Tootfinder

ICEBlock, an app for reporting sightings of ICE officials, was the top free app in the US App Store on Tuesday; the app claims to collect no personal data (Emma Roth/The Verge)
https://www.theverge.com/news/696584/iceblock-tracking-app-white-house-…

ICE-tracking app tops App Store
ICEBlock, an app that lets users track and report sightings of Immigration and Customs Enforcement officials, reached the top of the App Store after receiving criticism from the Trump administration.

Even de naam vsn een van de personages van Paulus de boskabouter opzoeken.
personages Paulus de boskabouter – Qwant
https://www.qwant.com/
@…
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Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models
Dipam Goswami, Liying Wang, Bart{\l}omiej Twardowski, Joost van de Weijer
https://arxiv.org/abs/2506.00037

Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models
Text embedding models enable semantic search, powering several NLP applications like Retrieval Augmented Generation by efficient information retrieval (IR). However, text embedding models are commonly studied in scenarios where the training data is static, thus limiting its applications to dynamic scenarios where new training data emerges over time. IR methods generally encode a huge corpus of documents to low-dimensional embeddings and store them in a database index. During retrieval, a semant…

«I guess the main point is understand the data types you’re using. You wouldn’t use an 8-bit integer to handle values in the thousands, but it’s fine if the values stay under one hundred. The same rules apply to floating point. You just have to know how they work.»
https://fosstodon.org/@drdrang/1147627…

Generating Reliable Adverse event Profiles for Health through Automated Integrated Data (GRAPH-AID): A Semi-Automated Ontology Building Approach
Srikar Reddy Gadusu, Larry Callahan, Samir Lababidi, Arunasri Nishtala, Sophia Healey, Hande McGinty
https://arxiv.org/abs/2506.20851

Generating Reliable Adverse event Profiles for Health through Automated Integrated Data (GRAPH-AID): A Semi-Automated Ontology Building Approach
As data and knowledge expand rapidly, adopting systematic methodologies for ontology generation has become crucial. With the daily increases in data volumes and frequent content changes, the demand for databases to store and retrieve information for the creation of knowledge graphs has become increasingly urgent. The previously established Knowledge Acquisition and Representation Methodology (KNARM) outlines a systematic approach to address these challenges and create knowledge graphs. However,…

#Plex, stop! I only have so much popcorn to eat while I watch all these new changes play out🍿
https://lemmy.ml/post/30839839

Headlines like this really make me want to just give up (by which I mean move to one of those tiny offshore islands in the North Atlantic)
https://theconversation.com/ai-tools-collect-and-store-da…

AI tools collect and store data about you from all your devices – here’s how to be aware of what you’re revealing
AI tools that provide information to you also gather lots of information from you and may provide it to third parties.

Deepintodev.com reviews how modern database storage engines store, retrieve, and update database table rows on memory and disk. This serves as a foundation to understanding how indexes and clustered indexes work, the concerned data structures, and their use cases; these are reviewed as well.
"How Databases Store Your Tables on Disk"
…

Had ik jullie al verteld dat Quant best regelmatig met weinig resultaten al gelijk uitstekende resultaten voorschotelt?
Qwant - De [Franse] zoekmachine met respect voor uw privacy
#Quant

HARPT: A Corpus for Analyzing Consumers' Trust and Privacy Concerns in Mobile Health Apps
Timoteo Kelly, Abdulkadir Korkmaz, Samuel Mallet, Connor Souders, Sadra Aliakbarpour, Praveen Rao
https://arxiv.org/abs/2506.19268

HARPT: A Corpus for Analyzing Consumers' Trust and Privacy Concerns in Mobile Health Apps
We present HARPT, a large-scale annotated corpus of mobile health app store reviews aimed at advancing research in user privacy and trust. The dataset comprises over 480,000 user reviews labeled into seven categories that capture critical aspects of trust in applications, trust in providers and privacy concerns. Creating HARPT required addressing multiple complexities, such as defining a nuanced label schema, isolating relevant content from large volumes of noisy data, and designing an annotati…

Efficient Unified Caching for Accelerating Heterogeneous AI Workloads
Tianze Wang, Yifei Liu, Chen Chen, Pengfei Zuo, Jiawei Zhang, Qizhen Weng, Yin Chen, Zhenhua Han, Jieru Zhao, Quan Chen, Minyi Guo
https://arxiv.org/abs/2506.12370

Efficient Unified Caching for Accelerating Heterogeneous AI Workloads
Modern AI clusters, which host diverse workloads like data pre-processing, training and inference, often store the large-volume data in cloud storage and employ caching frameworks to facilitate remote data access. To avoid code-intrusion complexity and minimize cache space wastage, it is desirable to maintain a unified cache shared by all the workloads. However, existing cache management strategies, designed for specific workloads, struggle to handle the heterogeneous AI workloads in a cluster …

ok so I'm gathering some steam deck sales data to a LibreOfficeCalc...
Global Sale and country specific, let's see for how long I'll keep this up...
#tariffs #SteamDeck #Calc

Coinbase was hacked and lost 1000s of customers' name, address, phone, email, driver’s license, and passport info.
This is where the Orwellian "Know Your Customer" bullshit gets us. 1000s of companies store vast amounts of private data they aren't qualified to protect!

Öoo is a novel puzzle platformer where you can't jump, but you can bomb yourself around. Love the aesthetic and demo takes 15 min and has some great puzzles. It's from the developer of the much-lauded ElecHead.
Also has the funniest implementation of Clear Save Data I've ever seen.
https://store…

Öoo on Steam
A Bomb Caterpillar's Big Adventure! "Öoo" is a charming yet mysterious exploration puzzle platformer where you discover creative ways to use bombs!

This https://arxiv.org/abs/2506.04678 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDB_…

BVLSM: Write-Efficient LSM-Tree Storage via WAL-Time Key-Value Separation
Modern data-intensive applications increasingly store and process big-value items, such as multimedia objects and machine learning embeddings, which exacerbate storage inefficiencies in Log-Structured Merge-Tree (LSM)-based key-value stores. This paper presents BVLSM, a Write-Ahead Log (WAL)-time key-value separation mechanism designed to address three key challenges in LSM-Tree storage systems: write amplification, poor memory utilization, and I/O jitter under big-value workloads. Unlike state…

Öoo is a novel puzzle platformer where you can't jump, but you can bomb yourself around. Love the aesthetic and demo takes 15 min and has some great puzzles. It's from the developer of the much-lauded ElecHead.
Also has the funniest implementation of Clear Save Data I've ever seen.
https://store…

Extended Version of Paper Presented at ICISSP, Porto 20-22 February, 2025 A Value-Driven Approach to the Online Consent Conundrum -- A Study with the Unemployed
Paul van Schaik, Karen Renaud
https://arxiv.org/abs/2506.12244

Extended Version of Paper Presented at ICISSP, Porto 20-22 February, 2025 A Value-Driven Approach to the Online Consent Conundrum -- A Study with the Unemployed
Online services are required to gain informed consent from users to collect, store and analyse their personal data, both intentionally divulged and derived during their use of the service. There are many issues with these forms: they are too long, too complex and demand the user's attention too frequently. Many users consent without reading so do not know what they are agreeing to. As such,granted consent is effectively uninformed. In this paper, we report on two studies we carried out to arriv…

BVLSM: Write-Efficient LSM-Tree Storage via WAL-Time Key-Value Separation
Ming Li, Wendi Cheng, Jiahe Wei, Xueqiang Shan, Liu Weikai, Xiaonan Zhao, Xiao Zhang
https://arxiv.org/abs/2506.04678

BVLSM: Write-Efficient LSM-Tree Storage via WAL-Time Key-Value Separation
Modern data-intensive applications increasingly store and process big-value items, such as multimedia objects and machine learning embeddings, which exacerbate storage inefficiencies in Log-Structured Merge-Tree (LSM)-based key-value stores. This paper presents BVLSM, a Write-Ahead Log (WAL)-time key-value separation mechanism designed to address three key challenges in LSM-Tree storage systems: write amplification, poor memory utilization, and I/O jitter under big-value workloads. Unlike state…