Tootfinder

The most energetic transients - tidal disruptions of high-mass stars: #ExtremeNuclearTransients (ENTs) are the most energetic transients yet observed.

Analysis of Server Throughput For Managed Big Data Analytics Frameworks
Emmanouil Anagnostakis, Polyvios Pratikakis
https://arxiv.org/abs/2506.03854 https:…

Analysis of Server Throughput For Managed Big Data Analytics Frameworks
Managed big data frameworks, such as Apache Spark and Giraph demand a large amount of memory per core to process massive volume datasets effectively. The memory pressure that arises from the big data processing leads to high garbage collection (GC) overhead. Big data analytics frameworks attempt to remove this overhead by offloading objects to storage devices. At the same time, infrastructure providers, trying to address the same problem, attribute more memory to increase memory per instance le…

Tel Aviv-based Speedata, which is designing analytics processing units for big data workloads, raised a $44M Series B, aims to showcase its first APU this month (Kate Park/TechCrunch)
https://techcrunch.com/2025/06/03/speedata…

Speedata, a chip startup competing with Nvidia, raises a $44M Series B | TechCrunch
Speedata, a Tel Aviv-based startup developing an analytics processing unit (APU) designed to accelerate big data analytic and AI workloads, has raised a Founded by six researcher, Speedata wants to build the first-ever purpose-build chip designed specifically for big data workloads.

Any #SailfishOS users out here know how to make #StreetComplete usable again by either disabling the any-audio-interrupting plop sounds or teaching SailfishOS to just keep playing audio if another app makes sound?

Disabling Plop/Touch sounds in StreetComplete
StreetComplete is a very cool app that makes adding data to OpenStreetMap quite fun. However, on SailfishOS there is one thing that makes it super annoying to use: Whenever one fulfils a task / answers a question, the icon vanishes with a PLOP sound, which then stops any other audio such ss the Sailfish media player. This effectively prevents listening to music or an audiobook during mapping which is indescribably annoying. Some links: from my post: A couple of other people having big probl…

Integrating Expert Knowledge and Recursive Bayesian Inference: A Framework for Spatial and Spatio-Temporal Data Challenges
Mario Figueira, David Conesa, Antonio L\'opez-Qu\'ilez, H{\aa}vard Rue
https://arxiv.org/abs/2506.00221

Integrating Expert Knowledge and Recursive Bayesian Inference: A Framework for Spatial and Spatio-Temporal Data Challenges
Expert elicitation is a critical approach for addressing data scarcity across various disciplines. But moreover, it can also complement big data analytics by mitigating the limitations of observational data, such as incompleteness and reliability issues, thereby enhancing model estimates through the integration of disparate or conflicting data sources. The paper also outlines various strategies for integrating prior information within the Integrated Nested Laplace Approximation method and propo…

Big Data-Driven Fraud Detection Using Machine Learning and Real-Time Stream Processing
Chen Liu, Hengyu Tang, Zhixiao Yang, Ke Zhou, Sangwhan Cha
https://arxiv.org/abs/2506.02008 …

Big Data-Driven Fraud Detection Using Machine Learning and Real-Time Stream Processing
In the age of digital finance, detecting fraudulent transactions and money laundering is critical for financial institutions. This paper presents a scalable and efficient solution using Big Data tools and machine learning models. We utilize realtime data streaming platforms like Apache Kafka and Flink, distributed processing frameworks such as Apache Spark, and cloud storage services AWS S3 and RDS. A synthetic dataset representing real-world Anti-Money Laundering (AML) challenges is employed t…

This https://arxiv.org/abs/2110.06506 has been replaced.
link: https://scholar.google.com/scholar?q=a

Network analysis using Forman curvature and Shapley values on hypergraphs
In recent years, network models have become more complex with the development of big data. Therefore, more advanced network analysis is required. In this paper, we introduce a new quantitative measure named combinatorial evaluation, which combines the discrete geometry concept of Forman Ricci curvature and the game theory concept of the Shapley value. We elucidated the characteristics of combinatorial evaluation by proving several properties of this indicator. Furthermore, we demonstrated the u…

Trustworthy Provenance for Big Data Science: a Modular Architecture Leveraging Blockchain in Federated Settings
Nicola Giuseppe Marchioro, Yannis Velegrakis, Valentine Anantharaj, Ian Foster, Sandro Luigi Fiore
https://arxiv.org/abs/2505.24675

Trustworthy Provenance for Big Data Science: a Modular Architecture Leveraging Blockchain in Federated Settings
Ensuring the trustworthiness and long-term verifiability of scientific data is a foundational challenge in the era of data-intensive, collaborative research. Provenance metadata plays a key role in this context, capturing the origin, transformation, and usage of research artifacts. However, existing solutions often fall short when applied to distributed, multi-institutional settings. This paper introduces a modular, domain-agnostic architecture for provenance tracking in federated environments,…

This https://arxiv.org/abs/2411.16505 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Pre-Big-Bang Cosmology Cannot Explain NANOGrav 15-year Signal
We investigate whether the Pre-Big Bang (PBB) scenario from string cosmology can explain the stochastic gravitational wave background signal reported in the NANOGrav 15-year dataset. Using Bayesian analysis techniques, we constrain the key parameters of the PBB model by comparing its theoretical predictions with the observed data. Our analysis yields $β= -0.12^{+0.06}_{-0.21}$ ($90\%$ credible interval) for the dilaton-dynamics parameter, which lies outside the theoretically allowed range $0 \…

We need to stop reasoning about AI like this. Every time it can do something amazing it's "well that's just because its training data is so big, everything is bound to be in there."
Then, when it shows some limitation, it's "Well that's because it must not be in the training data".
It can show a shark jumping out of the moon through a computer screen. It can generate stuff that's not in the data. Also, hands counting down are obviously in t…

This https://arxiv.org/abs/2506.01848 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Identifying Key Expert Actors in Cybercrime Forums Based on their Technical Expertise
The advent of Big Data has made the collection and analysis of cyber threat intelligence challenging due to its volume, leading research to focus on identifying key threat actors; yet these studies have failed to consider the technical expertise of these actors. Expertise, especially towards specific attack patterns, is crucial for cybercrime intelligence, as it focuses on targeting actors with the knowledge and skills to attack enterprises. Using CVEs and CAPEC classifications to build a bimod…

Amendments to the Montana Consumer Data Privacy Act Bring Big Changes to Big Sky Country
https://fpf.org/blog/amendments-to-the-montana-consumer-data-privacy-act-bring-big-changes-to-big-sky-country/

Digitale Souveränität – Mein pragmatischer Weg raus aus Big Data http://www.mrak.at/2025/05/28/digitale-souveraenitaet-mein-pragmatischer-weg-raus-aus-big-data/

CityPulse: Real-Time Traffic Data Analytics and Congestion Prediction
Idriss Djiofack Teledjieu, Irzum Shafique
https://arxiv.org/abs/2506.01971 https://…

CityPulse: Real-Time Traffic Data Analytics and Congestion Prediction
CityPulse is a proof-of-concept big data pipeline designed to enable real-time urban mobility analytics using scalable, containerized components -- without reliance on physical sensor infrastructure. The system simulates the ingestion of 11 million traffic-related records representing urban phenomena such as vehicle congestion, GPS coordinates, and weather conditions. Data is ingested through a Dockerized Apache Kafka cluster, coordinated by ZooKeeper, and processed in real time using Apache Sp…

Insight into the origin of multiwavelength emissions of PKS 1510-089 through modeling 12 SEDs from 2008 to 2015
Maichang Lei, Yuan Zheng, Jianfu Zhang, Yuhai Yuan, Jiancheng Wang
https://arxiv.org/abs/2506.02500

Insight into the origin of multiwavelength emissions of PKS 1510-089 through modeling 12 SEDs from 2008 to 2015
PKS\,1510$-$089 is one of the most peculiar sources among the FSRQs, exhibiting a notable big blue bump (BBB). This provides an unique opportunity to explore the coupling between the activity of the central engine and the relativistic jet, offering further insight into the origin of the multiwavelength emissions. To this end, we collected multiwavelength data spanning four periods from 2008 to 2015 and performed the spectral energy distribution (SED) modeling using a one-zone homogeneous lepton…

This https://arxiv.org/abs/2408.05846 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNE_…

A Universal Flexible Neuromorphic Tactile System with Multithreshold Strategy
Extremely increased unstructured data brought by the large-scale intelligent sensing devices application have big challenges not only in data storing and processing but also power consumption surging. Therefore, to improve energy efficiency and processing speed, a new generation system structure and construction strategy is necessary. Most biological nervous systems, especially the tactile system, have a good flexibility and data processing performance with low power usage. Inspired from this m…

This https://arxiv.org/abs/2504.05003 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_nuc…

The role of the screening potential in the deuteron-deuteron thermonuclear reaction rates
The deuteron-deuteron (D-D) thermonuclear reaction rates in metallic environments (considering the electron screening effects) is calculated using the S-factor functions which were obtained by fitting to low-energy data on D-D reactions. For this purpose, a fitted S-factor model based on the NACRE compilation is employed. This limited the energy range of Big Bang nucleosynthesis (BBN) for the $ ^{2}\textrm{H}\left(d,p\right) ^{3}\textrm{H}$ and $^{2} \textrm{H} \left(d,n\right) ^{3}\t…

This https://arxiv.org/abs/2408.05846 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNE_…

A Universal Flexible Neuromorphic Tactile System with Multithreshold Strategy
Extremely increased unstructured data brought by the large-scale intelligent sensing devices application have big challenges not only in data storing and processing but also power consumption surging. Therefore, to improve energy efficiency and processing speed, a new generation system structure and construction strategy is necessary. Most biological nervous systems, especially the tactile system, have a good flexibility and data processing performance with low power usage. Inspired from this m…