Tootfinder

"So what if, right, what if, we put the data centres in … space!
This idea has a lot of appeal if you’ve read too much sci-fi, and it sounds obvious if you don’t know any practical details."
(Original title: AI data centres — in SPACE! Why DCs in space can’t work)
https://

AI data centres — in SPACE! Why DCs in space can’t work
Spending all the money you have and all the money you can get and all the money you can promise has a number of side effects, such as gigantic data centres full of high-power chips just to run lyin…

https://www.theguardian.com/technology/2025/nov/02/corporate-responses-data-leaks-protecting-brands-not-consumers
The Guardian used “getting screwed” in a headline.
Knee-jerk corporate responses to data leaks p…

Knee-jerk corporate responses to data leaks protect brands like Qantas — but consumers are getting screwed
When courts ban people from accessing leaked data – as happened after the recent Qantas data breach – only hackers and scammers win

CNN partners with Kalshi to use the company's real-time prediction data in its reporting, for on-air data tickers, fact-checking, and more (Sara Fischer/Axios)
https://www.axios.com/2025/12/02/cnn-kalshi-prediction-market-data

Exclusive: CNN strikes prediction data partnership with Kalshi
The collaboration marks the first major news partnership for Kalshi.

Your data, their rules
https://blog.42futures.com/p/your-data-their-rules

IoDResearch: Deep Research on Private Heterogeneous Data via the Internet of Data
Zhuofan Shi, Zijie Guo, Xinjian Ma, Gang Huang, Yun Ma, Xiang Jing
https://arxiv.org/abs/2510.01553

IoDResearch: Deep Research on Private Heterogeneous Data via the Internet of Data
The rapid growth of multi-source, heterogeneous, and multimodal scientific data has increasingly exposed the limitations of traditional data management. Most existing DeepResearch (DR) efforts focus primarily on web search while overlooking local private data. Consequently, these frameworks exhibit low retrieval efficiency for private data and fail to comply with the FAIR principles, ultimately resulting in inefficiency and limited reusability. To this end, we propose IoDResearch (Internet of D…

So this is what one possible database migration scenario looks like in Kitten when you’re storing JavaScript objects (instances of JavaScript classes) in your database.
(In this case, I’m moving a VerifiedAccounts collection comprising VerifiedAccount instances to an Accounts collection comprising Account instances, which introduces an inVerified boolean to the model.)
See the Database App Modules Kitten tutorial for more:

LinkedIn sues a company called ProAPIs for allegedly operating millions of fake accounts to scrape LinkedIn member data and selling it for ~$15,000 per month (Suzanne Smalley/The Record)
https://therecord.media/linkedin-sues-data-scraping-company

LinkedIn sues software company allegedly scraping data from millions of profiles
ProAPIs, a software company, and its CEO Rahmat Alam allegedly run an operation which LinkedIn says charges customers up to $15,000 per month for scraped user data taken from the social media platform.

Meanwhile on the #Sun as seen by SDO HMI https://jsoc1.stanford.edu/data/hmi/images/latest/HMI_latest_Int_4096x4096.gif at 21:53 UTC today ... the big groups (1)4296 and 4294 at the bottom as well as 4299 at the top keep marching towards the center of the disk, but not much has happened since the X1.9 flare two days ago. (The Kp forecast in https://www.spacepager.eu/data-products/forecast-of-the-kp-index sees something interesting three nights from now, though, but such long-term views are notoriously unreliable.)

European Court rejects challenge to EU-US data transfer agreement https://therecord.media/european-court-rejects-challenge-us-eu-data-transfer-agreement

Fiaingen: A financial time series generative method matching real-world data quality
Jo\v{z}e M. Ro\v{z}anec, Tina \v{Z}ezlin, Laurentiu Vasiliu, Dunja Mladeni\'c, Radu Prodan, Dumitru Roman
https://arxiv.org/abs/2510.01169

Fiaingen: A financial time series generative method matching real-world data quality
Data is vital in enabling machine learning models to advance research and practical applications in finance, where accurate and robust models are essential for investment and trading decision-making. However, real-world data is limited despite its quantity, quality, and variety. The data shortage of various financial assets directly hinders the performance of machine learning models designed to trade and invest in these assets. Generative methods can mitigate this shortage. In this paper, we in…

Russia’s Economic Growth Slows for Third Straight Quarter – Ministry Data
https://www.themoscowtimes.com/2025/10/30/russias-economic-growth-slows-for-third-straight-quarter-ministry-data-a90994

Russia’s Economic Growth Slows for Third Straight Quarter – Ministry Data
Russia’s economy has continued to lose momentum for the third consecutive quarter, according to new data from the Economic Development Ministry.

https://www.cnn.com/2025/10/02/uk/nursery-hackers-delete-data-intl-gbr
Nursery hackers delete children’s data following backlash, UK media reports

Nursery hackers delete children’s data following backlash, UK media reports
Hackers who stole the data of more than 8,000 children including photos, addresses and names and published some of the information on the dark web have removed the posts online and claim to have deleted the information, according to UK media reports.

Sequent Calculi for Data-Aware Modal Logics
Carlos Areces (Universidad Nacional de Cordoba,CONICET), Valentin Cassano (Universidad Nacional de Rio Cuarto,CONICET), Danae Dutto (Universidad Nacional de Cordoba,CONICET), Raul Fervari (Universidad Nacional de Cordoba,CONICET)
https://arxiv.org/abs/2510.01868

Sequent Calculi for Data-Aware Modal Logics
Data-aware modal logics offer a powerful formalism for reasoning about semi-structured queries in languages such as DataGL, XPath, and GQL. In brief, these logics can be viewed as modal systems capable of expressing both reachability statements and data-aware properties, such as value comparisons. One particularly expressive logic in this landscape is HXpathD, a hybrid modal logic that captures not only the navigational core of XPath but also data comparisons, node labels (keys), and key-based …

From keywords to semantics: Perceptions of large language models in data discovery
Maura E Halstead, Mark A. Green, Caroline Jay, Richard Kingston, David Topping, Alexander Singleton
https://arxiv.org/abs/2510.01473

From keywords to semantics: Perceptions of large language models in data discovery
Current approaches to data discovery match keywords between metadata and queries. This matching requires researchers to know the exact wording that other researchers previously used, creating a challenging process that could lead to missing relevant data. Large Language Models (LLMs) could enhance data discovery by removing this requirement and allowing researchers to ask questions with natural language. However, we do not currently know if researchers would accept LLMs for data discovery. Usin…

Data regulators in Thailand said they are blocking the Sam Altman-founded company Tools for Humanity from collecting iris scans.
"The business model is based on the premise that it will become more difficult to tell humans apart from online AI avatars in the near future."
It sounds like we create a problem then found a business to solve the problem.

Detection and Identification of Sensor Attacks Using Data
Takumi Shinohara, Karl H. Johansson, Henrik Sandberg
https://arxiv.org/abs/2510.02183 https://arx…

Detection and Identification of Sensor Attacks Using Data
In this paper, we investigate data-driven attack detection and identification in a model-free setting. Unlike existing studies, we consider the case where the available output data include malicious false-data injections. We aim to detect and identify such attacks solely from the compromised data. We address this problem in two scenarios: (1) when the system operator is aware of the system's sparse observability condition, and (2) when the data are partially clean (i.e., attack-free). In both s…

Fragility Analysis of Data-Driven Feedback Gains
Yongzhang Li, Amir Shakouri, M. Kanat Camlibel
https://arxiv.org/abs/2510.00717 https://arxiv.org/pdf/2510…

Fragility Analysis of Data-Driven Feedback Gains
For linear time-invariant systems, input-state data collected during an open-loop experiment can remedy the lack of knowledge of system parameters. However, such data do not contain information about other system uncertainties such as feedback perturbations. In this paper, we study the effect of additive perturbations on control parameters in a data-based setting. To this end, we parameterize the set of quadratically stabilizing feedback gains obtained from noisy input-state data. We study the …

Moonlake AI, which offers tools to help users "vibe code virtual worlds", including for gaming, animation, and filmmaking, comes out of stealth with a $28M seed (Rashi Shrivastava/Forbes)
https://www.forbes.com/sites/rashishrivast

Gaming Worlds Could Be The Answer To AI’s Data Problem
Stanford PhDs Fan-Yun Sun and Sharon Lee cofounded AI research company Moonlake AI to help people "vibe code virtual worlds."

{piggyback} makes it easier to attach large files (e.g. input data) to code in github repos: #rstats

GitHub - ropensci/piggyback: :package: for using large(r) data files on GitHub
:package: for using large(r) data files on GitHub. Contribute to ropensci/piggyback development by creating an account on GitHub.

sp_baboons: Baboons' interactions (2020)
Network of interactions between a group of 20 Guinea baboons living in an enclosure of a Primate Center in France, between June 13th 2019 and July 10th 2019. The data set contains observational and wearable sensors data.
This network has 23 nodes and 3197 edges.
Tags: Social, Animal, Offline, Unweighted, Weighted, Temporal, Metadata

Manufacturer Remotely Bricks Smart Vacuum After Its Owner Blocked It From Collecting Data - Slashdot
https://yro.slashdot.org/story/25/11/02/2241201/manufacturer-remotely-bricks-smart-vacuum-after-its-owner-blocked-it-from-collecting-data

DHS Wants States to Hand Over Driver's License Data for Citizenship Checks (Talking Points Memo)
https://talkingpointsmemo.com/news/dhs-wants-states-to-hand-over-drivers-license-data-for-citizenship-checks
http://www.memeorandum.com/251103/p112#a251103p112

Data Management System Analysis for Distributed Computing Workloads
Kuan-Chieh Hsu, Sairam Sri Vatsavai, Ozgur O. Kilic, Tatiana Korchuganova, Paul Nilsson, Sankha Dutta, Yihui Ren, David K. Park, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Fr\'ed\'eric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie

Data Management System Analysis for Distributed Computing Workloads
Large-scale international collaborations such as ATLAS rely on globally distributed workflows and data management to process, move, and store vast volumes of data. ATLAS's Production and Distributed Analysis (PanDA) workflow system and the Rucio data management system are each highly optimized for their respective design goals. However, operating them together at global scale exposes systemic inefficiencies, including underutilized resources, redundant or unnecessary transfers, and altered erro…

Just received an email from Jetbrains about data collection in their IDE
> We’re now adding the option to allow the collection of detailed code‑related data pertaining to IDE activity, such as edit history, terminal usage, and your interactions with AI features. This may include code snippets, prompt text, and AI responses.
> If you’re using a non-commercial license, detailed code‑related data collection will be enabled as part of your next IDE update – you will be notified …

@… great meeting you at #IETF124
I shared Cyd with you https://cyd.social/ and yes, wo…

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

これです
QT: https://misskey.io/notes/aenmb0ltrj7x0fd4

Manufacturer issues remote kill command to disable smart vacuum after engineer blocks it from collecting data
— Then the user revives it with custom hardware and Python scripts to run offline

Manufacturer issues remote kill command to disable smart vacuum after engineer blocks it from collecting data — user revives it with custom hardware and Python scripts to run offline
The smart vacuum cleaner was remotely bricked for not collecting data.

Unveiling Interesting Insights: Monte Carlo Tree Search for Knowledge Discovery
Pietro Totis, Alberto Pozanco, Daniel Borrajo
https://arxiv.org/abs/2510.00876 https://

Unveiling Interesting Insights: Monte Carlo Tree Search for Knowledge Discovery
Organizations are increasingly focused on leveraging data from their processes to gain insights and drive decision-making. However, converting this data into actionable knowledge remains a difficult and time-consuming task. There is often a gap between the volume of data collected and the ability to process and understand it, which automated knowledge discovery aims to fill. Automated knowledge discovery involves complex open problems, including effectively navigating data, building models to e…

SAGE-LD: Towards Scalable and Generalizable End-to-End Language Diarization via Simulated Data Augmentation
Sangmin Lee, Woongjib Choi, Jihyun Kim, Hong-Goo Kang
https://arxiv.org/abs/2510.00582

SAGE-LD: Towards Scalable and Generalizable End-to-End Language Diarization via Simulated Data Augmentation
In this paper, we present a neural spoken language diarization model that supports an unconstrained span of languages within a single framework. Our approach integrates a learnable query-based architecture grounded in multilingual awareness, with large-scale pretraining on simulated code-switching data. By jointly leveraging these two components, our method overcomes the limitations of conventional approaches in data scarcity and architecture optimization, and generalizes effectively to real-wo…

Cortigent hopes to raise nearly $15 million through IPO https://www.sec.gov/Archives/edgar/data/1958489/000175392625001850/g085026_s1a.htm "there are about 82,000 Americans who could potentially benefit from the Orion system";

Secure Multi-Modal Data Fusion in Federated Digital Health Systems via MCP
Aueaphum Aueawatthanaphisut
https://arxiv.org/abs/2510.01780 https://arxiv.org/p…

Secure Multi-Modal Data Fusion in Federated Digital Health Systems via MCP
Secure and interoperable integration of heterogeneous medical data remains a grand challenge in digital health. Current federated learning (FL) frameworks offer privacy-preserving model training but lack standardized mechanisms to orchestrate multi-modal data fusion across distributed and resource-constrained environments. This study introduces a novel framework that leverages the Model Context Protocol (MCP) as an interoperability layer for secure, cross-agent communication in multi-modal fede…

JADES Data Release 4 -- Paper II: Data reduction, analysis and emission-line fluxes of the complete spectroscopic sample
J. Scholtz, S. Carniani, E. Parlanti, F. D'Eugenio, E. Curtis-Lake, P. Jakobsen, A. J. Bunker, A. J. Cameron, S. Arribas, W. M. Baker, S. Charlot, J. Chevellard, C. Circosta, M. Curti, Q. Duan, D. J. Eisenstein, K. Hainline, Z. Ji, B. D. Johnson, G. C. Jones, N. Kumari, R. Maiolino, M. V. Maseda, M. Perna, P. G. P\'erez-Gonz\'alez, T. Rawle, M. Rieke, P. …

JADES Data Release 4 - Paper II: Data reduction, analysis and emission-line fluxes of the complete spectroscopic sample
We present the fourth data release of JADES, the JWST Advanced Deep Extragalactic Survey, providing deep spectroscopic observations in the two GOODS fields. A companion paper presents the target selection, spectroscopic redshifts and success rates, and in this paper, we discuss the data reduction and present emission line flux measurements. The spectroscopy in this work consists of medium-depth, deep and ultradeep NIRSpec/MSA spectra of 5,190 targets, covering the spectral range $0.6\text{--}5.…

Bridging the Gap Between Simulated and Real Network Data Using Transfer Learning
Carlos G\"uemes-Palau, Miquel Ferriol-Galm\'es, Jordi Paillisse-Vilanova, Albert L\'opez-Bresc\'o, Pere Barlet-Ros, Albert Cabellos-Aparicio
https://arxiv.org/abs/2510.00956

Bridging the Gap Between Simulated and Real Network Data Using Transfer Learning
Machine Learning (ML)-based network models provide fast and accurate predictions for complex network behaviors but require substantial training data. Collecting such data from real networks is often costly and limited, especially for critical scenarios like failures. As a result, researchers commonly rely on simulated data, which reduces accuracy when models are deployed in real environments. We propose a hybrid approach leveraging transfer learning to combine simulated and real-world data. Usi…

ADARI: Visualizing the quality of VLT data
C. E. Garc\'ia-Dab\'o, P. Beirao, Z. Kostrzewa, A. Gabasch, B. Wolff, M. White, M. Deshpande, B. Miszalski, P. Corcho-Caballero, C. Onken, A. Heng, M. Gonz\'alez
https://arxiv.org/abs/2510.00147

ADARI: Visualizing the quality of VLT data
ADARI (Astronomical DAta Reporting Infrastructure) is a system designed for creating graphical reports of astronomical data so that the quality of these products can be assessed. It has been designed from the ground up to be backend-agnostic, meaning the same ADARI code can be sent to a web plotting API, or a code-based plotting API, with no alteration. Quick data inspection is an important feature in data reduction systems. The use cases range from quality control at the telescope, advance q…

A Data-Adaptive Factor Model Using Composite Quantile Approach
Seeun Park, Hee-Seok Oh
https://arxiv.org/abs/2510.00558 https://arxiv.org/pdf/2510.00558

A Data-Adaptive Factor Model Using Composite Quantile Approach
This paper proposes a data-adaptive factor model (DAFM), a novel framework for extracting common factors that explain the structures of high-dimensional data. DAFM adopts a composite quantile strategy to adaptively capture the full distributional structure of the data, thereby enhancing estimation accuracy and revealing latent patterns that are invisible to conventional factor models. In this paper, we develop a practical algorithm for estimating DAFM by minimizing an objective function based o…

Non-Asymptotic Analysis of Data Augmentation for Precision Matrix Estimation
Lucas Morisset, Adrien Hardy, Alain Durmus
https://arxiv.org/abs/2510.02119 https://

Non-Asymptotic Analysis of Data Augmentation for Precision Matrix Estimation
This paper addresses the problem of inverse covariance (also known as precision matrix) estimation in high-dimensional settings. Specifically, we focus on two classes of estimators: linear shrinkage estimators with a target proportional to the identity matrix, and estimators derived from data augmentation (DA). Here, DA refers to the common practice of enriching a dataset with artificial samples--typically generated via a generative model or through random transformations of the original data--…

Sync-in · The open-source platform that keeps your data safe
Sync-in is your open-source platform to store, share, collaborate, and sync your files. Manage your data, freely, privately and with no compromise.
📑 https://sync-in.com
:mastodon: @…

Sync-in
The secure, open-source platform for file storage, sharing, collaboration, and syncing.

Hackers steal data, extort $350,000 from massage parlor clients
https://koreajoongangdaily.joins.com/news/2025-11-03/national/socialAffairs/Hackers-steal-data-extort-350000-from-massage-parlor-cli…

Hackers steal data, extort $350,000 from massage parlor clients
Police have arrested members of a hacking and phishing crime ring that stole data from massage parlor owner phones in order to scam their clients out of millions of won by threatening to release nonexistent “massage videos” if they didn't pay.

Extracting O*NET Features from the NLx Corpus to Build Public Use Aggregate Labor Market Data
Stephen Meisenbacher, Svetlozar Nestorov, Peter Norlander
https://arxiv.org/abs/2510.01470

Extracting O*NET Features from the NLx Corpus to Build Public Use Aggregate Labor Market Data
Data from online job postings are difficult to access and are not built in a standard or transparent manner. Data included in the standard taxonomy and occupational information database (O*NET) are updated infrequently and based on small survey samples. We adopt O*NET as a framework for building natural language processing tools that extract structured information from job postings. We publish the Job Ad Analysis Toolkit (JAAT), a collection of open-source tools built for this purpose, and demo…

Data selection: at the interface of PDE-based inverse problem and randomized linear algebra
Kathrin Hellmuth, Ruhui Jin, Qin Li, Stephen J. Wright
https://arxiv.org/abs/2510.01567

Data selection: at the interface of PDE-based inverse problem and randomized linear algebra
All inverse problems rely on data to recover unknown parameters, yet not all data are equally informative. This raises the central question of data selection. A distinctive challenge in PDE-based inverse problems is their inherently infinite-dimensional nature: both the parameter space and the design space are infinite, which greatly complicates the selection process. Somewhat unexpectedly, randomized numerical linear algebra (RNLA), originally developed in very different contexts, has provided…

GeoPurify: A Data-Efficient Geometric Distillation Framework for Open-Vocabulary 3D Segmentation
Weijia Dou, Xu Zhang, Yi Bin, Jian Liu, Bo Peng, Guoqing Wang, Yang Yang, Heng Tao Shen
https://arxiv.org/abs/2510.02186

GeoPurify: A Data-Efficient Geometric Distillation Framework for Open-Vocabulary 3D Segmentation
Recent attempts to transfer features from 2D Vision-Language Models (VLMs) to 3D semantic segmentation expose a persistent trade-off. Directly projecting 2D features into 3D yields noisy and fragmented predictions, whereas enforcing geometric coherence necessitates costly training pipelines and large-scale annotated 3D data. We argue that this limitation stems from the dominant segmentation-and-matching paradigm, which fails to reconcile 2D semantics with 3D geometric structure. The geometric c…

This is the most obscene and ludicrous thing I have ever heard.
#ai #data #energy https://c.im/@cdarwin/115486551494724660

Faraday Depolarization Study of a Radio Galaxy Using LOFAR Two-metre Sky Survey: Data Release 2
Samantha Sneha Paul, Abhik Ghosh
https://arxiv.org/abs/2510.00440 https://…

Faraday Depolarization Study of a Radio Galaxy Using LOFAR Two-metre Sky Survey: Data Release 2
We present a detailed depolarization analysis of a radio galaxy ILTJ012215.21+254334.8, utilizing polarimetric data from the LOFAR Two-metre Sky Survey (LoTSS) Data Release 2 (DR2) catalogue. The selected source exhibits a rotation measure (RM) of ~ - 47 rad/m^2 and a projected linear size of 335 kpc at a redshift z ~ 0.05. Depolarization model fitting was performed on LOFAR High Band Antenna data (120 - 168 MHz), with fractional polarization detected at 3.0%. Five depolarization models were te…

Perturbations of Minkowski spacetime with regular conformal compactification
Andrea N\"utzi
https://arxiv.org/abs/2510.01964 https://arxiv.org/pdf/251…

Perturbations of Minkowski spacetime with regular conformal compactification
We construct perturbations of Minkowski spacetime in general relativity, when given initial data that decays inverse polynomially to initial data of a Kerr spacetime towards spacelike infinity. We show that the perturbations admit a regular conformal compactification at null and timelike infinity, where the degree of regularity increases linearly with the rate of decay of the initial data to Kerr initial data. In particular, the compactification is smooth if the initial data decays rapidly to K…

LLM-based Multi-Agent Blackboard System for Information Discovery in Data Science
Alireza Salemi, Mihir Parmar, Palash Goyal, Yiwen Song, Jinsung Yoon, Hamed Zamani, Hamid Palangi, Tomas Pfister
https://arxiv.org/abs/2510.01285

LLM-based Multi-Agent Blackboard System for Information Discovery in Data Science
The rapid advancement of Large Language Models (LLMs) has opened new opportunities in data science, yet their practical deployment is often constrained by the challenge of discovering relevant data within large heterogeneous data lakes. Existing methods struggle with this: single-agent systems are quickly overwhelmed by large, heterogeneous files in the large data lakes, while multi-agent systems designed based on a master-slave paradigm depend on a rigid central controller for task allocation …

AI chip startup Groq, last valued at $6.9B, says it plans to break ground on 12 new data centers in 2026; Groq has set up 12 data centers in 2025 so far (Kimberley Kao/Wall Street Journal)
https://www.wsj.com/business/ai-unicorn-groq-charts-data-cente…

Privacy-Preserving Learning-Augmented Data Structures
Prabhav Goyal, Vinesh Sridhar, Wilson Zheng
https://arxiv.org/abs/2510.00165 https://arxiv.org/pdf/25…

Privacy-Preserving Learning-Augmented Data Structures
Learning-augmented data structures use predicted frequency estimates to retrieve frequently occurring database elements faster than standard data structures. Recent work has developed data structures that optimally exploit these frequency estimates while maintaining robustness to adversarial prediction errors. However, the privacy and security implications of this setting remain largely unexplored. In the event of a security breach, data structures should reveal minimal information beyond the…

LinkedIn sues software company allegedly scraping data from millions of profiles https://therecord.media/linkedin-sues-data-scraping-company

Do you need better performance than what the standard #tidyverse functions have? {collapse} might be worth a look: https://sebkrantz.github.io/collapse/

Advanced and Fast Data Transformation in R
A large C/C++-based package for advanced data transformation and statistical computing in R that is extremely fast, class-agnostic, robust, and programmer friendly. Core functionality includes a rich set of S3 generic grouped and weighted statistical functions for vectors, matrices and data frames, which provide efficient low-level vectorizations, OpenMP multithreading, and skip missing values by default. These are integrated with fast grouping and ordering algorithms (also callable from C), an…

TabINR: An Implicit Neural Representation Framework for Tabular Data Imputation
Vincent Ochs, Florentin Bieder, Sidaty el Hadramy, Paul Friedrich, Stephanie Taha-Mehlitz, Anas Taha, Philippe C. Cattin
https://arxiv.org/abs/2510.01136

TabINR: An Implicit Neural Representation Framework for Tabular Data Imputation
Tabular data builds the basis for a wide range of applications, yet real-world datasets are frequently incomplete due to collection errors, privacy restrictions, or sensor failures. As missing values degrade the performance or hinder the applicability of downstream models, and while simple imputing strategies tend to introduce bias or distort the underlying data distribution, we require imputers that provide high-quality imputations, are robust across dataset sizes and yield fast inference. We …

https://www.polskieradio.pl/395/7786/artykul/3602083,poland-hit-by-another-major-cyberattack-as-hackers-steal-users’-data-from-loan-platform
Poland hit by another major cy…

Poland hit by another major cyberattack as hackers steal users’ data from loan platform
Polish authorities are investigating a large-scale cyberattack that compromised personal data belonging to clients of SuperGrosz, an online loan platform operated by AIQLABS, Deputy Prime Minister and Minister for Digital Affairs Krzysztof Gawkowski confirmed on Sunday, 2 November 2025.

Structuring Automotive Data for Systems Engineering: A Taxonomy-Based Approach
Carl Philipp Hohl, Philipp Reis, Tobias Sch\"urmann, Stefan Otten, Eric Sax
https://arxiv.org/abs/2510.00963

Structuring Automotive Data for Systems Engineering: A Taxonomy-Based Approach
Vehicle data is essential for advancing data-driven development throughout the automotive lifecycle, including requirements engineering, design, verification, and validation, and post-deployment optimization. Developers currently collect data in a decentralized and fragmented manner across simulations, test benches, and real-world driving, resulting in data silos, inconsistent formats, and limited interoperability. This leads to redundant efforts, inefficient integration, and suboptimal use of …

Trump Administration Snubs States Asking Why the DOJ Wants Their Voter Data (Jim Saksa/Democracy Docket)
https://www.democracydocket.com/news-alerts/trump-administration-snubs-states-asking-why-the-doj-wants-their-voter-data/
http://www.memeorandum.com/251202/p118#a251202p118

Unveiling Interesting Insights: Monte Carlo Tree Search for Knowledge Discovery
Pietro Totis, Alberto Pozanco, Daniel Borrajo
https://arxiv.org/abs/2510.00876 https://

Unveiling Interesting Insights: Monte Carlo Tree Search for Knowledge Discovery
Organizations are increasingly focused on leveraging data from their processes to gain insights and drive decision-making. However, converting this data into actionable knowledge remains a difficult and time-consuming task. There is often a gap between the volume of data collected and the ability to process and understand it, which automated knowledge discovery aims to fill. Automated knowledge discovery involves complex open problems, including effectively navigating data, building models to e…

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption
Moontaha Nishat Chowdhury, Andr\'e Bauer, Minxuan Zhou
https://arxiv.org/abs/2509.03024

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption
In today's data-driven world, recommendation systems personalize user experiences across industries but rely on sensitive data, raising privacy concerns. Fully homomorphic encryption (FHE) can secure these systems, but a significant challenge in applying FHE to recommendation systems is efficiently handling the inherently large and sparse user-item rating matrices. FHE operations are computationally intensive, and naively processing various sparse matrices in recommendation systems would be pro…

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

How can the use of different modes of survey data collection introduce bias? A simple introduction to mode effects using directed acyclic graphs (DAGs)
Georgia D Tomova, Richard J Silverwood, Peter WG Tennant, Liam Wright
https://arxiv.org/abs/2510.00900

How can the use of different modes of survey data collection introduce bias? A simple introduction to mode effects using directed acyclic graphs (DAGs)
Survey data are self-reported data collected directly from respondents by a questionnaire or an interview and are commonly used in epidemiology. Such data are traditionally collected via a single mode (e.g. face-to-face interview alone), but use of mixed-mode designs (e.g. offering face-to-face interview or online survey) has become more common. This introduces two key challenges. First, individuals may respond differently to the same question depending on the mode; these differences due to mea…

“My expectation is that within 10 years,
almost all new data centers will be built in space
purely because of the constraint that we’re facing on energy terrestrially”
https://spectrum.ieee.org/nvidia-h100-space?share_id=9034975

NVIDIA's H100 GPU Takes AI Processing to Space
Could space-based data centers be the answer to Earth's energy and cooling challenges? NVIDIA's H100 GPU is leading the charge in orbit.

STRive: An association rule-based system for the exploration of spatiotemporal categorical data
Mauro Diaz, Luis Sante, Joel Perca, Jo\~ao Victor da Silva, Nivan Ferreira, Jorge Poco
https://arxiv.org/abs/2509.02732

STRive: An association rule-based system for the exploration of spatiotemporal categorical data
Effectively analyzing spatiotemporal data plays a central role in understanding real-world phenomena and informing decision-making. Capturing the interaction between spatial and temporal dimensions also helps explain the underlying structure of the data. However, most datasets do not reveal attribute relationships, requiring additional algorithms to extract meaningful patterns. Existing visualization tools often focus either on attribute relationships or spatiotemporal analysis, but rarely supp…

Equivariant Splitting: Self-supervised learning from incomplete data
Victor Sechaud, J\'er\'emy Scanvic, Quentin Barth\'elemy, Patrice Abry, Juli\'an Tachella
https://arxiv.org/abs/2510.00929

Equivariant Splitting: Self-supervised learning from incomplete data
Self-supervised learning for inverse problems allows to train a reconstruction network from noise and/or incomplete data alone. These methods have the potential of enabling learning-based solutions when obtaining ground-truth references for training is expensive or even impossible. In this paper, we propose a new self-supervised learning strategy devised for the challenging setting where measurements are observed via a single incomplete observation model. We introduce a new definition of equiva…

SCRIBES: Web-Scale Script-Based Semi-Structured Data Extraction with Reinforcement Learning
Shicheng Liu, Kai Sun, Lisheng Fu, Xilun Chen, Xinyuan Zhang, Zhaojiang Lin, Rulin Shao, Yue Liu, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
https://arxiv.org/abs/2510.01832

SCRIBES: Web-Scale Script-Based Semi-Structured Data Extraction with Reinforcement Learning
Semi-structured content in HTML tables, lists, and infoboxes accounts for a substantial share of factual data on the web, yet the formatting complicates usage, and reliably extracting structured information from them remains challenging. Existing methods either lack generalization or are resource-intensive due to per-page LLM inference. In this paper, we introduce SCRIBES (SCRIpt-Based Semi-Structured Content Extraction at Web-Scale), a novel reinforcement learning framework that leverages layo…

A look at VideoAmp, which claims ad spending based on its data rose from $300M annually to $3B over the past three years, and is considered a real Nielsen rival (Matt Craig/Forbes)
http://www.forbes.com/sites/mattcraig/2025/10/30…

Why VideoAmp Thinks It Can Bust Nielsen’s TV Ratings Monopoly
With viewership data underpinning $60 billion in television advertising, an industry behemoth is suddenly facing questions about whether it is “bringing an abacus to an AI fight.”

Uber acquihires Belgian data labeling startup Segments.ai to expand its lidar data labeling capabilities; its founders and staff will join Uber AI Solutions (Natalie Lung/Bloomberg)
https://www.bloomberg.com/news/articles/2025-10…

Japanese retailer Askul confirms data leak after cyberattack claimed by Russia-linked group https://therecord.media/askul-confirms-data-breach-ransomware-incident

https://www.bloomberg.com/news/articles/2025-10-02/cyber-group-extorting-executives-with-claims-of-stolen-data
Hackers Extort Executives After Claiming Oracle Apps Breach

Hackers Extort Executives After Claiming Oracle Apps Breach
Executives and technology departments at large organizations are being extorted by a notorious ransomware group that claims to have stolen their data from a suite of popular Oracle Corp. applications.

Are LLMs ready to help non-expert users to make charts of official statistics data?
Gadir Suleymanli, Alexander Rogiers, Lucas Lageweg, Jefrey Lijffijt
https://arxiv.org/abs/2510.01197

Are LLMs ready to help non-expert users to make charts of official statistics data?
In this time when biased information, deep fakes, and propaganda proliferate, the accessibility of reliable data sources is more important than ever. National statistical institutes provide curated data that contain quantitative information on a wide range of topics. However, that information is typically spread across many tables and the plain numbers may be arduous to process. Hence, this open data may be practically inaccessible. We ask the question "Are current Generative AI models capable …

Managing Correlations in Data and Privacy Demand
Syomantak Chaudhuri, Thomas A. Courtade
https://arxiv.org/abs/2509.02856 https://arxiv.org/pdf/2509.02856

Managing Correlations in Data and Privacy Demand
Previous works in the differential privacy literature that allow users to choose their privacy levels typically operate under the heterogeneous differential privacy (HDP) framework with the simplifying assumption that user data and privacy levels are not correlated. Firstly, we demonstrate that the standard HDP framework falls short when user data and privacy demands are allowed to be correlated. Secondly, to address this shortcoming, we propose an alternate framework, Add-remove Heterogeneous …

citeseer: CiteSeer citations (2014)
Citations among papers indexed by the CiteSeer digital library. If a paper i cites a paper j also in this data set, then a directed edge connects i to j. (Papers not in the data set are excluded.) Self-loops may be present.
This network has 384413 nodes and 1751463 edges.
Tags: Informational, Citation, Unweighted

Scalable Asynchronous Federated Modeling for Spatial Data
Jianwei Shi, Sameh Abdulah, Ying Sun, Marc G. Genton
https://arxiv.org/abs/2510.01771 https://arx…

Scalable Asynchronous Federated Modeling for Spatial Data
Spatial data are central to applications such as environmental monitoring and urban planning, but are often distributed across devices where privacy and communication constraints limit direct sharing. Federated modeling offers a practical solution that preserves data privacy while enabling global modeling across distributed data sources. For instance, environmental sensor networks are privacy- and bandwidth-constrained, motivating federated spatial modeling that shares only privacy-preserving s…

Arizona AG Kris Mayes sues Temu for allegedly stealing customers' data, including their physical location, and counterfeiting local brands (Sejal Govindarao/Associated Press)
https://apnews.com/article/arizona-temu-lawsuit-14615cec4bb7927493a7208f9d23431b…

Arizona targets Chinese retailer Temu in data privacy lawsuit
Arizona Attorney General Kris Mayes is suing online retailer Temu and its parent company PDD Holdings Inc., claiming the Chinese company is stealing customers' data and violating state consumer protection laws. She announced the lawsuit during a news conference Tuesday. Arkansas, Nebraska and Kentucky have outlined similar allegations in separate lawsuits filed in those states. Mayes is calling for Arizonans to delete their Temu accounts and scan their devices for malware.

Robust Data-Driven Control for Nonlinear Systems Using their Digital Twins and Quadratic Funnels
Shiva Shakeri, Mehran Mesbahi
https://arxiv.org/abs/2510.01406 https://

Robust Data-Driven Control for Nonlinear Systems Using their Digital Twins and Quadratic Funnels
This paper examines a robust data-driven approach for the safe deployment of systems with nonlinear dynamics using their imperfect digital twins. Our contribution involves proposing a method that fuses the digital twin's nominal trajectory with online, data-driven uncertainty quantification to synthesize robust tracking controllers. Specifically, we derive data-driven bounds to capture the deviations of the actual system from its prescribed nominal trajectory informed via its digital twin. Subs…

AI in data science education: experiences from the classroom
J. A. Hageman, C. F. W. Peeters
https://arxiv.org/abs/2510.00793 https://arxiv.org/pdf/2510.00…

AI in data science education: experiences from the classroom
This study explores the integration of AI, particularly large language models (LLMs) like ChatGPT, into educational settings, focusing on the implications for teaching and learning. Through interviews with course coordinators from data science courses at Wageningen University, this research identifies both the benefits and challenges associated with AI in the classroom. While AI tools can streamline tasks and enhance learning, concerns arise regarding students' overreliance on these technologie…

#SciX makes research more efficient by linking data, code, and publications, so findings can be tested, trusted, and built on faster. More reproducible science, less wasted effort, more discoveries. #OpenScience #ResearchIntegrity

Science Explorer (SciX) (@scixcommunity.bsky.social)
#SciX makes research more efficient by linking data, code, and publications, so findings can be tested, trusted, and built on faster. More reproducible science, less wasted effort, more discoveries. #OpenScience #ResearchIntegrity #ReproducibleResearch #EfficientResearchWorkflows

Looks like a threat actor got massive and wide-scale access to UPenn systems.
The threat actor behind the attack contacted BleepingComputer, claiming the intrusion was far broader and that they had gained access to multiple university systems.
https://www.

Penn hacker claims to have stolen 1.2 million donor records in data breach
A hacker has taken responsibility for last week's University of Pennsylvania "We got hacked" email incident, saying it was a far more extensive breach that exposed data on 1.2 million donors and internal documents.

TOUCAN: Synthesizing 1.5M Tool-Agentic Data from Real-World MCP Environments
Zhangchen Xu, Adriana Meza Soria, Shawn Tan, Anurag Roy, Ashish Sunil Agrawal, Radha Poovendran, Rameswar Panda
https://arxiv.org/abs/2510.01179

TOUCAN: Synthesizing 1.5M Tool-Agentic Data from Real-World MCP Environments
Large Language Model (LLM) agents are rapidly emerging as powerful systems for automating tasks across domains. Yet progress in the open-source community is constrained by the lack of high quality permissively licensed tool-agentic training data. Existing datasets are often limited in diversity, realism, and complexity, particularly regarding multi-tool and multi-turn interactions. To address this gap, we introduce Toucan, the largest publicly available tool-agentic dataset to date, containing …

Discrete Facial Encoding: : A Framework for Data-driven Facial Display Discovery
Minh Tran, Maksim Siniukov, Zhangyu Jin, Mohammad Soleymani
https://arxiv.org/abs/2510.01662 htt…

Discrete Facial Encoding: : A Framework for Data-driven Facial Display Discovery
Facial expression analysis is central to understanding human behavior, yet existing coding systems such as the Facial Action Coding System (FACS) are constrained by limited coverage and costly manual annotation. In this work, we introduce Discrete Facial Encoding (DFE), an unsupervised, data-driven alternative of compact and interpretable dictionary of facial expressions from 3D mesh sequences learned through a Residual Vector Quantized Variational Autoencoder (RVQ-VAE). Our approach first extr…

Highlight a certain aspect of your data in ggplot: #rstats #dataviz

Cybercriminals are trying to extort executives with data allegedly stolen through Oracle tool https://therecord.media/possible-clop-campaign-extortion-executives-stolen-data

Data Melodification FM: Where Musical Rhetoric Meets Sonification
Ke Er Amy Zhang, David Grellscheid, Laura Garrison
https://arxiv.org/abs/2510.00222 https://

Data Melodification FM: Where Musical Rhetoric Meets Sonification
We propose a design space for data melodification, where standard visualization idioms and fundamental data characteristics map to rhetorical devices of music for a more affective experience of data. Traditional data sonification transforms data into sound by mapping it to different parameters such as pitch, volume, and duration. Often and regrettably, this mapping leaves behind melody, harmony, rhythm and other musical devices that compose the centuries-long persuasive and expressive power of …

Moonlake AI, which creates tools to "vibe code virtual worlds", including for gaming, animation, and filmmaking, comes out of stealth with a $28M seed (Rashi Shrivastava/Forbes)
https://www.forbes.com/sites/rashishrivast

Gaming Worlds Could Be The Answer To AI’s Data Problem
Stanford PhDs Fan-Yun Sun and Sharon Lee cofounded AI research company Moonlake AI to help people "vibe code virtual worlds."

Thinkquel: A Model Dedicated to Text-to-dbt Using Synthetic Data and a Span-Aware Objective
Anni Li, Aria Attar, Paul Dong
https://arxiv.org/abs/2510.00186 https://

Thinkquel: A Model Dedicated to Text-to-dbt Using Synthetic Data and a Span-Aware Objective
Transforming natural-language requests into reliable, production-ready data transformations remains challenging: correctness depends on precise schema linking and warehouse-specific SQL dialects, while the strongest supervision available during training--execution success and result matching--are provided only at the sequence level. At the same time, assembling large, execution-validated corpora is costly, and token-level objectives misalign with these global signals, yielding unstable optimiza…

China offers tech giants cheap power to boost domestic AI chips
Beijing introduces grants that slash power bills by up to half for some of the country’s largest data centres
https://www.ft.com/content/cad2cdd6-7cce-4de3-8710-977de667378c

China offers tech giants cheap power to boost domestic AI chips
Beijing introduces grants that slash energy bills by up to half for some of country’s largest data centres

The US DOJ has indicted two Virginia brothers, Muneeb and Sohaib Akhter, for allegedly deleting 96 US government databases while working as Opexus contractors (Sam Sabin/Axios)
https://www.axios.com/2025/12/03/virgina-twins-doj-arrest-opexus-data-breaches

Virginia brothers arrested for allegedly tampering with government databases
The brothers worked for a contractor and previously pled guilty for hacking into the State Department.

Prosperity before Collapse: How Far Can Off-Policy RL Reach with Stale Data on LLMs?
Haizhong Zheng, Jiawei Zhao, Bedi Chen
https://arxiv.org/abs/2510.01161 https://

Prosperity before Collapse: How Far Can Off-Policy RL Reach with Stale Data on LLMs?
Reinforcement learning has been central to recent advances in large language model reasoning, but most algorithms rely on on-policy training that demands fresh rollouts at every update, limiting efficiency and scalability. Asynchronous RL systems alleviate this by decoupling rollout generation from training, yet their effectiveness hinges on tolerating large staleness in rollout data, a setting where existing methods either degrade in performance or collapse. We revisit this challenge and uncov…

POVQA: Preference-Optimized Video Question Answering with Rationales for Data Efficiency
Ashim Dahal, Ankit Ghimire, Saydul Akbar Murad, Nick Rahimi
https://arxiv.org/abs/2510.01009

POVQA: Preference-Optimized Video Question Answering with Rationales for Data Efficiency
Video Question Answering (VQA) with Large Vision Language Models (LVLMs) has gained significant traction in research ever since the Flamingo was introduced by Deepmind. Recent advancements in large context/long video question answering have allowed VQA tasks to have context window of 1500+ frames. However, this only leads to 50 seconds of video footage without losing any significant information. We introduce POVQA, a data-efficient pipeline that compresses each second of video into a single tem…

So much happened over the weekend, so check out today's Metacurity for the most critical infosec developments you might have missed, including
--Hackers who stole trove of sensitive UPenn data derides 'dog**** elitist institution',
--LLM giants are trying to stop indirect prompt injection attacks,
--Oz government warns of Cisco IOS XE flaws,
--Polish authorities probe cyberattack on online loan platform,
--Chinese President Xi Jinping joked about smar…

Hackers who stole trove of sensitive UPenn data derides 'dog**** elitist institution'
LLM giants are trying to stop indirect prompt injection attacks, Oz government warns of Cisco IOS XE flaws, Polish authorities probe cyberattack on online loan platform, Chinese President Xi Jinping joked about smartphone backdoors, Shiba Inu implements massive security upgrade, much more

EU’s top court rules that online marketplaces are responsible for processing of data in ads https://therecord.media/eu-top-court-rules-online-marketplaces-responsible-for-data-processing-ads

https://www.azernews.az/region/249665.html
Pro-Russian hacking groups KillNet and Beregini said they had obtained data from several large Ukrainian companies, including defense-sector firms,

Pro-Russian hackers claim data haul from Ukrainian defense firms
Pro-Russian hacking groups KillNet and Beregini said Friday that they had obtained data from several large Ukrainian companies, including defense-sector firms, Azernews reports, citing a KillNet representative who spoke to RIA Novosti.

Robust Tangent Space Estimation via Laplacian Eigenvector Gradient Orthogonalization
Dhruv Kohli, Sawyer J. Robertson, Gal Mishne, Alexander Cloninger
https://arxiv.org/abs/2510.02308

Robust Tangent Space Estimation via Laplacian Eigenvector Gradient Orthogonalization
Estimating the tangent spaces of a data manifold is a fundamental problem in data analysis. The standard approach, Local Principal Component Analysis (LPCA), struggles in high-noise settings due to a critical trade-off in choosing the neighborhood size. Selecting an optimal size requires prior knowledge of the geometric and noise characteristics of the data that are often unavailable. In this paper, we propose a spectral method, Laplacian Eigenvector Gradient Orthogonalization (LEGO), that util…

Copper demand is being boosted by AI data centers, which require 27-33 tonnes per MW, over 2x that of conventional data centers, according to miner Grupo México (Camilla Hodgson/Financial Times)

Metacurity is back from a Thanksgiving holiday break with an extensive run-down of the critical cybersecurity developments since last Monday, including
--Some ChatGPT customer data was exposed by a breach at vendor Mixpanel,
--Lazarus Group suspected of $30.6m breach of Upbit,
--Korea's shopping platform Coupang hacked by a former insider to access 30m customers' data,
--Lazarus Group and Kimsuky are DPRK's most prolific hackers,
--Korea arrests four …

Some ChatGPT customers' data were exposed by a breach at vendor Mixpanel
Lazarus Group suspected of $30.6m breach of Upbit, Korea's shopping platform Coupang hacked by a former insider to access 30m customers' data, Lazarus Group and Kimsuky are DPRK's most prolific hackers, Korea arrests four for hacking 120K IP cameras, OnSolve CodeRED platform hit by attack, much more

US and Israeli cloud data management startup Eon raised $300M led by Gil at a $4B valuation, up from $1.4B in November 2024, taking its total funding to $500M (Krystal Hu/Reuters)
https://www.reuters.com/business/cloud-data…

Wikimedia Deutschland launches the Wikidata Embedding Project, a vector-based semantic search database with nearly 120M entries, to make data accessible to AI (Russell Brandom/TechCrunch)
https://techcrunch.com/2025/10/01/new-project-makes-wikipedia-…

New project makes Wikipedia data more accessible to AI | TechCrunch
A new database will make Wikipedia's wealth of knowledge more accessible to AI models.

Lapsus$ publishes a data leak site on the dark web threatening to release about ~1B records stolen from Salesforce-hosted customer databases (TechCrunch)
https://techcrunch.com/2025/10/03/hacking-group-claims-theft-of-1-bi…

Hacking group claims theft of 1 billion records from Salesforce customer databases | TechCrunch
The hacking group claims to have stolen about a billion records from companies, including FedEx, Qantas, and TransUnion, who store their customer and company data in Salesforce.

Pres.Lee Jae Myung ordered a swift investigation Tuesday into the massive data breach at e-commerce giant Coupang and signaled that his administration may seek punitive damages to prevent similar lapses, calling the incident “astonishing” in scale and negligence.
https://www.koreaherald.com/article/106280

President orders probe into Coupang breach - The Korea Herald
President Lee Jae Myung ordered a swift investigation Tuesday into the massive data breach at e-commerce giant Coupang and signaled that his administration may

TikTok plans to invest $37.7B to build a data center in Brazil's port of Pecém, partnering with Omnia and Casa dos Ventos, its first Latin American project (Bloomberg)
https://www.bloomberg.com/news/articles/2025-12-03/tikto…

Sources: BlackRock's GIP is in talks to buy Aligned, which operates 78 data centers across North and South America, in a deal that could value Aligned at ~$40B (Bloomberg)
https://www.bloomberg.com/news/articles/2025-10-0…

Indonesia suspends TikTok's local operating license, saying it failed to share complete livestream activity data during protests following a government request (Chandra Asmara/Bloomberg)
https://www.bloomberg.com/news/articles/20

Imgur blocks UK access after the ICO notified it of a possible fine over its handling of kids' data; the ICO calls Imgur's move a "commercial decision" (Ram Iyer/TechCrunch)
https://techcrunch.com/2025/09/30/imgur-pulls-out-of-uk…

Imgur pulls out of UK after data regulator warns of fines | TechCrunch
Imgur, one of the web's most popular image sharing and hosting platforms, has shut off access to its site in the U.K., following a notice of a fine by the country's data protection watchdog.