Tootfinder

GPT-5's system card says gpt-5-thinking has a hallucination rate of 4.5% with browsing enabled, compared to gpt-5-main's 9.6%, GPT-4o's 12.9%, and o3's 12.7% (Cecily Mauran/Mashable)
https://mashable.com/article/openai-gpt-5-hallucinates-less-syst…

OpenAI says GPT-5 hallucinates less — what does the data say?
Web access is key here.

twitter_higgs: Twitter, Higgs boson (2012)
Data on tweets related to the announcement of the discovery of a new fundamental particle with the features of the Higgs boson on 4th July 2012. Data covers 1-7 July 2012, and includes four types of networks: followers, retweets, replies, and mentions.
This network has 116408 nodes and 150818 edges.
Tags: Social, Online, Weighted, Multilayer

A Conformal Prediction-Based Chance-Constrained Programming Approach for 24/7 Carbon-Free Data Center Operation Scheduling
Yijie Yang, Jian Shi, Dan Wang, Chenye Wu, Zhu Han
https://arxiv.org/abs/2510.04053

A Conformal Prediction-Based Chance-Constrained Programming Approach for 24/7 Carbon-Free Data Center Operation Scheduling
The rapid growth of AI applications is dramatically increasing data center energy demand, exacerbating carbon emissions, and necessitating a shift towards 24/7 carbon-free energy (CFE). Unlike traditional annual energy matching, 24/7 CFE requires matching real-time electricity consumption with clean energy generation every hour, presenting significant challenges due to the inherent variability and forecasting errors of renewable energy sources. Traditional robust and data-driven optimization me…

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Comparative Analysis of Richardson-Lucy Deconvolution and Data Unfolding with Mean Integrated Squ...
Nikolay D. Gagunashvili

Speech LLMs in Low-Resource Scenarios: Data Volume Requirements and the Impact of Pretraining on High-Resource Languages
Seraphina Fong, Marco Matassoni, Alessio Brutti
https://arxiv.org/abs/2508.05149

Speech LLMs in Low-Resource Scenarios: Data Volume Requirements and the Impact of Pretraining on High-Resource Languages
Large language models (LLMs) have demonstrated potential in handling spoken inputs for high-resource languages, reaching state-of-the-art performance in various tasks. However, their applicability is still less explored in low-resource settings. This work investigates the use of Speech LLMs for low-resource Automatic Speech Recognition using the SLAM-ASR framework, where a trainable lightweight projector connects a speech encoder and a LLM. Firstly, we assess training data volume requirements t…

According to Home Office data, 1097 migrants arrived on Saturday on 17 "small boats".
That's an average of 64 *passengers* per small boat - these boats must be larger than the zodiacs I've been imagining.

Small boat arrivals: last 7 days

Charts-of-Thought: Enhancing LLM Visualization Literacy Through Structured Data Extraction
Amit Kumar Das, Mohammad Tarun, Klaus Mueller
https://arxiv.org/abs/2508.04842 https:/…

Charts-of-Thought: Enhancing LLM Visualization Literacy Through Structured Data Extraction
This paper evaluates the visualization literacy of modern Large Language Models (LLMs) and introduces a novel prompting technique called Charts-of-Thought. We tested three state-of-the-art LLMs (Claude-3.7-sonnet, GPT-4.5 preview, and Gemini-2.0-pro) on the Visualization Literacy Assessment Test (VLAT) using standard prompts and our structured approach. The Charts-of-Thought method guides LLMs through a systematic data extraction, verification, and analysis process before answering visualizatio…

Just noticed that the 30 themes for the 2025 #30DayMapChallenge are now up!
#GISchat

So the city of Houston is blaming its firefighters for clicking on a link in an email the city sent to them that intended to share information about the firefighters’ promotion exam but instead linked to a bunch of social security numbers in the clear.
Houston data breach exposes firefighters’ personal info, union says they’re being blamed

Houston data breach exposes firefighters’ personal info, union says they’re being blamed
Houston firefighters say they’re being unfairly blamed after a city email exposed 7,500 Social Security numbers in a data breach.

RIVM update rioolwater en percentage positief Sars-Cov-2.
Met vandaag een forse stijging: de 17e golf leek de afgelopen weken te stabiliseren maar slaat inmiddels weer met volle kracht toe.
Het gewogen gemiddelde van het virusniveau in het riool stijgt in 1 week van ruim 430 naar 630.
Er zitten 7 nieuwe dagen in de data: 26 september t/m 2 oktober, met 70%-20% van de meetstations.
#qp2t

Crosslisted article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Fast frequency reconstruction using Deep Learning for event recognition in ring laser data
Di Somma, Carelli, Di Virgilio, Fuso, Maccioni, Marsili

Topological Protection in a Landau Flat Band at $\nu=7/11$, a Candidate Filling Factor for Unconventional Correlations
Waseem Hussain, Haoyun Huang, Loren N. Pfeiffer, Kenneth W. West, Kirk. W. Baldwin, G\'abor A. Cs\'athy
https://arxiv.org/abs/2510.05265

Topological Protection in a Landau Flat Band at $ν=7/11$, a Candidate Filling Factor for Unconventional Correlations
Strong interactions in Landau flat bands are known to stabilize correlated states that do not form in other types of flat bands. We report hallmarks of topological protection at the Landau level filling factor v=7/11 in a two-dimensional electron system. The $ν=7/11$ filling factor is the particle-hole conjugate of $ν=4/11$, a filling factor intensely studied for the possibility of realizing unconventional electronic correlations. Our data establishes a new instance for an unusual fractional …

At Berlin Buzzwords 2025, Viola Rädle & Raphael Franke presented gamma_flow, an open-source Python package for real-time spectral data analysis.
Watch the full session: https://youtu.be/cDCtdStMWuc?si=FyrOSJ8UIjmeQfLl
Berlin Buzzwords returns on 7-9 June 2026! Get 36% off with our Trust Us Ticket: https://tickets.plainschwarz.com/bbuzz26/c/8Hvk0ZvJA/

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[7/17]:
- Operationalizing Data Minimization for Privacy-Preserving LLM Prompting
Jijie Zhou, Niloofar Mireshghallah, Tianshi Li

Heute vor 68 Jahren: Am 7. Oktober 1957 fand der #Atomtest "Morgan" (29/29) im Rahmen der Operation #Plumbbob in Nevada statt. Sie beinhaltete die höchsten Turmtests in den #USA, umfasste Luftab…

Fairness in Dysarthric Speech Synthesis: Understanding Intrinsic Bias in Dysarthric Speech Cloning using F5-TTS
Anuprabha M, Krishna Gurugubelli, Anil Kumar Vuppala
https://arxiv.org/abs/2508.05102

Fairness in Dysarthric Speech Synthesis: Understanding Intrinsic Bias in Dysarthric Speech Cloning using F5-TTS
Dysarthric speech poses significant challenges in developing assistive technologies, primarily due to the limited availability of data. Recent advances in neural speech synthesis, especially zero-shot voice cloning, facilitate synthetic speech generation for data augmentation; however, they may introduce biases towards dysarthric speech. In this paper, we investigate the effectiveness of state-of-the-art F5-TTS in cloning dysarthric speech using TORGO dataset, focusing on intelligibility, speak…

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- The Fast Stochastic Matching Pursuit for Neutrino and Dark Matter Experiments
Yuyi Wang, Aiqiang Zhang, Yiyang Wu, Benda Xu, Xuewei Liu, Jiajie Chen, Zhe Wang, Shaomin Chen

The ARRL has a long online text band plan which they have condensed for HF into The Considerate Operator's Frequency Guide which is not really in a convenient form to print and carry with you into the field when operating portable

Pseudorapidity dependence of charged particles production in non-single diffractive $pp$ collisions in the PACIAE 4.0 model
Z. Xie, A. K. Lei, H. Zheng, W. C. Zhang, D. M. Zhou, Z. L. She, Y. L. Yan, B. H. Sa
https://arxiv.org/abs/2508.05258

Pseudorapidity dependence of charged particles production in non-single diffractive $pp$ collisions in the PACIAE 4.0 model
Studying experimental observables is a key benchmark for validating theoretical models in high energy physics. In this work, we employ the PACIAE 4.0 model to simulate non-single diffractive proton-proton ($pp$) collisions at center-of-mass energies of 0.9, 2.36, and 7 TeV, comparing the results with Compact Muon Solenoid (CMS) experimental data on charged-particle pseudorapidity densities and transverse momentum spectra across different pseudorapidity bins, respectively. Our results show good …

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE,...
Laura Boggia, et al.

Depaywalled link: http://archive.today/2025.09.03-130827/https://www.404media.co/hackers-threaten-to-submit-artists-data-to-ai-models-if-art-site-doesnt-pay-up/

Qantas penalizes executives for July cyberattack https://therecord.media/qantas-airline-reduces-bonuses-executives-data-breach

AQA-TTRL: Self-Adaptation in Audio Question Answering with Test-Time Reinforcement Learning
Haoyu Zhang, Jiaxian Guo, Yusuke Iwasawa, Yutaka Matsuo
https://arxiv.org/abs/2510.05478

AQA-TTRL: Self-Adaptation in Audio Question Answering with Test-Time Reinforcement Learning
Large Audio Language Models (LALMs) demonstrate impressive general audio understanding, but once deployed, they are static and fail to improve with new real-world audio data. As traditional supervised fine-tuning is costly, we introduce a novel framework for test-time audio understanding, AQA-TTRL, where an LALM evolves on-the-fly using only unlabeled test data. It first generates pseudo-labels from the prediction via majority voting, then optimizes the model via reinforcement learning. To hand…

First Measurement of the $D_s^ \rightarrow K^0\mu^ \nu_{\mu}$ Decay
BESIII Collaboration, et al.
https://arxiv.org/abs/2510.05904 https://arxiv.org/pdf/251…

First Measurement of the $D_s^+\rightarrow K^0μ^+ν_μ$ Decay
We report the first measurement of the semileptonic decay $D^+_s \rightarrow K^0μ^+ν_μ$, using a sample of $e^+e^-$ annihilation data corresponding to an integrated luminosity of $7.33~\mathrm{fb}^{-1}$ collected at center-of-mass energies between 4.128 to 4.226~GeV with the BESIII detector at the BEPCII collider. The branching fraction of the decay is measured to be $\mathcal{B}(D^+_s\rightarrow K^0μ^+ν_μ) = (2.89 \pm 0.27_{\rm stat} \pm 0.12_{\rm syst})\times 10^{-3}$, where the first u…

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Overlapping community detection in weighted networks
Huan Qing

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[7/8]:
- Gaussian Embeddings: How JEPAs Secretly Learn Your Data Density
Randall Balestriero, Nicolas Ballas, Mike Rabbat, Yann LeCun

Surge in antisemitism investigations at US universities after October 7 attacks, data shows (Alice Speri/The Guardian)
https://www.theguardian.com/us-news/2025/nov/05/university-anitisemitism-investigations
http://www.memeorandum.com/251105/p77#a251105p77

TravelBench : Exploring LLM Performance in Low-Resource Domains
Srinivas Billa, Xiaonan Jing
https://arxiv.org/abs/2510.02719 https://arxiv.org/pdf/2510.02…

TravelBench : Exploring LLM Performance in Low-Resource Domains
Results on existing LLM benchmarks capture little information over the model capabilities in low-resource tasks, making it difficult to develop effective solutions in these domains. To address these challenges, we curated 14 travel-domain datasets spanning 7 common NLP tasks using anonymised data from real-world scenarios, and analysed the performance across LLMs. We report on the accuracy, scaling behaviour, and reasoning capabilities of LLMs in a variety of tasks. Our results confirm that gen…

twitter_higgs: Twitter, Higgs boson (2012)
Data on tweets related to the announcement of the discovery of a new fundamental particle with the features of the Higgs boson on 4th July 2012. Data covers 1-7 July 2012, and includes four types of networks: followers, retweets, replies, and mentions.
This network has 456626 nodes and 14855842 edges.
Tags: Social, Online, Weighted, Multilayer

Crosslisted article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Detecting and Correcting Gain Jumps in TES Microcalorimeters
Thomas A. Baker, Daniel T. Becker, Joseph W. Fowler, Mark W. Keller, Daniel S. Swetz, Joel N. Ullom

RIVM update rioolwaarden en percentage positief Sars-Cov-2.
Na de stijging vorige week, deze week juist weer een daling.
Er zitten 7 nieuwe dagen in de data, van 27/10-2/11 met resp. 95%-1% van de meetstations. Vooral de laatste drie dagen stellen nog weinig voor qua data.
Het gewogen gemiddelde is wel gezakt van rond de 765 naar rond de 665.
#qp2t

Bizarre and unworkable range of forecasts for total electricity demand by data centers in the Netherlands, just 5 years from now.
From 8 TWh (just 1 TWh more than now) by data center association DDA, to 26 TWh ( 19 TWh) by TenneT and other grid operators.
https://energeia.nl/s…

Stroomverbruik datacenters: wil de echte prognose opstaan? | Energeia
Prognoses over hoe snel de databranche in Nederland kan groeien lopen sterk uiteen. Opvattingen verschillen over de invloed van AI, congestie en trage vergunningverlening. "Iedereen roept dat het verbruik hard zal groeien. Maar er is een verschil tussen hard en heel erg hard."

Privacy Disclosure of Similarity in Speech and Language Processing
Tom B\"ackstr\"om, Mohammad Hassan Vali, My Nguyen, Silas Rech
https://arxiv.org/abs/2508.05250 http…

Privacy Disclosure of Similarity in Speech and Language Processing
Speaker, author, and other biometric identification applications often compare a sample's similarity to a database of templates to determine the identity. Given that data may be noisy and similarity measures can be inaccurate, such a comparison may not reliably identify the true identity as the most similar. Still, even the similarity rank based on an inaccurate similarity measure can disclose private information about the true identity. We propose a methodology for quantifying the privacy disc…

@xankarn
Approximately 18% of SNAP recipients are over 60.
That’s over 7 million people.
A lot of those people have few options to generate more income.
Graphic from the USDA web page:
Also featuring a flagrant Hatch Act violation
http://www.ers.usda.gov/d…

Crosslisted article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Functional Connectivity Networks for Transportation Delay Analysis: from Theory to Software
Carlson Moses B\"uth, Massimiliano Zanin

Evolutionary Map of the Universe: Detection of the Wolf-Rayet Star WR40
A. C. Bradley, Z. J. Smeaton, M. D. Filipovic, N. F. H. Tothill, R. Z. E. Alsaberi, J. D. Collier, Y. A. Gordon, A. M. Hopkins, H. Zakir
https://arxiv.org/abs/2510.02615

Evolutionary Map of the Universe: Detection of the Wolf-Rayet Star WR40
We present a radio-continuum detection of the well-known Wolf-Rayet star WR40 at 943.5 MHz using observations from the EMU survey. We find that the shell surrounding WR40, known as RCW 58, has a flux density of 158.9+/-15.8 mJy and the star itself is 0.41+/-0.04 mJy. The shell size is found to be 9' x 6', which matches well with the shell in Halpha and is similarly matched to the shell at 22 um in infrared. Using Gaia data, we derive a linear size of 7.32(+/-0.34) x 4.89(+/-0.23) pc at a distan…

Local Routing on a Convex Polytope in R^3
Sreehari Chandran, R. Inkulu
https://arxiv.org/abs/2510.02856 https://arxiv.org/pdf/2510.02856

Local Routing on a Convex Polytope in R^3
Given a convex polytope $P$ defined with $n$ vertices in $\mathbb{R}^3$, this paper presents an algorithm to preprocess $P$ to compute routing tables at every vertex of $P$ so that a data packet can be routed on $P$ from any vertex of $P$ to any other vertex of $P$. At every vertex $v$ of $P$ along the routing path, until the packet reaches its destination, the next hop is determined using the routing tables at $v$ and the information stored in the packet header. In $O(n+\min(n^3, \frac{1}{ε^7…

Layer-wise Analysis for Quality of Multilingual Synthesized Speech
Erica Cooper, Takuma Okamoto, Yamato Ohtani, Tomoki Toda, Hisashi Kawai
https://arxiv.org/abs/2509.04830 https…

Layer-wise Analysis for Quality of Multilingual Synthesized Speech
While supervised quality predictors for synthesized speech have demonstrated strong correlations with human ratings, their requirement for in-domain labeled training data hinders their generalization ability to new domains. Unsupervised approaches based on pretrained self-supervised learning (SSL) based models and automatic speech recognition (ASR) models are a promising alternative; however, little is known about how these models encode information about speech quality. Towards the goal of bet…

An eyecare foundation model for clinical assistance: a randomized controlled trial.
#ai

An eyecare foundation model for clinical assistance: a randomized controlled trial - Nature Medicine
Trained and validated on multimodal data from 14.5 million images from multicountry datasets, a foundation model is shown to increase diagnostic and referral accuracy of clinicians when used as an assistant in a trial involving 16 ophthalmologists and 668 patients.

Just released: embedded-io 0.7.{0,1}, along with its -async and -adapter siblings. These #RustLang crates help #embedded systems abstract over byte data input and output, similar to the standard library's io module.
If all goes as I hope, the embedded-io 0.7.x series can be followed compatibly …

crates.io: Rust Package Registry

Keyword Spotting with Hyper-Matched Filters for Small Footprint Devices
Yael Segal-Feldman, Ann R. Bradlow, Matthew Goldrick, Joseph Keshet
https://arxiv.org/abs/2508.04857 http…

Keyword Spotting with Hyper-Matched Filters for Small Footprint Devices
Open-vocabulary keyword spotting (KWS) refers to the task of detecting words or terms within speech recordings, regardless of whether they were included in the training data. This paper introduces an open-vocabulary keyword spotting model with state-of-the-art detection accuracy for small-footprint devices. The model is composed of a speech encoder, a target keyword encoder, and a detection network. The speech encoder is either a tiny Whisper or a tiny Conformer. The target keyword encoder is i…

High Resolution ALMA Data of the Fomalhaut Debris Disk Confirms Apsidal Width Variation
Jay S. Chittidi (Department of Physics and Astronomy, John Hopkins University, Department of Astrophysical and Planetary Sciences, University of Colorado, Boulder), Meredith A. MacGregor (Department of Physics and Astronomy, John Hopkins University), Joshua Bennett Lovell (Center for Astrophysics, Harvard and Smithsonian), Gaspard Duchene (Astronomy Department, University of California, Berkeley, Un…

High Resolution ALMA Data of the Fomalhaut Debris Disk Confirms Apsidal Width Variation
We present long-baseline observations of the Fomalhaut outer debris disk at 223 GHz (1.3 mm) from ALMA Cycle 5, which we use along with archival short-baseline observations to produce a 0".57 resolution mosaic of the disk at a sensitivity of 7 $μ$Jy/bm. We use radial profiles to measure the disk at the ansae and find that the southeast (SE) side of the disk is 4 AU wider than the northwest (NW) side as observed by ALMA. We also find that the peak brightness of the NW ansa is $21\pm1\%$ brighte…

OpenAI, Oracle, and SoftBank announce five new data center locations in the US, boosting Stargate's planned capacity to nearly 7 GW (Wired)
https://www.wired.com/story/openai-oracle-softbank-data-center-stargate-us/

OpenAI Teams Up With Oracle and SoftBank to Build 5 New Stargate Data Centers
The new sites will boost Stargate’s planned capacity to nearly 7 gigawatts—about equal to the output of seven large nuclear reactors.

twitter_higgs: Twitter, Higgs boson (2012)
Data on tweets related to the announcement of the discovery of a new fundamental particle with the features of the Higgs boson on 4th July 2012. Data covers 1-7 July 2012, and includes four types of networks: followers, retweets, replies, and mentions.
This network has 256491 nodes and 328132 edges.
Tags: Social, Online, Weighted, Multilayer

The damn #data don't lie... even if #WhiteHouse has fired the #statisticians
#USA

Observation of long-range collective flow in OO and NeNe collisions and implications for nuclear structure studies
CMS Collaboration
https://arxiv.org/abs/2510.02580 https://

Observation of long-range collective flow in OO and NeNe collisions and implications for nuclear structure studies
The long-range collective flow of particles produced in oxygen-oxygen (OO) and neon-neon (NeNe) collisions is measured with the CMS detector at the CERN LHC. The data samples were collected at a center-of-mass energy per nucleon pair of 5.36 TeV, with integrated luminosities of 7 nb$^{-1}$ and 0.8 nb$^{-1}$ for OO and NeNe collisions, respectively. Two- and four-particle azimuthal correlations are measured over nearly five units of pseudorapidity. Significant elliptic ($v_2$) and triangular ($v…

[2025-08-08 Fri (UTC), no new articles found for physics.data-an Data Analysis, Statistics and Probability]
toXiv_bot_toot

WaveSP-Net: Learnable Wavelet-Domain Sparse Prompt Tuning for Speech Deepfake Detection
Xi Xuan, Xuechen Liu, Wenxin Zhang, Yi-Cheng Lin, Xiaojian Lin, Tomi Kinnunen
https://arxiv.org/abs/2510.05305

WaveSP-Net: Learnable Wavelet-Domain Sparse Prompt Tuning for Speech Deepfake Detection
Modern front-end design for speech deepfake detection relies on full fine-tuning of large pre-trained models like XLSR. However, this approach is not parameter-efficient and may lead to suboptimal generalization to realistic, in-the-wild data types. To address these limitations, we introduce a new family of parameter-efficient front-ends that fuse prompt-tuning with classical signal processing transforms. These include FourierPT-XLSR, which uses the Fourier Transform, and two variants based on …

[2025-09-08 Mon (UTC), no new articles found for physics.data-an Data Analysis, Statistics and Probability]
toXiv_bot_toot

Enhancing Speaker Verification with w2v-BERT 2.0 and Knowledge Distillation guided Structured Pruning
Ze Li, Ming Cheng, Ming Li
https://arxiv.org/abs/2510.04213 https://…

Enhancing Speaker Verification with w2v-BERT 2.0 and Knowledge Distillation guided Structured Pruning
Large-scale self-supervised Pre-Trained Models (PTMs) have shown significant improvements in the speaker verification (SV) task by providing rich feature representations. In this paper, we utilize w2v-BERT 2.0, a model with approximately 600 million parameters trained on 450 million hours of unlabeled data across 143 languages, for the SV task. The MFA structure with Layer Adapter is employed to process the multi-layer feature outputs from the PTM and extract speaker embeddings. Additionally, w…

[2025-10-07 Tue (UTC), no new articles found for physics.data-an Data Analysis, Statistics and Probability]
toXiv_bot_toot

[2025-10-08 Wed (UTC), no new articles found for physics.data-an Data Analysis, Statistics and Probability]
toXiv_bot_toot

J-VAR: the northern variable sky in 7 filters -- First Data Release
A. Ederoclite, H. V\'azquez Rami\'o, A. Alvarez-Candal, B. B. Siffert, V. M. Placco, D. Morate, S. Pyrzas, C. L\'opez-Sanjuan, M. Mahlke, S. Kulkarni, L. Espinosa, M. J. Castro, B. Zacarias, M. Akhlaghi, J. Castillo, T. Civera, J. Hern\'andez-Fuertes, A. Hern\'an-Caballero, A. L\'opez-Sainz, G. Lorenzetti, D. Muniesa-Gallardo, A. Moreno-Signes, H. Vives-Arias, J. Zaragoza Cardiel, M. C. D\'i…

J-VAR: the northern variable sky in 7 filters -- First Data Release
Aims. The analysis of variability of astronomical sources is of extraordinary interest, as it allows the study of astrophysical phenomena in real time. This paper presents the Javalambre Variability Survey (J-VAR) which leverages the narrow band filters available at the Javalambre Auxiliary Survey Telescope (JAST80) at the Observatorio Astrofísico de Javalambre (OAJ). Methods. The JAST80 equipped with T80Cam, providing a field of view of 2\,square degrees and a pixel scale of 0.55\,arcsec/pi…

Microsoft plans to spend $7.9B on data centers, cloud, and staff in the UAE over the next four years, taking its total UAE investment to $15B from 2023 to 2029 (Bloomberg)
https://www.bloomberg.com/news/articles/2025-11…

Apache Flink is uniquely positioned to serve as the backbone for AI agents, equipping them with the powerful new tool of stream processing. At Berlin Buzzword 2025, Steffen Hoellinger discussed how Flink jobs can be transformed into “Agents”—autonomous, goal-driven entities that dynamically interact with data streams, trigger actions, and adapt their behaviour based on real-time insights.
Watch the full session: #bbuzz returns on 7-9 June 2026: https://tickets.plainschwarz.com/bbuzz26/c/8Hvk0ZvJA/

twitter_higgs: Twitter, Higgs boson (2012)
Data on tweets related to the announcement of the discovery of a new fundamental particle with the features of the Higgs boson on 4th July 2012. Data covers 1-7 July 2012, and includes four types of networks: followers, retweets, replies, and mentions.
This network has 456626 nodes and 14855842 edges.
Tags: Social, Online, Weighted, Multilayer

Anthropic expands Claude for Financial Services with a beta Claude for Excel integration, additional data connectors, and new pre-built Agent Skills (Webb Wright/ZDNET)
https://www.zdnet.com/article/claude-can-integrate-with-excel-now-plus-7-oth…

Claude can integrate with Excel now - plus 7 other new connectors
Here's how you can access a raft of upgrades intended to boost the chatbot's financial prowess and access to real-time market information.

twitter_higgs: Twitter, Higgs boson (2012)
Data on tweets related to the announcement of the discovery of a new fundamental particle with the features of the Higgs boson on 4th July 2012. Data covers 1-7 July 2012, and includes four types of networks: followers, retweets, replies, and mentions.
This network has 456626 nodes and 14855842 edges.
Tags: Social, Online, Weighted, Multilayer

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Sampling parameters of ordinary differential equations with Langevin dynamics that satisfy constr...
Chris Chi, Jonathan Weare, Aaron R. Dinner

Crosslisted article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- An exact multiple-time-step variational formulation for the committor and the transition rate
Chatipat Lorpaiboon, Jonathan Weare, Aaron R. Dinner

twitter_higgs: Twitter, Higgs boson (2012)
Data on tweets related to the announcement of the discovery of a new fundamental particle with the features of the Higgs boson on 4th July 2012. Data covers 1-7 July 2012, and includes four types of networks: followers, retweets, replies, and mentions.
This network has 38918 nodes and 32523 edges.
Tags: Social, Online, Weighted, Multilayer

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses
Eslam Abdelaleem, Ilya Nemenman, K. Michael Martini

Reconstruction of the Complete Vocal Tract Contour Through Acoustic to Articulatory Inversion Using Real-Time MRI Data
Sofiane Azzouz, Pierre-Andr\'e Vuissoz, Yves Laprie
https://arxiv.org/abs/2510.00914

Reconstruction of the Complete Vocal Tract Contour Through Acoustic to Articulatory Inversion Using Real-Time MRI Data
Acoustic to articulatory inversion has often been limited to a small part of the vocal tract because the data are generally EMA (ElectroMagnetic Articulography) data requiring sensors to be glued to easily accessible articulators. The presented acoustic to articulation model focuses on the inversion of the entire vocal tract from the glottis, the complete tongue, the velum, to the lips. It relies on a realtime dynamic MRI database of more than 3 hours of speech. The data are the denoised speech…

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Dependence of the Solar Wind Plasma Density on Moderate- and Extremely High-Geomagnetic Activity ...
Ryozo Kitajima, Motoharu Nowada, Ryotaro Kamimura

Crosslisted article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI MPS)
Andrew Ferguson, et al.

Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition
Tai Vu
https://arxiv.org/abs/2509.00077 https://arxiv.org/…

Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition
Speech Emotion Recognition (SER) presents a significant yet persistent challenge in human-computer interaction. While deep learning has advanced spoken language processing, achieving high performance on limited datasets remains a critical hurdle. This paper confronts this issue by developing and evaluating a suite of machine learning models, including Support Vector Machines (SVMs), Long Short-Term Memory networks (LSTMs), and Convolutional Neural Networks (CNNs), for automated emotion classifi…

[2025-09-05 Fri (UTC), no new articles found for physics.data-an Data Analysis, Statistics and Probability]
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Towards Improved Speech Recognition through Optimized Synthetic Data Generation
Yanis Perrin, Gilles Boulianne
https://arxiv.org/abs/2508.21631 https://arx…

Towards Improved Speech Recognition through Optimized Synthetic Data Generation
Supervised training of speech recognition models requires access to transcribed audio data, which often is not possible due to confidentiality issues. Our approach to this problem is to generate synthetic audio from a text-only corpus using a state-of-the-art text-to-speech model with voice cloning capabilities. Our goal is to achieve automatic speech recognition (ASR) performance comparable to models trained on real data. We explore ways to optimize synthetic data generation through finetuning…

Crosslisted article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Testing maximum entropy models with e-values
Francesca Giuffrida, Diego Garlaschelli, Peter Gr\"unwald

Crosslisted article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- A Mathematical Framework for Quantifying Nonlinear Uncertainty Propagation in Eddy Identification...
Charlotte Moser, Nan Chen, Stephen Wiggins

Group Relative Policy Optimization for Speech Recognition
Prashanth Gurunath Shivakumar, Yile Gu, Ankur Gandhe, Ivan Bulyko
https://arxiv.org/abs/2509.01939 https://

Group Relative Policy Optimization for Speech Recognition
Speech Recognition has seen a dramatic shift towards adopting Large Language Models (LLMs). This shift is partly driven by good scalability properties demonstrated by LLMs, ability to leverage large amounts of labelled, unlabelled speech and text data, streaming capabilities with auto-regressive framework and multi-tasking with instruction following characteristics of LLMs. However, simple next-token prediction objective, typically employed with LLMs, have certain limitations in performance and…

Clustering of Acoustic Environments with Variational Autoencoders for Hearing Devices
Luan Vin\'icius Fiorio, Ivana Nikoloska, Wim van Houtum, Ronald M. Aarts
https://arxiv.org/abs/2510.01940

Clustering of Acoustic Environments with Variational Autoencoders for Hearing Devices
Particularly in hearing devices, the environmental context is taken into account for audio processing, often through classification. Traditional acoustic environment classification relies on classical algorithms, which are unable to extract meaningful representations of high-dimensionality data, or on supervised learning, being limited by the availability of labels. Knowing that human-imposed labels do not always reflect the true structure of acoustic scenes, we explore the (unsupervised) clust…

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Extracting self-similarity from data
Nikos Bempedelis, Luca Magri, Konstantinos Steiros

MPO: Multidimensional Preference Optimization for Language Model-based Text-to-Speech
Kangxiang Xia, Xinfa Zhu, Jixun Yao, Lei Xie
https://arxiv.org/abs/2509.00685 https://

MPO: Multidimensional Preference Optimization for Language Model-based Text-to-Speech
In recent years, text-to-speech (TTS) has seen impressive advancements through large-scale language models, achieving human-level speech quality. Integrating human feedback has proven effective for enhancing robustness in these systems. However, current approaches face challenges in optimizing TTS with preference data across multiple dimensions and often suffer from performance degradation due to overconfidence in rewards. We propose Multidimensional Preference Optimization (MPO) to better alig…

[2025-09-04 Thu (UTC), 2 new articles found for physics.data-an Data Analysis, Statistics and Probability]
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Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning
Abdullah Abdelfattah, Mahmoud I. Khalil, Hazem Abbas
https://arxiv.org/abs/2509.00094

Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning
Assessing spoken language is challenging, and quantifying pronunciation metrics for machine learning models is even harder. However, for the Holy Quran, this task is simplified by the rigorous recitation rules (tajweed) established by Muslim scholars, enabling highly effective assessment. Despite this advantage, the scarcity of high-quality annotated data remains a significant barrier. In this work, we bridge these gaps by introducing: (1) A 98% automated pipeline to produce high-quality Qura…

Crosslisted article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Architecturally Constrained Solutions to Ill-Conditioned Problems in QUBIC
Leonora Kardum

Characterization of Speech Similarity Between Australian Aboriginal and High-Resource Languages: A Case Study on Dharawal
Ting Dang, Trini Manoj Jeyaseelan, Eliathamby Ambikairajah, Vidhyasaharan Sethu
https://arxiv.org/abs/2509.01419

Characterization of Speech Similarity Between Australian Aboriginal and High-Resource Languages: A Case Study on Dharawal
Australian Aboriginal languages are of significant cultural and linguistic value but remain severely underrepresented in modern speech AI systems. While state-of-the-art speech foundation models and automatic speech recognition excel in high-resource settings, they often struggle to generalize to low-resource languages, especially those lacking clean, annotated speech data. In this work, we collect and clean a speech dataset for Dharawal, a low-resource Australian Aboriginal language, by carefu…

DeepEmoNet: Building Machine Learning Models for Automatic Emotion Recognition in Human Speeches
Tai Vu
https://arxiv.org/abs/2509.00025 https://arxiv.org/…

DeepEmoNet: Building Machine Learning Models for Automatic Emotion Recognition in Human Speeches
Speech emotion recognition (SER) has been a challenging problem in spoken language processing research, because it is unclear how human emotions are connected to various components of sounds such as pitch, loudness, and energy. This paper aims to tackle this problem using machine learning. Particularly, we built several machine learning models using SVMs, LTSMs, and CNNs to classify emotions in human speeches. In addition, by leveraging transfer learning and data augmentation, we efficiently tr…

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- AMBER: Algorithm for Multiplexing spectrometer Background Estimation with Rotation-independence
Jakob Lass, Victor Cohen, Benjam\'in B\'ejar Haro, Daniel G. Mazzone

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Compact 15-minute cities are greener
Francesco Marzolla, Matteo Bruno, Hygor Piaget Monteiro Melo, Vittorio Loreto

Unsupervised Speech Enhancement using Data-defined Priors
Dominik Klement, Matthew Maciejewski, Sanjeev Khudanpur, Jan \v{C}ernock\'y, Luk\'a\v{s} Burget
https://arxiv.org/abs/2509.22942

Unsupervised Speech Enhancement using Data-defined Priors
The majority of deep learning-based speech enhancement methods require paired clean-noisy speech data. Collecting such data at scale in real-world conditions is infeasible, which has led the community to rely on synthetically generated noisy speech. However, this introduces a gap between the training and testing phases. In this work, we propose a novel dual-branch encoder-decoder architecture for unsupervised speech enhancement that separates the input into clean speech and residual noise. Adve…

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Glitches far from transient gravitational-wave events do not bias inference
Sophie Hourihane, Katerina Chatziioannou

Code-switching Speech Recognition Under the Lens: Model- and Data-Centric Perspectives
Hexin Liu, Haoyang Zhang, Qiquan Zhang, Xiangyu Zhang, Dongyuan Shi, Eng Siong Chng, Haizhou Li
https://arxiv.org/abs/2509.24310

Code-switching Speech Recognition Under the Lens: Model- and Data-Centric Perspectives
Code-switching automatic speech recognition (CS-ASR) presents unique challenges due to language confusion introduced by spontaneous intra-sentence switching and accent bias that blurs the phonetic boundaries. Although the constituent languages may be individually high-resource, the scarcity of annotated code-switching data further compounds these challenges. In this paper, we systematically analyze CS-ASR from both model-centric and data-centric perspectives. By comparing state-of-the-art algor…

Crosslisted article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Computationally Tractable Offline Quantum Experimental Design for Nuclear Spin Detection
B. Varona-Uriarte, F. Belliardo, T. H. Taminiau, C. Bonato, E. Garrote, J. Casanov…

Crosslisted article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Turbulence Impacted Beam Statistics and Image Topology with Lorentz Dipole Oscillation
Shouvik Sadhukhan, C. S. Narayanamurthy

Fundamentals of Data-Driven Approaches to Acoustic Signal Detection, Filtering, and Transformation
Chao Pan
https://arxiv.org/abs/2508.21470 https://arxiv.…

Fundamentals of Data-Driven Approaches to Acoustic Signal Detection, Filtering, and Transformation
In recent decades, the field of signal processing has rapidly evolved due to diverse application demands, leading to a rich array of scientific questions and research areas. The forms of signals, their formation mechanisms, and the information extraction methods vary by application, resulting in diverse signal processing techniques. Common techniques can be categorized into three types: transformation, detection, and filtering. Signal transformation converts signals from their original domain t…

[2025-09-03 Wed (UTC), no new articles found for physics.data-an Data Analysis, Statistics and Probability]
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[2025-10-03 Fri (UTC), no new articles found for physics.data-an Data Analysis, Statistics and Probability]
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Predicting MacroB12: Data-Driven Assessment of Pre-PEG B12 Utility and Clinical Caveats
Carmen Fr\'ias-Ruiz (Hospital Universitario Nuestra Se\~nora de Candelaria), Jos\'e Mar\'ia G\'alvez-Navas (CIBERESP, Andalusian School of Public Health, Instituto de Investigaci\'on Biosanitaria ibs.GRANADA, University of Granada), Isabel Garc\'ia-Calcerrada (Hospital Universitario Nuestra Se\~nora de Candelaria), Silvia Heras Fl\'orez (Hospital Universitario Nuestra Se\…

Predicting MacroB12: Data-Driven Assessment of Pre-PEG B12 Utility and Clinical Caveats
MacroB12 interference presents a significant challenge in the diagnosis of Vitamin B12 status, potentially masking true deficiency. To establish robust predictors and quantify the utility of pre-polyethylene glycol (PEG) B12 levels, we conducted a retrospective analysis of 875 individuals with hypercobalaminaemia (greater than 1000 pg/mL), using multiple imputation to handle missing data. Multivariable regression modelling revealed that MacroB12 positivity (less than 30% PEG recovery) was indep…

Crosslisted article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Network Inequality through Preferential Attachment, Triadic Closure, and Homophily
Jan Bachmann, Samuel Martin-Gutierrez, Lisette Esp\'in-Noboa, Nicola Cinardi, Fariba…

[2025-10-02 Thu (UTC), 2 new articles found for physics.data-an Data Analysis, Statistics and Probability]
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[2025-09-02 Tue (UTC), no new articles found for physics.data-an Data Analysis, Statistics and Probability]
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Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Intrinsic Signal Models Defined by the High-Dimensional, Small-Sample Limit
Yoh-ichi Mototake, Y-h. Taguchi

Crosslisted article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Foundation models for high-energy physics
Anna Hallin

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Extreme Learning Machine for the Characterization of Anomalous Diffusion from Single Trajectories...
Carlo Manzo

Crosslisted article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Identification of phase correlations in Financial Stock Market Turbulence
Kiran Sharma, Abhijit Dutta, Rupak Mukherjee

[2025-10-01 Wed (UTC), 1 new article found for physics.data-an Data Analysis, Statistics and Probability]
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[2025-09-01 Mon (UTC), no new articles found for physics.data-an Data Analysis, Statistics and Probability]
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Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neura...
Pralay Kumar Das, Nayana Majumdar, Supratik Mukhopadhyay