

Good article, regardless your opinion about GenAI , it will change society.
#ai

The Third Algorithm
ChatGPT and other generative AI isn't about to create superintelligence, but even if what we see now is it, the impact is on the scale of Google search and algorithmic social media, except maybe worse