Tootfinder

Iranian Cyber Actors May Target Vulnerable US Networks and Entities of Interest (CISA)
https://www.cisa.gov/resources-tools/resources/iranian-cyber-actors-may-target-vulnerable-us-networks-and-entities-interest
http://www.memeorandum.com/250630/p72#a250630p72

Ich bin kein #Prepper, jedenfalls bisher nicht. Aber diesen Ansatz zu sanftem #Preppen finde ich in Zeiten der tiefen Umbrüche bedenkenswert:
#SanftesPreppen
"Es ist Preppen, aber n…

Gentle Prepperism: A Roundup of Resources + Tips for Navigating the Next Era
In a world that feels increasingly uncertain, it’s easy to ping-pong between panic and paralysis. But there’s another way: Gentle Prepperism.

Another CEO got killed? That’s awful, all they did was guide the use of resources to make the world a better place. They helped not only shareholders, but employees and everyone else have a better life and a great chance to have basics like shelter more easily. Right? Who would do that.
#USpol

november17: November17 members (2009)
A network representing connections among members of the November 17 (N17) Greek terrorist group. Nodes are members, and an edge exists if two members have some connection in the past. Metadata include role, function, resources. Some attributes are missing.
This network has 22 nodes and 66 edges.
Tags: Social, Offline, Unweighted, Metadata

OpenAI is expanding its consulting-like service to refine its models and build bespoke apps for large enterprise and government clients spending at least $10M (The Information)
https://www.theinformation.com/articles/openai-takes-page…

OpenAI Takes a Page From Palantir, Doubles Down on Consulting Services
As OpenAI pitches its artificial intelligence to big companies and government agencies, it’s taking a page from the playbook of many software firms by offeringin-house researchers and software engineers to customize AI for customers. OpenAI is adding staff and resources for a consulting-like ...

Ahead of a vote on Republicans’ budget reconciliation package expected as soon as noon Saturday,
U.S. Senate Committee on Energy and Natural Resources Chair Mike Lee revived his effort to sell off public lands.
Senate Parliamentarian Elizabeth MacDonough has blocked multiple provisions of the GOP megabill,
including several under the jurisdiction of the Utah Republican’s panel.
Among them is his attack on public lands.
“Here we go again,” Sen. Ron Wyden (D-Ore.) …

Mike Lee Tries to Sneak Public Land Sale Back Into 'Big, Ugly Bill' Ahead of Senate Vote | Common Dreams
Ahead of an expected vote on Republicans' budget reconciliation package, U.S. Senate Committee on Energy and Natural Resources Chair Mike Lee revived his effort to sell off public lands.

from my link log —
Tony Hoare on record handling. (1966)
https://archive.computerhistory.org/resources/text/Knuth_Don_X4100/PDF_index/k-9-pdf/k-9-u2293-Record-Handling-Hoare.pdf
saved 2…

GlideinBenchmark: collecting resource information to optimize provisioning
Marco Mambelli, Shrijan Swaminathan
https://arxiv.org/abs/2507.21472 https://arx…

GlideinBenchmark: collecting resource information to optimize provisioning
Choosing the right resource can speed up job completion, better utilize the available hardware, and visibly reduce costs, especially when renting computers in the cloud. This was demonstrated in earlier studies on HEPCloud. However, the benchmarking of the resources proved to be a laborious and time-consuming process. This paper presents GlideinBenchmark, a new Web application leveraging the pilot infrastructure of GlideinWMS to benchmark resources, and it shows how to use the data collected an…

"Earth Overshoot Day creeps forward due to human exploitation of natural resources"
#EarthOverShootDay #Environment

🚚 Move your #Azure resources across subscriptions or resource groups—without downtime!
Use CLI, PowerShell, Python, or REST API to stay flexible and in control. ⚙️📦 Just update those resource IDs! #CloudManagement
Learn more:

Age of Estimates: When to Submit Jobs to a Markov Machine to Maximize Revenue
Sahan Liyanaarachchi, Sennur Ulukus
https://arxiv.org/abs/2507.22865 https://…

Age of Estimates: When to Submit Jobs to a Markov Machine to Maximize Revenue
With the dawn of AI factories ushering a new era of computing supremacy, development of strategies to effectively track and utilize the available computing resources is garnering utmost importance. These computing resources are often modeled as Markov sources, which oscillate between free and busy states, depending on their internal load and external utilization, and are commonly referred to as Markov machines (MMs). Most of the prior work solely focuses on the problem of tracking these MMs, wh…

FERC’s Christie calls for dispatchable resources after grid operators come ‘close to the edge’ | Utility Dive
https://www.utilitydive.com/news/ferc-christie-dispatchable-resources-heat-wave-pjm-miso-iso-ne/751821/

Reducing the complexity of computing the values of a Nash equilibrium
Debtoru Chatterjee, Girish Tiwari, Niladri Chatterjee
https://arxiv.org/abs/2507.22819 https://

Reducing the complexity of computing the values of a Nash equilibrium
The Colonel Blotto game, formulated by Emile Borel, involves players allocating limited resources to multiple battlefields simultaneously, with the winner being the one who allocates more resources to each battlefield. Computation of the Nash equilibrium, including of two person, zero sum, mixed strategy Colonel Blotto games have encountered issues of scalability and complexity owing to their PPAD completeness. This paper proposes an algorithm that computes the same value as the Nash equilibriu…

Labour government running that line between "there's not enough available resources to support immigrants" and "it's critical for the country to have babies that won't be economically productive for many years".
(An apparent dichotomy I imagine there's a non-racist reason for. And to be fair, despite the headlines, they haven't gone full national-natalist, just suggesting making it easier for people to start families.)

Have more children, says Bridget Phillipson
Education Secretary warns Britons of ‘worrying repercussions’ of falling birth rate

DAPFAM: A Domain-Aware Patent Retrieval Dataset Aggregated at the Family Level
Iliass Ayaou (ICube), Denis Cavallucci (ICube), Hicham Chibane (ICube)
https://arxiv.org/abs/2506.22141

DAPFAM: A Domain-Aware Patent Retrieval Dataset Aggregated at the Family Level
In the landscape of publicly available patent retrieval datasets, the need for explicit indomain and out-of-domain labeling, multi-jurisdiction coverage, balanced query domain representation and manageable sizes that support sub document level experiments on moderate computational resources is often overlooked. To address these gaps, we propose DAPFAM, a new open access domain-aware patent retrieval dataset constructed at the simple-family level. The dataset contains 1,247 domain balanced full …

Spending whole afternoon tinkering with Lemonbar.
I was tired from tint2 and I wanted a new fresh air on my desktop bar.
I decanted to lemonbar instead polybar due the minimalism and low resources.
#linux #lemonbar

Thermodynamic Constraints on the Emergence of Intersubjectivity in Quantum Systems
Alessandro Candeloro, Tiago Debarba, Felix C. Binder
https://arxiv.org/abs/2507.20736 https://…

Thermodynamic Constraints on the Emergence of Intersubjectivity in Quantum Systems
Ideal quantum measurement requires divergent thermodynamic resources. This is a consequence of the third law of thermodynamics, which prohibits the preparation of the measurement pointer in a fully erased, pure state required for the acquisition of perfect, noiseless measurement information. In this work, we investigate the consequences of finite resources in the emergence of intersubjectivity as a model for measurement processes with multiple observers. Here, intersubjectivity refers to a cond…

Designing for Self-Regulation in Informal Programming Learning: Insights from a Storytelling-Centric Approach
Sami Saeed Alghamdi (Open Lab, School of Computing, Newcastle University), Christopher Bull (Open Lab, School of Computing, Newcastle University), Ahmed Kharrufa (Open Lab, School of Computing, Newcastle University)
https://arxiv.o…

Designing for Self-Regulation in Informal Programming Learning: Insights from a Storytelling-Centric Approach
Many people learn programming independently from online resources and often report struggles in achieving their personal learning goals. Learners frequently describe their experiences as isolating and frustrating, challenged by abundant uncertainties, information overload, and distraction, compounded by limited guidance. At the same time, social media serves as a personal space where many engage in diverse self-regulation practices, including help-seeking, using external memory aids (e.g., self…

Raiders take care of their own by hosting second annual Alumni Wellness Weekend https://www.raiders.com/news/raiders-second-annual-alumni-wellness-weekend-nfl

Shifting Narratives: A Longitudinal Analysis of Media Trends and Public Attitudes on Homelessness
Akshay Irudayaraj (Brown University), Nathan Ye (University of California--Berkeley), Yash Chainani (University of California--Berkeley)
https://arxiv.org/abs/2506.21794

Shifting Narratives: A Longitudinal Analysis of Media Trends and Public Attitudes on Homelessness
Within the field of media framing, homelessness has been a historically under-researched topic. Framing theory states that the media's method of presenting information plays a pivotal role in controlling public sentiment toward a topic. The sentiment held towards homeless individuals influences their ability to access jobs, housing, and resources as a result of discrimination. This study analyzes the topic and sentiment trends in related media articles to validate framing theory within the scop…

Also, if you haven't yet, do yourself a favor and play "Astro Prospector": It's cheap, only takes a few hours to complete, but most importantly, it's really fun and well-made!
https://store.steampowered.com/app/3503440/Astro_Prospector/

The Curious Case of High-Dimensional Indexing as a File Structure: A Case Study of eCP-FS
Omar Shahbaz Khan, Gylfi {\TH}\'or Gu{\dh}mundsson, Bj\"orn {\TH}\'or J\'onsson
https://arxiv.org/abs/2507.21939

The Curious Case of High-Dimensional Indexing as a File Structure: A Case Study of eCP-FS
Modern analytical pipelines routinely deploy multiple deep learning and retrieval models that rely on approximate nearest-neighbor (ANN) indexes to support efficient similarity-based search. While many state-of-the-art ANN-indexes are memory-based (e.g., HNSW and IVF), using multiple ANN indexes creates a competition for limited GPU/CPU memory resources, which in turn necessitates disk-based index structures (e.g., DiskANN or eCP). In typical index implementations, the main component is a compl…

Thiel is fully supportive of burning up the Earth & dumping it for Mars.
Put aside the other jackass that wants to "Occupy Mars" & the utter stupidity of leaving Earth...
...who do you think he believes can/should AFFORD to leave earth after he's used all its resources?
https://

Hardware acceleration for ultra-fast Neural Network training on FPGA for MRF map reconstruction
Mattia Ricchi, Fabrizio Alfonsi, Camilla Marella, Marco Barbieri, Alessandra Retico, Leonardo Brizi, Alessandro Gabrielli, Claudia Testa
https://arxiv.org/abs/2506.22156

Hardware acceleration for ultra-fast Neural Network training on FPGA for MRF map reconstruction
Magnetic Resonance Fingerprinting (MRF) is a fast quantitative MR Imaging technique that provides multi-parametric maps with a single acquisition. Neural Networks (NNs) accelerate reconstruction but require significant resources for training. We propose an FPGA-based NN for real-time brain parameter reconstruction from MRF data. Training the NN takes an estimated 200 seconds, significantly faster than standard CPU-based training, which can be up to 250 times slower. This method could enable rea…

A Learning-based Hybrid System Approach for Detecting Contingencies in Distribution Grids with Inverter-Based Resources
Hamid Varmazyari, Masoud H. Nazari
https://arxiv.org/abs/2508.18500

A Learning-based Hybrid System Approach for Detecting Contingencies in Distribution Grids with Inverter-Based Resources
This paper presents a machine-learning based Stochastic Hybrid System (SHS) modeling framework to detect contingencies in active distribution networks populated with inverter-based resources (IBRs). In particular, this framework allows detecting unobservable contingencies, which cannot be identified by normal sensing systems. First, a state-space SHS model combining conventional and IRB-based resources is introduced to formulate the dynamic interaction between continuous states of distribution …

RRTO: A High-Performance Transparent Offloading System for Model Inference in Mobile Edge Computing
Zekai Sun, Xiuxian Guan, Zheng Lin, Yuhao Qing, Haoze Song, Zihan Fang, Zhe Chen, Fangming Liu, Heming Cui, Wei Ni, Jun Luo
https://arxiv.org/abs/2507.21739

RRTO: A High-Performance Transparent Offloading System for Model Inference in Mobile Edge Computing
Deploying Machine Learning (ML) applications on resource-constrained mobile devices remains challenging due to limited computational resources and poor platform compatibility. While Mobile Edge Computing (MEC) offers offloading-based inference paradigm using GPU servers, existing approaches are divided into non-transparent and transparent methods, with the latter necessitating modifications to the source code. Non-transparent offloading achieves high performance but requires intrusive code modi…

"Battery cost is no longer the primary barrier to widespread maritime electrification. The critical bottleneck now shifts to shore-side infrastructure. Ports will need to rapidly scale up high-capacity charging stations, deploy substantial renewable energy generation resources, and potentially develop battery-swapping facilities to meet the surge in electricity demand from ships at berth."
#EVship

A Bi-Objective Mathematical Model for the Multi-Skilled Resource-Constrained Project Scheduling Problem Considering Reliability: An AUGMECON2VIKOR Hybrid Method
Mohammad Ghasemi, Asef Nazari, Dhananjay Thiruvady, Reza Tavakkoli-Moghaddam, Reza Shahabi-Shahmiri, Seyed-Ali Mirnezami
https://arxiv.org/abs/2507.21436

A Bi-Objective Mathematical Model for the Multi-Skilled Resource-Constrained Project Scheduling Problem Considering Reliability: An AUGMECON2VIKOR Hybrid Method
In recent years, resources with multiple skills have received attention as an extension of the resource-constrained project scheduling problem known as MSRCPSP. Although the disruption rate is well-estimated in today's manufacturing projects, its impact on project makespan and cost need further investigation. Hence, this study presents a novel mathematical model for the MSRCPSP considering reliability, namely MSRCPSPR. The model proposes both objectives of minimizing project makespan and projec…

High-quality Blazed Gratings through Synergy between E-Beam lithography and Robust Characterisation Techniques
Anal\'ia F. Herrero, Nazanin Samadi, Andrey Sokolov, Grzegorz Gwalt, Stefan Rehbein, Anke Teichert, Bas Ketelaars, Christian Zonnevylle, Thomas Krist, Christian David, Frank Siewert
https://arxiv.org/abs/2507.22697

High-quality Blazed Gratings through Synergy between E-Beam lithography and Robust Characterisation Techniques
Maintaining the highest quality and output of photon science in the VUV-, EUV-, soft- and tender-X-ray energy ranges requires high-quality blazed profile gratings. Currently, their availability is critical due to technological challenges and limited manufacturing resources. In this work we discuss the opportunity of an alternative method to manufacture blazed gratings by means of electron-beam lithography (EBL). We investigate the different parameters influencing the optical performance of blaz…

How Big Data Dilutes Cognitive Resources, Interferes with Rational Decision-making and Affects Wealth Distribution ?
Yongheng Hu
https://arxiv.org/abs/2508.20435 https://…

How Big Data Dilutes Cognitive Resources, Interferes with Rational Decision-making and Affects Wealth Distribution ?
Big data has exponentially dilated consumption demand and speed, but can they all convert to utility? We argue about the measures of consumption and utility acquisition in CARR utility function under the condition of big data interaction, we indicate its weakness, i.e., irrational consumption does not lead to the acquisition of utility. We consider that big data, which is different from macro and micro economic signals, formed by general information entropy, affects agents' rational cognition, …

Ukrainian military: Russia lacks resources to encircle Pokrovsk-Myrnohrad agglomeration: https://benborges.xyz/2025/07/09/ukrainian-military-russia-lacks-resources.html

How the Center for Investigative Reporting is handling the lawsuit against OpenAI as one of the few nonprofits with the resources to take on a yearslong suit (Andrew Deck/Nieman Lab)
https://www.niemanlab.org/2025/06/what-it-takes-to-sue-op…

COMETH: Convex Optimization for Multiview Estimation and Tracking of Humans
Enrico Martini, Ho Jin Choi, Nadia Figueroa, Nicola Bombieri
https://arxiv.org/abs/2508.20920 https:/…

COMETH: Convex Optimization for Multiview Estimation and Tracking of Humans
In the era of Industry 5.0, monitoring human activity is essential for ensuring both ergonomic safety and overall well-being. While multi-camera centralized setups improve pose estimation accuracy, they often suffer from high computational costs and bandwidth requirements, limiting scalability and real-time applicability. Distributing processing across edge devices can reduce network bandwidth and computational load. On the other hand, the constrained resources of edge devices lead to accuracy …

Deep Learning Based Concurrency Bug Detection and Localization
Zuocheng Feng, Kaiwen Zhang, Miaomiao Wang, Yiming Cheng, Yuandao Cai, Xiaofeng Li, Guanjun Liu
https://arxiv.org/abs/2508.20911

Deep Learning Based Concurrency Bug Detection and Localization
Concurrency bugs, caused by improper synchronization of shared resources in multi-threaded or distributed systems, are notoriously hard to detect and thus compromise software reliability and security. The existing deep learning methods face three main limitations. First, there is an absence of large and dedicated datasets of diverse concurrency bugs for them. Second, they lack sufficient representation of concurrency semantics. Third, binary classification results fail to provide finer-grained …

PLUME: Procedural Layer Underground Modeling Engine
Gabriel Manuel Garcia, Antoine Richard, Miguel Olivares-Mendez
https://arxiv.org/abs/2508.20926 https://

PLUME: Procedural Layer Underground Modeling Engine
As space exploration advances, underground environments are becoming increasingly attractive due to their potential to provide shelter, easier access to resources, and enhanced scientific opportunities. Although such environments exist on Earth, they are often not easily accessible and do not accurately represent the diversity of underground environments found throughout the solar system. This paper presents PLUME, a procedural generation framework aimed at easily creating 3D underground enviro…

november17: November17 members (2009)
A network representing connections among members of the November 17 (N17) Greek terrorist group. Nodes are members, and an edge exists if two members have some connection in the past. Metadata include role, function, resources. Some attributes are missing.
This network has 22 nodes and 66 edges.
Tags: Social, Offline, Unweighted, Metadata

Bisschen wilde Rechnerei: Wie viel Energie benötigte das Training des Phi4-Modells? Laut Datenblatt (https://huggingface.co/microsoft/phi-4) wurde 21 Tage auf 1920 H100-80G trainiert. In der SXM-Version nimmt eine H100-80G 700W auf (

Quantum Simulation of Nuclear Dynamics in First Quantization
Luca Spagnoli, Chiara Lissoni, Alessandro Roggero
https://arxiv.org/abs/2507.22814 https://arx…

Quantum Simulation of Nuclear Dynamics in First Quantization
The study of real time dynamics of nuclear systems is of great importance to provide theoretical predictions of cross sections relevant for both terrestrial experiments as well as applications in astrophysics. First principles simulations of these dynamical processes is however hindered by an exponential cost in classical resources and the possibility of performing scalable simulations using quantum computers is currently an active field of research. In this work we provide the first complete c…

The Case for Time-Shared Computing Resources
Pierre Jacquet, Adrien Luxey-Bitri
https://arxiv.org/abs/2507.19287 https://arxiv.org/pdf/2507.19287

The Case for Time-Shared Computing Resources
The environmental impact of Information and Communication Technologies (ICT) continues to grow, driven notably by increasing usage, rebound effects, and emerging demands. However, despite the virtual nature of its services, the sector remains inherently constrained by its materiality and cannot rely on an infinite pool of resources. As a result, the wide variety of supported services may need to be managed under stricter limits within hosting facilities in the future. Contrary to common assumpt…

Current pricing remains until effective date
📈 Service Resources
Scaled up service resources to better meet API needs. Users are encouraged to utilize the enhanced service.
📚 Documentation
For more details, visit DeepSeek API Docs:
https://api-docs.deepseek.com

Bluesky blocks access to its service in Mississippi, saying it doesn't have the resources to comply with the state's broad new law requiring age verification (Sarah Perez/TechCrunch)
https://techcrunch.com/2025/08/22/bluesky-blocks-serv…

Bluesky blocks service in Mississippi over age assurance law | TechCrunch
In a blog post published on Friday, the company explains that, as a small team, it doesn't have the resources to make the substantial technical changes this type of law would require, and it raised concerns about the law's broad scope and privacy implications.

Federal employees may discuss and promote their religious beliefs in the workplace, the Trump administration said on Monday, citing religious freedoms protected by the U.S. Constitution.
Federal agency employees may seek to
"persuade others of the correctness of their own religious views"
in the office,
wrote Scott Kupor, director of the Office of Personnel Management, the U.S. government's human resources agency.
Supervisors can attempt to recruit…

AgentMaster: A Multi-Agent Conversational Framework Using A2A and MCP Protocols for Multimodal Information Retrieval and Analysis
Callie C. Liao, Duoduo Liao, Sai Surya Gadiraju
https://arxiv.org/abs/2507.21105

AgentMaster: A Multi-Agent Conversational Framework Using A2A and MCP Protocols for Multimodal Information Retrieval and Analysis
The rise of Multi-Agent Systems (MAS) in Artificial Intelligence (AI), especially integrated with Large Language Models (LLMs), has greatly facilitated the resolution of complex tasks. However, current systems are still facing challenges of inter-agent communication, coordination, and interaction with heterogeneous tools and resources. Most recently, the Model Context Protocol (MCP) by Anthropic and Agent-to-Agent (A2A) communication protocol by Google have been introduced, and to the best of o…

Please join the Conejo Valley Amateur Radio Club this weekend for our 50th participation in ARRL's annual Field Day. Tens of thousand of amateur radio operators take part in this event every year, and CVARC is always one of the largest events out there. Kids welcome, too!
377 W. Potrero Rd, Westlake Villagae, CA 91361 from 11:00 am Saturday to 11:00 am Sunday. LOADS of stuff going on.

Evaluating Massively Parallel Algorithms for DFA Minimisation, Equivalence Checking and Inclusion Checking
Jan Heemstra, Jan Martens, Anton Wijs
https://arxiv.org/abs/2508.20735

Evaluating Massively Parallel Algorithms for DFA Minimisation, Equivalence Checking and Inclusion Checking
We study parallel algorithms for the minimisation and equivalence checking of Deterministic Finite Automata (DFAs). Regarding DFA minimisation, we implement four different massively parallel algorithms on Graphics Processing Units~(GPUs). Our results confirm the expectations that the algorithm with the theoretically best time complexity is not practically suitable to run on GPUs due to the large amount of resources needed. We empirically verify that parallel partition refinement algorithms from…

Data-Driven Greenhouse Climate Regulation in Lettuce Cultivation Using BiLSTM and GRU Predictive Control
Soumo Emmanuel Arnaud, Marcello Calisti, Athanasios Polydoros
https://arxiv.org/abs/2507.21669

Data-Driven Greenhouse Climate Regulation in Lettuce Cultivation Using BiLSTM and GRU Predictive Control
Efficient greenhouse management is essential for sustainable food production in response to a growing global population. However, maintaining optimal indoor climates requires significant energy and resources, making advanced control systems critical for economic viability and environmental sustainability. Traditional greenhouse models are often complex and imprecise, limiting the effectiveness of conventional control strategies. To address these challenges, this study investigates data-driven p…

SoK: Large Language Model Copyright Auditing via Fingerprinting
Shuo Shao, Yiming Li, Yu He, Hongwei Yao, Wenyuan Yang, Dacheng Tao, Zhan Qin
https://arxiv.org/abs/2508.19843 ht…

SoK: Large Language Model Copyright Auditing via Fingerprinting
The broad capabilities and substantial resources required to train Large Language Models (LLMs) make them valuable intellectual property, yet they remain vulnerable to copyright infringement, such as unauthorized use and model theft. LLM fingerprinting, a non-intrusive technique that extracts and compares the distinctive features from LLMs to identify infringements, offers a promising solution to copyright auditing. However, its reliability remains uncertain due to the prevalence of diverse mod…

Simultaneously Fair Allocation of Indivisible Items Across Multiple Dimensions
Yasushi Kawase, Bodhayan Roy, Mohammad Azharuddin Sanpui
https://arxiv.org/abs/2506.21727

Simultaneously Fair Allocation of Indivisible Items Across Multiple Dimensions
This paper explores the fair allocation of indivisible items in a multidimensional setting, motivated by the need to address fairness in complex environments where agents assess bundles according to multiple criteria. Such multidimensional settings are not merely of theoretical interest but are central to many real-world applications. For example, cloud computing resources are evaluated based on multiple criteria such as CPU cores, memory, and network bandwidth. In such cases, traditional one d…

The payment industry (Visa and Mastercard) is stepping up to make card payments the standard for #EV Plug & Charge #15118.
This makes price transparency even more important and will mess up the pricing circus (every customer gets their own price) for CPOs.

AI use cases introduced by Rob Finn from EMBL-EBI, as pointed out in his #CORDI2025 keynote "Delivering life science data resources in a world of growing data and impacts from AI"
https://www.nfdi.de/cordi-2025/keynotes/

"Resources to demystify fake news and misinformation"
https://doi.org/10.1080/15228959.2025.2519020
– closed access, unfortunately ... 🙄

Coordination of Electrical and Heating Resources by Self-Interested Agents
Rico Schrage, Jari Radler, Astrid Nie{\ss}e
https://arxiv.org/abs/2506.16277 htt…

Coordination of Electrical and Heating Resources by Self-Interested Agents
With the rise of distributed energy resources and sector coupling, distributed optimization can be a sensible approach to coordinate decentralized energy resources. Further, district heating, heat pumps, cogeneration, and sharing concepts like local energy communities introduce the potential to optimize heating and electricity output simultaneously. To solve this issue, we tackle the distributed multi-energy scheduling optimization problem, which describes the optimization of distributed energy…

Bellingcat has just launched a major new update to our Auto Archiver tool, simplifying the process of archiving online content for individuals or teams.
https://www.bellingcat.com/resources/2025/08/13/the-open-source-to…

The Open Source Tool That Has Preserved 150,000 Pieces of Online Evidence - bellingcat
Bellingcat’s Auto Archiver is a tool aimed at preserving online digital content before it can be modified, deleted or taken down

Human resources software giant Workday has disclosed a data breach following a social engineering attack that compromised a third-party customer relationship management (CRM) platform.
https://www.computing.co.uk/news/2025/secu

Workday confirms data breach amid wave of Salesforce-linked cyberattacks
Human resources software giant Workday has disclosed a data breach following a social engineering attack that compromised a third-party customer relationship management (CRM) platform.

"Amazon Q: Now with Helpful AI-Powered Self-Destruct Capabilities"
by Corey Quinn
Big oof. This is a great breakdown of what happened and why it's concerning — and especially so because we're not hearing the details from Amazon.
https://www.la…

Using Containers to Speed Up Development, to Run Integration Tests and to Teach About Distributed Systems
Marco Mambelli, Bruno Moreira Coimbra, Namratha Urs, Ilya Baburashvili
https://arxiv.org/abs/2507.21464

Using Containers to Speed Up Development, to Run Integration Tests and to Teach About Distributed Systems
GlideinWMS is a workload manager provisioning resources for many experiments, including CMS and DUNE. The software is distributed both as native packages and specialized production containers. Following an approach used in other communities like web development, we built our workspaces, system-like containers to ease development and testing. Developers can change the source tree or check out a different branch and quickly reconfigure the services to see the effect of their changes. In this pape…

Multi-Agent-as-Judge: Aligning LLM-Agent-Based Automated Evaluation with Multi-Dimensional Human Evaluation
Jiaju Chen, Yuxuan Lu, Xiaojie Wang, Huimin Zeng, Jing Huang, Jiri Gesi, Ying Xu, Bingsheng Yao, Dakuo Wang
https://arxiv.org/abs/2507.21028

Multi-Agent-as-Judge: Aligning LLM-Agent-Based Automated Evaluation with Multi-Dimensional Human Evaluation
Nearly all human work is collaborative; thus, the evaluation of real-world NLP applications often requires multiple dimensions that align with diverse human perspectives. As real human evaluator resources are often scarce and costly, the emerging "LLM-as-a-judge" paradigm sheds light on a promising approach to leverage LLM agents to believably simulate human evaluators. Yet, to date, existing LLM-as-a-judge approaches face two limitations: persona descriptions of agents are often arbitrarily de…

A Framework for Energy Management Modelling in Hubs for Circularity
Tobias L{\o}vebakke Nielsen, Daniela Guericke, Alessio Trivella, Devrim Murat Yazan
https://arxiv.org/abs/2508.19765

A Framework for Energy Management Modelling in Hubs for Circularity
The concept Hubs for Circularity (H4C) represents integrated systems that combine efficient use of clean energy and circular economy to enhance resource efficiency within a region. H4C benefit from the geographical proximity of different industries within industrial zones and the surrounding urban and rural areas, allowing them to share resources, technology, and infrastructure. They reduce the use of virgin resources through Industrial Symbiosis (IS), where one company uses waste of another co…

Trump selling off America to Putin because of course he is.
✅ Trump reportedly offering Putin natural resources off Alaska sparks fury
https://www.newsweek.com/alaska-russia-trump-resources-2113295

Trump Reportedly Offering Putin Natural Resources Off Alaska Sparks Fury
"Lets see Republicans defend this," former GOP Representative Adam Kinzinger wrote on X.

Payroll and HR software provider Gusto agrees to acquire Guideline, which offers 401(k) plans to small businesses; Guideline was valued at $1.15B in 2021 (Jordan Novet/CNBC)
https://www.cnbc.com/2025/08/27/gusto-retirement-guideline-deal.html

Gusto agrees to buy retirement plan provider Guideline
Gusto, which offers payroll and human resources software, has agreed to acquire Guideline, a startup that provides 401(k) plans to small businesses.

The Impact of Fine-tuning Large Language Models on Automated Program Repair
Roman Mach\'a\v{c}ek, Anastasiia Grishina, Max Hort, Leon Moonen
https://arxiv.org/abs/2507.19909

The Impact of Fine-tuning Large Language Models on Automated Program Repair
Automated Program Repair (APR) uses various tools and techniques to help developers achieve functional and error-free code faster. In recent years, Large Language Models (LLMs) have gained popularity as components in APR tool chains because of their performance and flexibility. However, training such models requires a significant amount of resources. Fine-tuning techniques have been developed to adapt pre-trained LLMs to specific tasks, such as APR, and enhance their performance at far lower co…

So much groundwater is now being pumped that it is filling the oceans as it drains off land,
becoming one of the largest drivers of global sea level rise.
https://www.propublica.org/article/water-aquifers-groundwater-rising-ocean-levels

“Staggering” Water Loss Driven by Groundwater Mining Poses Global Threat
A new study finds that freshwater resources are rapidly disappearing, creating arid “mega” regions and causing sea levels to rise.

Handoff Design in User-Centric Cell-Free Massive MIMO Networks Using DRL
Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau, Israfil Bahceci
https://arxiv.org/abs/2507.20966

Handoff Design in User-Centric Cell-Free Massive MIMO Networks Using DRL
In the user-centric cell-free massive MIMO (UC-mMIMO) network scheme, user mobility necessitates updating the set of serving access points to maintain the user-centric clustering. Such updates are typically performed through handoff (HO) operations; however, frequent HOs lead to overheads associated with the allocation and release of resources. This paper presents a deep reinforcement learning (DRL)-based solution to predict and manage these connections for mobile users. Our solution employs th…

Polynomial-time Extraction of Entanglement Resources
Si-Yi Chen, Angela Sara Cacciapuoti, Marcello Caleffi
https://arxiv.org/abs/2508.18024 https://arxiv.o…

Polynomial-time Extraction of Entanglement Resources
The extraction of EPR pairs and n-qubits GHZ states among remote nodes in quantum networks constitutes the resource primitives for end-to-end and on-demand communications. However, the Bell-VM problem, which determines whether a given graph state can be transformed into a set of Bell pairs on specific vertices (not necessarily remote), is known to be NP-complete. In this paper, we extend this problem, not only by focusing on nodes remote within generic graph states, but also by determining the …

House Dems: Trump is starving inspectors generals of resources, blocking investigations - Government Executive
https://www.govexec.com/oversight/2025/08/house-dems-trump-starving-inspectors-generals-resources-blocking-investigations/407497/?oref=ge-featured-river-top

A Scalable Resource Management Layer for FPGA SoCs in 6G Radio Units
Nikolaos Bartzoudis, Jos\'e Rubio Fern\'andez, David L\'opez-Bueno, Antonio Rom\'an Villarroel
https://arxiv.org/abs/2507.19963

A Scalable Resource Management Layer for FPGA SoCs in 6G Radio Units
This work presents a perspective on addressing the underutilization of computing resources in FPGA SoC devices deployed in 5G radio and edge computing infrastructure. The initial step in this approach involves developing a resource management layer capable of dynamically migrating and scaling functions within these devices in response to contextual events. This layer serves as the foundation for designing a hierarchical, data-driven micro-orchestrator responsible for managing the lifecycle of f…

I second Peter Sjökvist's suggestion and wonder if there is any library catalogue that has such granular identifiers.
From: Sjökvist, P. (2022). »Resource Description and Access (RDA)« – Transcription and the Dilemma of a Rare Materials Cataloger. Bibliothek Und Wissenschaft, 55, 279–285 (p. 284).

An Agile Method for Implementing Retrieval Augmented Generation Tools in Industrial SMEs
Mathieu Bourdin, Anas Neumann, Thomas Paviot, Robert Pellerin, Samir Lamouri
https://arxiv.org/abs/2508.21024

An Agile Method for Implementing Retrieval Augmented Generation Tools in Industrial SMEs
Retrieval-Augmented Generation (RAG) has emerged as a powerful solution to mitigate the limitations of Large Language Models (LLMs), such as hallucinations and outdated knowledge. However, deploying RAG-based tools in Small and Medium Enterprises (SMEs) remains a challenge due to their limited resources and lack of expertise in natural language processing (NLP). This paper introduces EASI-RAG, Enterprise Application Support for Industrial RAG, a structured, agile method designed to facilitate t…

How the Center for Investigative Reporting is handling the lawsuit against OpenAI as one of the few nonprofits with the resources to take on a yearslong suit (Andrew Deck/Nieman Lab)
https://www.niemanlab.org/2025/06/what-it-takes-to-sue-op…

CITADEL: Continual Anomaly Detection for Enhanced Learning in IoT Intrusion Detection
Elvin Li, Onat Gungor, Zhengli Shang, Tajana Rosing
https://arxiv.org/abs/2508.19450 https:…

CITADEL: Continual Anomaly Detection for Enhanced Learning in IoT Intrusion Detection
The Internet of Things (IoT), with its high degree of interconnectivity and limited computational resources, is particularly vulnerable to a wide range of cyber threats. Intrusion detection systems (IDS) have been extensively studied to enhance IoT security, and machine learning-based IDS (ML-IDS) show considerable promise for detecting malicious activity. However, their effectiveness is often constrained by poor adaptability to emerging threats and the issue of catastrophic forgetting during c…

If you build it, they will come.
UK DSO National Grid Energy Distribution has worked to remove barriers for consumer energy resources participating in its local flexibility market. With great success, over 50% of all #EV chargers in its area are now registered.

If you build it, they will come | Jaap Burger
If you build it, they will come Applying that well-worn phrase here: 'It' is a local flexibility market. 'They' refers to the flexibility inherent in EV home charging that has not previously been used to support the local grid. National Grid Electricity Distribution's impressive statistics show that more than 50% of EV chargers in its area are registered to deliver flexibility services. In terms of the number of assets, 90% of those registered are from domestic households, mainly in the form …

A Data-Driven Forced Oscillation Locating Method for Power Systems with Inverter-Based Resources
Yaojie Cai, Georgia Pierrou, Xiaozhe Wang, Geza Joos
https://arxiv.org/abs/2508.17505

A Data-Driven Forced Oscillation Locating Method for Power Systems with Inverter-Based Resources
Forced Oscillations (FO) stemming from external periodic disturbances threaten power system security and stability. The increasing penetration of Inverter-Based Resources(IBRs) further introduces FO, leading to new challenges in identifying and locating FO sources in modern power systems. In this paper, a novel data-driven method for locating FO in power systems with IBRs is proposed. Unlike previous works, a unified representation of FO originating from IBRs is considered, which further facili…

"Reform Plans to Hand Fracking Windfall to Trump Donor"
#UK #UnitedKingdom #Climate #ClimateChange

Reform Plans to Hand Fracking Windfall to Trump Donor
Nigel Farage’s Reform UK would allow a fossil fuel company owned by a Donald Trump donor to open up a huge fracking site in Greater Lincolnshire, DeSmog can reveal. Andrea Jenkyns, Reform’s mayor in the region, recently met with Egdon Resources – an oil and gas firm owned by Texas-based Heyco Energy – which claims […]

An Iterative Approach for Heterogeneous Multi-Agent Route Planning with Resource Transportation Uncertainty and Temporal Logic Goals
Gustavo A. Cardona, Kaier Liang, Cristian-Ioan Vasile
https://arxiv.org/abs/2508.19429

An Iterative Approach for Heterogeneous Multi-Agent Route Planning with Resource Transportation Uncertainty and Temporal Logic Goals
This paper presents an iterative approach for heterogeneous multi-agent route planning in environments with unknown resource distributions. We focus on a team of robots with diverse capabilities tasked with executing missions specified using Capability Temporal Logic (CaTL), a formal framework built on Signal Temporal Logic to handle spatial, temporal, capability, and resource constraints. The key challenge arises from the uncertainty in the initial distribution and quantity of resources in the…

Beyond Interactions: Node-Level Graph Generation for Knowledge-Free Augmentation in Recommender Systems
Zhaoyan Wang, Hyunjun Ahn, In-Young Ko
https://arxiv.org/abs/2507.20578 h…

Beyond Interactions: Node-Level Graph Generation for Knowledge-Free Augmentation in Recommender Systems
Recent advances in recommender systems rely on external resources such as knowledge graphs or large language models to enhance recommendations, which limit applicability in real-world settings due to data dependency and computational overhead. Although knowledge-free models are able to bolster recommendations by direct edge operations as well, the absence of augmentation primitives drives them to fall short in bridging semantic and structural gaps as high-quality paradigm substitutes. Unlike ex…

A profile of Egune AI, a startup building LLMs for the Mongolian language, as it navigates geopolitics, a lack of resources, and the nascent local tech scene (Viola Zhou/Rest of World)
https://restofworld.org/2025/mongolia-egune-ai-llm/

The Mongolian startup defying Big Tech with its own LLM
Egune is one of several linguistically and culturally aware AI models built by smaller nations to reduce reliance on American and Chinese tech giants.

Geological resources may be able to provide billions—or even trillions—of metric tons of clean hydrogen,
according to estimates from US government researchers.
By tapping into existing hydrogen accumulations and stimulating underground rocks to make more of the electron-rich gas,
a new crop of energy entrepreneurs think they can put low-carbon hydrogen on the market for as little as $1 per kilogram.
The concept is proven at just one site today -- But if it works as w…

Trillions of tons of hydrogen may be waiting under our feet
A new energy industry is emerging around hydrogen made by rocks instead of renewables

Mind the Language Gap in Digital Humanities: LLM-Aided Translation of SKOS Thesauri
Felix Kraus, Nicolas Blumenr\"ohr, Danah Tonne, Achim Streit
https://arxiv.org/abs/2507.19537

Mind the Language Gap in Digital Humanities: LLM-Aided Translation of SKOS Thesauri
We introduce WOKIE, an open-source, modular, and ready-to-use pipeline for the automated translation of SKOS thesauri. This work addresses a critical need in the Digital Humanities (DH), where language diversity can limit access, reuse, and semantic interoperability of knowledge resources. WOKIE combines external translation services with targeted refinement using Large Language Models (LLMs), balancing translation quality, scalability, and cost. Designed to run on everyday hardware and be easi…

Noise-Resilient Quantum Reinforcement Learning
Jing-Ci Yue, Jun-Hong An
https://arxiv.org/abs/2508.20601 https://arxiv.org/pdf/2508.20601

Noise-Resilient Quantum Reinforcement Learning
As a branch of quantum machine learning, quantum reinforcement learning (QRL) aims to solve complex sequential decision-making problems more efficiently and effectively than its classical counterpart by exploiting quantum resources. However, in the noisy intermediate-scale quantum (NISQ) era, its realization is challenged by the ubiquitous noise-induced decoherence. Here, we propose a noise-resilient QRL scheme for a quantum eigensolver. By investigating the non-Markovian decoherence effect on …

Quantifying the Performance Gap for Simple Versus Optimal Dynamic Server Allocation Policies
Niklas Carlsson, Derek Eager
https://arxiv.org/abs/2507.19667 https://

Quantifying the Performance Gap for Simple Versus Optimal Dynamic Server Allocation Policies
Cloud computing enables the dynamic provisioning of server resources. To exploit this opportunity, a policy is needed for dynamically allocating (and deallocating) servers in response to the current load conditions. In this paper we describe several simple policies for dynamic server allocation and develop analytic models for their analysis. We also design semi-Markov decision models that enable determination of the performance achieved with optimal policies, allowing us to quantify the perform…

Bluesky blocks access to its service in Mississippi, saying it doesn't have the resources to comply with the state's broad new law requiring age verification (Sarah Perez/TechCrunch)
https://techcrunch.com/2025/08/22/bluesky-blocks-serv…

Bluesky blocks service in Mississippi over age assurance law | TechCrunch
In a blog post published on Friday, the company explains that, as a small team, it doesn't have the resources to make the substantial technical changes this type of law would require, and it raised concerns about the law's broad scope and privacy implications.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback
Zhang Liu (Sherman), Lianfen Huang (Sherman), Zhibin Gao (Sherman), Xianbin Wang (Sherman), Dusit Niyato (Sherman), Xuemin (Sherman), Shen
https://arxiv.org/abs/2507.20524…

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback
Low altitude uncrewed aerial vehicles (UAVs) are expected to facilitate the development of aerial-ground integrated intelligent transportation systems and unlocking the potential of the emerging low-altitude economy. However, several critical challenges persist, including the dynamic optimization of network resources and UAV trajectories, limited UAV endurance, and imperfect channel state information (CSI). In this paper, we offer new insights into low-altitude economy networking by exploring i…

A Comprehensive Review of Denial of Wallet Attacks in Serverless Architectures
Mark Dorsett, Scott Mann, Jabed Chowdhury, Abdun Mahmood
https://arxiv.org/abs/2508.19284 https://…

A Comprehensive Review of Denial of Wallet Attacks in Serverless Architectures
The Denial of Wallet (DoW) attack poses a unique and growing threat to serverless architectures that rely on Function-as-a-Service (FaaS) models, exploiting the cost structure of pay-as-you-go billing to financially burden application owners. Unlike traditional Denial of Service (DoS) attacks, which aim to exhaust resources and disrupt service availability, DoW attacks focus on escalating costs without impacting service operation. This review traces the evolution of DoW research, from initial a…

OneRec-V2 Technical Report
Guorui Zhou, Hengrui Hu, Hongtao Cheng, Huanjie Wang, Jiaxin Deng, Jinghao Zhang, Kuo Cai, Lejian Ren, Lu Ren, Liao Yu, Pengfei Zheng, Qiang Luo, Qianqian Wang, Qigen Hu, Rui Huang, Ruiming Tang, Shiyao Wang, Shujie Yang, Tao Wu, Wuchao Li, Xinchen Luo, Xingmei Wang, Yi Su, Yunfan Wu, Zexuan Cheng, Zhanyu Liu, Zixing Zhang, Bin Zhang, Boxuan Wang, Chaoyi Ma, Chengru Song, Chenhui Wang, Chenglong Chu, Di Wang, Dongxue Meng, Dunju Zang, Fan Yang, Fangyu Zhang, …

OneRec-V2 Technical Report
Recent breakthroughs in generative AI have transformed recommender systems through end-to-end generation. OneRec reformulates recommendation as an autoregressive generation task, achieving high Model FLOPs Utilization. While OneRec-V1 has shown significant empirical success in real-world deployment, two critical challenges hinder its scalability and performance: (1) inefficient computational allocation where 97.66% of resources are consumed by sequence encoding rather than generation, and (2) l…

A Variational Quantum Algorithm for Entanglement Quantification
Lucas Friedrich, Marcos L. W. Basso, Alberto B. P. Junior, Joab M. Varela, Leandro Morais, Rafael Chaves, Jonas Maziero
https://arxiv.org/abs/2507.20813

A Variational Quantum Algorithm for Entanglement Quantification
Quantum entanglement is a foundational resource in quantum information science, underpinning applications across physics. However, detecting and quantifying entanglement remains a significant challenge. Here, we introduce a variational quantum algorithm inspired by Uhlmann's theorem to quantify the Bures entanglement of general quantum states, a method that naturally extends to other quantum resources, including genuine multipartite entanglement, quantum discord, quantum coherence, and total co…

It’s a vicious cycle:
Pumping for groundwater is dehydrating our world.
And yet, people take more water from underground due to need, when climate-driven heat and drought are at their worst.
https://www.propublica.org/article/water-aquifers-gro…

“Staggering” Water Loss Driven by Groundwater Mining Poses Global Threat
A new study finds that freshwater resources are rapidly disappearing, creating arid “mega” regions and causing sea levels to rise.

CAM\~OES: A Comprehensive Automatic Speech Recognition Benchmark for European Portuguese
Carlos Carvalho, Francisco Teixeira, Catarina Botelho, Anna Pompili, Rub\'en Solera-Ure\~na, S\'ergio Paulo, Mariana Juli\~ao, Thomas Rolland, John Mendon\c{c}a, Diogo Pereira, Isabel Trancoso, Alberto Abad
https://arxiv.org/abs/2508.19721

CAMÕES: A Comprehensive Automatic Speech Recognition Benchmark for European Portuguese
Existing resources for Automatic Speech Recognition in Portuguese are mostly focused on Brazilian Portuguese, leaving European Portuguese (EP) and other varieties under-explored. To bridge this gap, we introduce CAMÕES, the first open framework for EP and other Portuguese varieties. It consists of (1) a comprehensive evaluation benchmark, including 46h of EP test data spanning multiple domains; and (2) a collection of state-of-the-art models. For the latter, we consider multiple foundation mod…

Enhancing Semantic Document Retrieval- Employing Group Steiner Tree Algorithm with Domain Knowledge Enrichment
Apurva Kulkarni, Chandrashekar Ramanathan, Vinu E Venugopal
https://arxiv.org/abs/2508.20543

Enhancing Semantic Document Retrieval- Employing Group Steiner Tree Algorithm with Domain Knowledge Enrichment
Retrieving pertinent documents from various data sources with diverse characteristics poses a significant challenge for Document Retrieval Systems. The complexity of this challenge is further compounded when accounting for the semantic relationship between data and domain knowledge. While existing retrieval systems using semantics (usually represented as Knowledge Graphs created from open-access resources and generic domain knowledge) hold promise in delivering relevant outcomes, their precisio…

Real-Space Chemistry on Quantum Computers: A Fault-Tolerant Algorithm with Adaptive Grids and Transcorrelated Extension
C\'esar Feniou, Christopher Cherfan, Julien Zylberman, Baptiste Claudon, Jean-Philip Piquemal, Emmanuel Giner
https://arxiv.org/abs/2507.20583

Real-Space Chemistry on Quantum Computers: A Fault-Tolerant Algorithm with Adaptive Grids and Transcorrelated Extension
First-quantized, real-space formulations of quantum chemistry on quantum computers are appealing: qubit count scales logarithmically with spatial resolution, and Coulomb operators achieve quadratic instead of quartic computational scaling of two-electron interactions. However, existing schemes employ uniform discretizations, so the resolution required to capture electron-nuclear cusps in high-density regions oversamples low-density regions, wasting computational resources. We address this by de…

GPUnion: Autonomous GPU Sharing on Campus
Yufang Li (The Hong Kong University of Science,Technology), Yuanbo Zhang (Sun Yat-sen University), Hanlong Liao (National University of Defense Technology), Guoming Tang (The Hong Kong University of Science,Technology), Deke Guo (Sun Yat-sen University)
https://arxiv.org/abs/2507.18928

GPUnion: Autonomous GPU Sharing on Campus
A pronounced imbalance in GPU resources exists on campus, where some laboratories own underutilized servers while others lack the compute needed for AI research. GPU sharing can alleviate this disparity, while existing platforms typically rely on centralized oversight and persistent allocation models, conflicting with the voluntary and autonomous nature of academic resource ownership. We present GPUnion, a campus-scale GPU sharing platform enabling voluntary participation while preserving full …

MPFormer: Adaptive Framework for Industrial Multi-Task Personalized Sequential Retriever
Yijia Sun, Shanshan Huang, Linxiao Che, Haitao Lu, Qiang Luo, Kun Gai, Guorui Zhou
https://arxiv.org/abs/2508.20400

MPFormer: Adaptive Framework for Industrial Multi-Task Personalized Sequential Retriever
Modern industrial recommendation systems encounter a core challenge of multi-stage optimization misalignment: a significant semantic gap exists between the multi-objective optimization paradigm widely used in the ranking phase and the single-objective modeling in the retrieve phase. Although the mainstream industry solution achieves multi-objective coverage through parallel multi-path single-objective retrieval, this approach leads to linear growth of training and serving resources with the num…

Bernie Sanders is taking a HEROIC stand against Donald Trump
We’re activating a 200%-MATCH on all donations to save Social Security for the next 24 hours!
If we receive 100,000 donations this week, we’ll have the resources we need to SAVE Social Security.
Donate now to help rescue Social Security and your gift will be 2X‑MATCHED
…

AraHealthQA 2025 Shared Task Description Paper
Hassan Alhuzali, Farah Shamout, Muhammad Abdul-Mageed, Chaimae Abouzahir, Mouath Abu-Daoud, Ashwag Alasmari, Walid Al-Eisawi, Renad Al-Monef, Ali Alqahtani, Lama Ayash, Nizar Habash, Leen Kharouf
https://arxiv.org/abs/2508.20047

AraHealthQA 2025 Shared Task Description Paper
We introduce {AraHealthQA 2025}, the {Comprehensive Arabic Health Question Answering Shared Task}, held in conjunction with {ArabicNLP 2025} (co-located with EMNLP 2025). This shared task addresses the paucity of high-quality Arabic medical QA resources by offering two complementary tracks: {MentalQA}, focusing on Arabic mental health Q\&A (e.g., anxiety, depression, stigma reduction), and {MedArabiQ}, covering broader medical domains such as internal medicine, pediatrics, and clinical decision…

A hacker claims to have compromised Amazon's Q coding assistant for VS Code via a GitHub pull request; Amazon says "no customer resources were impacted" (Joseph Cox/404 Media)
https://www.404media.co/hacker-plants-computer-wiping-comma…

Hacker Plants Computer 'Wiping' Commands in Amazon's AI Coding Agent
The wiping commands probably wouldn't have worked, but a hacker who says they wanted to expose Amazon’s AI “security theater” was able to add code to Amazon’s popular ‘Q’ AI assistant for VS Code, which Amazon then pushed out to users.

Filling the Gap for Uzbek: Creating Translation Resources for Southern Uzbek
Mukhammadsaid Mamasaidov, Azizullah Aral, Abror Shopulatov, Mironshoh Inomjonov
https://arxiv.org/abs/2508.14586

Filling the Gap for Uzbek: Creating Translation Resources for Southern Uzbek
Southern Uzbek (uzs) is a Turkic language variety spoken by around 5 million people in Afghanistan and differs significantly from Northern Uzbek (uzn) in phonology, lexicon, and orthography. Despite the large number of speakers, Southern Uzbek is underrepresented in natural language processing. We present new resources for Southern Uzbek machine translation, including a 997-sentence FLORES+ dev set, 39,994 parallel sentences from dictionary, literary, and web sources, and a fine-tuned NLLB-200 …

Trump's budget bill — the one and only major legislative effort of Trump 2.0 — is the most regressive, least populist policy package in living memory.
With its distinctive mix of tax cuts laser-focused on the rich and spending cuts that most hurt middle- and low-income Americans,
it would shift more resources up the income ladder than any bill passed since scorekeepers started keeping track.
And when voters learn what it would do — even Republican voters — they recoil…

Opinion | The Four Ugliest Points About the Big Beautiful Bill
It is wildly regressive. And when voters learn what it does — even Republican voters — they recoil against it.

Analytic Tools for Harvesting Magic Resource in Curved Spacetime
Jiayue Yang, Dyuman Bhattacharya, Ming Zhang, Robert B. Mann
https://arxiv.org/abs/2508.16466 https://

Analytic Tools for Harvesting Magic Resource in Curved Spacetime
The quantum vacuum is not really empty; it is a reservoir of operationally accessible non-classical resources. Understanding how to extract these resources to fuel information processing is a core objective in quantum technologies and lies at the heart of relativistic quantum information (RQI). While earlier studies of quantum resource harvesting protocols relied primarily on numerical methods, we present, for the first time, exact analytic results for the transition probability and coherence o…

China's Qianfan, the third largest satellite broadband constellation with 90 operational satellites, remains far short of its goal of 648 by the end of 2025 (Ling Xin/South China Morning Post)
https://www.scmp.com/news/china/science/ar

Exclusive | Trouble in orbit? China’s Starlink rival faces long delays amid rocket shortage
A shortage of rockets and competition for launch resources appear to be putting the mega-constellation’s targets in doubt.

Quantum Resource Correction
Mark Byrd, Daniel Dilley, Alvin Gonzales, Masaya Takahashi, Zain Saleem, Lian-Ao Wu
https://arxiv.org/abs/2506.19776 https://…

Quantum Resource Correction
Resource theories play a crucial role in characterizing states and properties essential for quantum information processing. A significant challenge is protecting resources from errors. We explore strategies for correcting quantum resources. We show that resource preserving operations in resource theory define a gauge freedom on code spaces, which allows for recovery strategies that can correct the resource while changing non-essential properties. This allows decoding to be simplified. The resul…

Resource-Efficient Hadamard Test Circuits for Nonlinear Dynamics on a Trapped-Ion Quantum Computer
Eleftherios Mastorakis, Muhammad Umer, Milena Guevara-Bertsch, Juris Ulmanis, Felix Rohde, Dimitris G. Angelakis
https://arxiv.org/abs/2507.19250

Resource-Efficient Hadamard Test Circuits for Nonlinear Dynamics on a Trapped-Ion Quantum Computer
Resource-efficient, low-depth implementations of quantum circuits remain a promising strategy for achieving reliable and scalable computation on quantum hardware, as they reduce gate resources and limit the accumulation of noisy operations. Here, we propose a low-depth implementation of a class of Hadamard test circuits, complemented by the development of a parameterized quantum ansatz specifically tailored for variational algorithms that exploit the underlying Hadamard test framework. Our find…