Tootfinder

Massachusetts water resources body punts on permanently dumping sewage into Charles River https://phys.org/news/2025-11-massachusetts-resources-body-punts-permanently.html

Massachusetts water resources body punts on permanently dumping sewage into Charles River
The Massachusetts Water Resources Authority may have been caught loving that dirty water a little too much, as its board has halted a proposal that clean water advocates fear would dump sewage into the Charles River forever.

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.

Running #Java on #iOS: Gluon Introduces OpenJDK Mobile Resources and Automated Build Pipelines
https://www.infoq.com/news/2025/11/java-on

Series D, Episode 13 - Blake
AVON: A general suspension of the penal code.
SOOLIN: That's right.
DAYNA: You mean there's no law at all?
SOOLIN: It's the fast way to get resources exploited, in this case mineral resources.
DAYNA: I don't understand.
https://blake.torpidity.net/m/413/101

SoftBank's Vision Fund plans layoffs; sources say ~20% of staff will be impacted as SoftBank shifts resources to Masayoshi Son's large-scale AI bets in the US (Krystal Hu/Reuters)
https://www.reuters.com/business/world-at-

First Practical Experiences Integrating Quantum Computers with HPC Resources: A Case Study With a 20-qubit Superconducting Quantum Computer
Eric Mansfield, Stefan Seegerer, Panu Vesanen, Jorge Echavarria, Burak Mete, Muhammad Nufail Farooqi, Laura Schulz
https://arxiv.org/abs/2509.12949

First Practical Experiences Integrating Quantum Computers with HPC Resources: A Case Study With a 20-qubit Superconducting Quantum Computer
Incorporating Quantum Computers into High Performance Computing (HPC) environments (commonly referred to as HPC+QC integration) marks a pivotal step in advancing computational capabilities for scientific research. Here we report the integration of a superconducting 20-qubit quantum computer into the HPC infrastructure at Leibniz Supercomputing Centre (LRZ), one of the first practical implementations of its kind. This yielded four key lessons: (1) quantum computers have stricter facility require…

Resources to Learn More About the DPRK (aka North Korea)
https://docs.google.com/document/d/1fPJjTYGBo4QRuafFkbWTA8imbpr-QP3tD_946Yv_v3A/edit?tab=t.0

MSNBC's SVP of newsgathering, Scott Matthews, outlined key dates in the network's split from NBC News, leading to a full separation by the end of October (Alex Weprin/The Hollywood Reporter)
https://www.hollywoodreporter.com/tv/tv-ne

MSNBC and NBC News Set for Editorial Split Next Month
After nearly 30 years of sharing resources and editorial staff, the soon-to-be-renamed MS NOW will begin operating its own news operation Oct. 6.

🎲 Luck Shouldn’t Determine Our Fates
#inequality

Luck Shouldn’t Determine Our Fates
Socialists accept that some degree of inequality may be inevitable in a complex society. But there’s one kind of inequality that’s intolerable: the kind where resources are allocated according to factors that individuals can’t control.

"LLMs use fewer resources doing $task than humans so using them isn't an ecological problem."
So what are you arguing for? What happens with the humans we no longer "need"?
That argument leads only to monstrosity.

Reminder--today is the last day to submit comments about the Executive Order designed to distort and restrict historical education. I just sent my statement in, I hope many people do the same! The American Historical Association has compiled a great set of resources to help you take this action! h…

Differentially private federated learning for localized control of infectious disease dynamics
Raouf Kerkouche, Henrik Zunker, Mario Fritz, Martin J. K\"uhn
https://arxiv.org/abs/2509.14024

Differentially private federated learning for localized control of infectious disease dynamics
In times of epidemics, swift reaction is necessary to mitigate epidemic spreading. For this reaction, localized approaches have several advantages, limiting necessary resources and reducing the impact of interventions on a larger scale. However, training a separate machine learning (ML) model on a local scale is often not feasible due to limited available data. Centralizing the data is also challenging because of its high sensitivity and privacy constraints. In this study, we consider a localiz…

Population Estimation using Deep Learning over Gandhinagar Urban Area
Jai Singla, Peal Jotania, Keivalya Pandya
https://arxiv.org/abs/2509.12926 https://ar…

Population Estimation using Deep Learning over Gandhinagar Urban Area
Population estimation is crucial for various applications, from resource allocation to urban planning. Traditional methods such as surveys and censuses are expensive, time-consuming and also heavily dependent on human resources, requiring significant manpower for data collection and processing. In this study a deep learning solution is proposed to estimate population using high resolution (0.3 m) satellite imagery, Digital Elevation Models (DEM) of 0.5m resolution and vector boundaries. Propose…

Data Augmentation for Maltese NLP using Transliterated and Machine Translated Arabic Data
Kurt Micallef, Nizar Habash, Claudia Borg
https://arxiv.org/abs/2509.12853 https://

Data Augmentation for Maltese NLP using Transliterated and Machine Translated Arabic Data
Maltese is a unique Semitic language that has evolved under extensive influence from Romance and Germanic languages, particularly Italian and English. Despite its Semitic roots, its orthography is based on the Latin script, creating a gap between it and its closest linguistic relatives in Arabic. In this paper, we explore whether Arabic-language resources can support Maltese natural language processing (NLP) through cross-lingual augmentation techniques. We investigate multiple strategies for a…

During the #COP30 climate conference in Brazil, Australia's opposition party withdrew from the country's net-zero by 2050 target. It now sees net-zero as a potential 'welcome outcome' of using Australia's resources (coal, gas) plus new energy technologies. Reckless.

Liberal Party formally abandons net zero by 2050 climate target
The decision brings the party closer to the Nationals, which ditched its support for the target earlier this month amid internal turmoil over the Coalition's policy.

Today I learned that you can mount an SMB volume into a Pod directly, without using a PVC, using the csi volume source together with driver: smb.csi.k8s.io. Very useful in a mixed environment. https://kubernetes.io/docs/reference/kubernetes-api/config-and-s…

Volume
Volume represents a named volume in a pod that may be accessed by any container in the pod.

Research on GEO SA-Bi SAR Imaging based on Joint Radar-Communications Waveform
Meng Lian, Xu Zhu
https://arxiv.org/abs/2508.12890 https://arxiv.org/pdf/250…

Research on GEO SA-Bi SAR Imaging based on Joint Radar-Communications Waveform
Joint radar-communications (JRC) technology has attracted massive attention for decades, since it can effectively utilize allocated spectral resources by sharing frequency bands in increasingly crowded environments. In addition, the growing demand for hardware platform sharing which benefits both functionalities motivates more cooperation between radar and communication systems. In order to achieve the coexistence of sensing and communicating operations, joint systems should be designed to perf…

How bars are responding to ICE raids
#resist

How Bars Are Responding to ICE Raids
Amid ICE raids, bars and restaurants are preparing their staff for the worst. Here, organizers and immigration experts share their resources.

Is it hard to keep up with all the awesome extensions and tools for quarto? Check here for an extensive list of resources: #quarto

GitHub - mcanouil/awesome-quarto: A curated list of Quarto talks, tools, examples & articles! Contributions welcome!
A curated list of Quarto talks, tools, examples & articles! Contributions welcome! - mcanouil/awesome-quarto

Characterizing Scaling Trends of Post-Compilation Circuit Resources for NISQ-era QML Models
Rupayan Bhattacharjee, Pau Escofet, Santiago Rodrigo, Sergi Abadal, Carmen G. Almudever, Eduard Alarc\'on
https://arxiv.org/abs/2509.11980

Characterizing Scaling Trends of Post-Compilation Circuit Resources for NISQ-era QML Models
This work investigates the scaling characteristics of post-compilation circuit resources for Quantum Machine Learning (QML) models on connectivity-constrained NISQ processors. We analyze Quantum Kernel Methods and Quantum Neural Networks across processor topologies (linear, ring, grid, star), focusing on SWAP overhead, circuit depth, and two-qubit gate count. Our findings reveal that entangling strategy significantly impacts resource scaling, with circular and shifted circular alternating strat…

Enhancing Robust Multi-Market Participation of Renewable-Based VPPs through Flexible Resources
Hadi Nemati, \'Alvaro Ortega, Pedro S\'anchez-Mart\'in, Lukas Sigrist, Luis Rouco, Ignacio Egido
https://arxiv.org/abs/2510.12589

Enhancing Robust Multi-Market Participation of Renewable-Based VPPs through Flexible Resources
In the transition toward a sustainable power system, renewable-based Virtual Power Plants (RVPPs) have emerged as a promising solution to the challenges of integrating renewable energy sources into electricity markets. Their viability, however, depends on effective market participation strategies and the ability to manage uncertainties while leveraging flexible resources. This paper analyzes the impact of different flexible resources - such as concentrated solar power plants, hydro plants, biom…

Simulation-based validation of Bayes factor computation
Martin Modr\'ak, Sebastian Stroppel, Paul-Christian B\"urkner
https://arxiv.org/abs/2508.11814 https://

Simulation-based validation of Bayes factor computation
We propose and evaluate two methods that validate the computation of Bayes factors: one based on an improved variant of simulation-based calibration checking (SBC) and one based on calibration metrics for binary predictions. We show that in theory, binary prediction calibration is equivalent to a special case of SBC, but with finite resources, binary prediction calibration is typically more sensitive. With well-designed test quantities, SBC can however detect all possible problems in computatio…

A TRRIP Down Memory Lane: Temperature-Based Re-Reference Interval Prediction For Instruction Caching
Henry Kao, Nikhil Sreekumar, Prabhdeep Singh Soni, Ali Sedaghati, Fang Su, Bryan Chan, Maziar Goudarzi, Reza Azimi
https://arxiv.org/abs/2509.14041

A TRRIP Down Memory Lane: Temperature-Based Re-Reference Interval Prediction For Instruction Caching
Modern mobile CPU software pose challenges for conventional instruction cache replacement policies due to their complex runtime behavior causing high reuse distance between executions of the same instruction. Mobile code commonly suffers from large amounts of stalls in the CPU frontend and thus starvation of the rest of the CPU resources. Complexity of these applications and their code footprint are projected to grow at a rate faster than available on-chip memory due to power and area constrain…

Efficient Last-Iterate Convergence in Regret Minimization via Adaptive Reward Transformation
Hang Ren, Yulin Wu, Shuhan Qi, Jiajia Zhang, Xiaozhen Sun, Tianzi Ma, Xuan Wang
https://arxiv.org/abs/2509.13653

Efficient Last-Iterate Convergence in Regret Minimization via Adaptive Reward Transformation
Regret minimization is a powerful method for finding Nash equilibria in Normal-Form Games (NFGs) and Extensive-Form Games (EFGs), but it typically guarantees convergence only for the average strategy. However, computing the average strategy requires significant computational resources or introduces additional errors, limiting its practical applicability. The Reward Transformation (RT) framework was introduced to regret minimization to achieve last-iterate convergence through reward function reg…

The NIAID Discovery Portal: A Unified Search Engine for Infectious and Immune-Mediated Disease Datasets
Ginger Tsueng (The Scripps Research Institute, La Jolla, CA, USA), Emily Bullen (The Scripps Research Institute, La Jolla, CA, USA), Candice Czech (The Scripps Research Institute, La Jolla, CA, USA), Dylan Welzel (The Scripps Research Institute, La Jolla, CA, USA), Leandro Collares (The Scripps Research Institute, La Jolla, CA, USA), Jason Lin (The Scripps Research Institute, La Joll…

The NIAID Discovery Portal: A Unified Search Engine for Infectious and Immune-Mediated Disease Datasets
The NIAID Data Ecosystem Discovery Portal (https://data.niaid.nih.gov) provides a unified search interface for over 4 million datasets relevant to infectious and immune-mediated disease (IID) research. Integrating metadata from domain-specific and generalist repositories, the Portal enables researchers to identify and access datasets using user-friendly filters or advanced queries, without requiring technical expertise. The Portal supports discovery of a wide range of resources, including epide…

New series of talks: Buddhist Approaches to the Natural World
https://ift.tt/SfkDWjI
Prof. Ruth Halperin-Kaddari, LLM, JSD: "Recognition and Justice for Victims of Sexual Violence in…
via Input 4 RELCFP

Oops

On Balancing Sparsity with Reliable Connectivity in Distributed Network Design with Random K-out Graphs
Mansi Sood, Eray Can Elumar, Osman Yagan
https://arxiv.org/abs/2508.11863

On Balancing Sparsity with Reliable Connectivity in Distributed Network Design with Random K-out Graphs
In several applications in distributed systems, an important design criterion is ensuring that the network is sparse, i.e., does not contain too many edges, while achieving reliable connectivity. Sparsity ensures communication overhead remains low, while reliable connectivity is tied to reliable communication and inference on decentralized data reservoirs and computational resources. A class of network models called random K-out graphs appear widely as a heuristic to balance connectivity and sp…

Deep Gaussian Process-based Cost-Aware Batch Bayesian Optimization for Complex Materials Design Campaigns
Sk Md Ahnaf Akif Alvi, Brent Vela, Vahid Attari, Jan Janssen, Danny Perez, Douglas Allaire, Raymundo Arroyave
https://arxiv.org/abs/2509.14408

Deep Gaussian Process-based Cost-Aware Batch Bayesian Optimization for Complex Materials Design Campaigns
The accelerating pace and expanding scope of materials discovery demand optimization frameworks that efficiently navigate vast, nonlinear design spaces while judiciously allocating limited evaluation resources. We present a cost-aware, batch Bayesian optimization scheme powered by deep Gaussian process (DGP) surrogates and a heterotopic querying strategy. Our DGP surrogate, formed by stacking GP layers, models complex hierarchical relationships among high-dimensional compositional features and …

Odin: Effective End-to-End SLA Decomposition for 5G/6G Network Slicing via Online Learning
Duo Cheng, Ramanujan K Sheshadri, Ahan Kak, Nakjung Choi, Xingyu Zhou, Bo Ji
https://arxiv.org/abs/2509.13511 …

Odin: Effective End-to-End SLA Decomposition for 5G/6G Network Slicing via Online Learning
Network slicing plays a crucial role in realizing 5G/6G advances, enabling diverse Service Level Agreement (SLA) requirements related to latency, throughput, and reliability. Since network slices are deployed end-to-end (E2E), across multiple domains including access, transport, and core networks, it is essential to efficiently decompose an E2E SLA into domain-level targets, so that each domain can provision adequate resources for the slice. However, decomposing SLAs is highly challenging due t…

Anthropic announces Skills for Claude, a tool with folders of instructions, scripts, and resources that Claude can load to improve performance on some tasks (Hayden Field/The Verge)
https://www.theverge.com/ai-artificial-intelligence/800868/anthro…

Anthropic turns to ‘skills’ to make Claude more useful at work
Anthropic has announced a new feature for its Claude AI chatbot called Skills, which should make AI agents more useful.

Following the "Geo-Erlebnis-Tag" during the weekend, preceding the Geo4Göttingen conference, the Geo4Change | Earth, Life, Climate, Resources, Materials | main program will start with plenary sessions for registered conference participants today.
https://geo4goettingen2025.de/
The full pro…

"This convening is not an isolated event. It’s the first step in scaling a movement that reimagines how values-driven open science organisations can grow together, share resources, and strengthen the ecosystem we collectively serve. By working together, we can ensure that the future of open science is not only innovative, but also equitable, sustainable, and resilient."
https://www.carpentries.org/blog/2025/09/convening-to-reclaim-and-sustain-open-science-communities/
Great to see this forward looking collaborative work being done by @… @… @… @… and OLS

XBOF: A Cost-Efficient CXL JBOF with Inter-SSD Compute Resource Sharing
Shushu Yi, Yuda An, Li Peng, Xiurui Pan, Qiao Li, Jieming Yin, Guangyan Zhang, Wenfei Wu, Diyu Zhou, Zhenlin Wang, Xiaolin Wang, Yingwei Luo, Ke Zhou, Jie Zhang
https://arxiv.org/abs/2509.10251

XBOF: A Cost-Efficient CXL JBOF with Inter-SSD Compute Resource Sharing
Enterprise SSDs integrate numerous computing resources (e.g., ARM processor and onboard DRAM) to satisfy the ever-increasing performance requirements of I/O bursts. While these resources substantially elevate the monetary costs of SSDs, the sporadic nature of I/O bursts causes severe SSD resource underutilization in just a bunch of flash (JBOF) level. Tackling this challenge, we propose XBOF, a cost-efficient JBOF design, which only reserves moderate computing resources in SSDs at low monetary …

And skills are remarkably simple: just a markdown file with instructions, some (Python) scripts, and optional resources.
Can’t wait for all LLM providers to adapt their new pattern!
https://www.anthropic.com/news/skills (2/2)

Apparently quantum physics is taught in gradeschool these days, and why the heck not! I also learned today how Kepler was nearly finished his ultra-laborious book when he learned Lord Napier had just discovered how logarithms would have made those calculations SO much simpler.
Kepler's book, published posthumously, was banned anyway, but whatever…
Quantum Technology : Education Resources
https://resources.perimeterinstitute.ca/products/quantum-technology

What a world.
Artificial Intelligence (AI) for Canadian Energy Innovation Call for Proposals
https://natural-resources.canada.ca/funding-partnerships/artificial-intelligence-canadian-energy-innovation

Federal employees crowdsource resources to support each other during shutdown - Government Executive
https://www.govexec.com/workforce/2025/10/federal-employees-crowdsource-resources-support-each-other-during-shutdown/408670/

Lightweight Implicit Neural Network for Binaural Audio Synthesis
Xikun Lu, Fang Liu, Weizhi Shi, Jinqiu Sang
https://arxiv.org/abs/2509.14069 https://arxiv…

Lightweight Implicit Neural Network for Binaural Audio Synthesis
High-fidelity binaural audio synthesis is crucial for immersive listening, but existing methods require extensive computational resources, limiting their edge-device application. To address this, we propose the Lightweight Implicit Neural Network (LINN), a novel two-stage framework. LINN first generates initial estimates using a time-domain warping, which is then refined by an Implicit Binaural Corrector (IBC) module. IBC is an implicit neural network that predicts amplitude and phase correctio…

Wherever students, researchers or staff are working from, they should have secure access to the resources they need.
#eduVPN makes that possible.
Created by and for the R&E community, it provides secure off-campus access to library systems, journals, specialised databases and more.
Already used by 200 institutions in 20 countries.
🔗 Learn how to get started:

Machine Learning-Driven Predictive Resource Management in Complex Science Workflows
Tasnuva Chowdhury, Tadashi Maeno, Fatih Furkan Akman, Joseph Boudreau, Sankha Dutta, Shengyu Feng, Adolfy Hoisie, Kuan-Chieh Hsu, Raees Khan, Jaehyung Kim, Ozgur O. Kilic, Scott Klasky, Alexei Klimentov, Tatiana Korchuganova, Verena Ingrid Martinez Outschoorn, Paul Nilsson, David K. Park, Norbert Podhorszki, Yihui Ren, John Rembrandt Steele, Fr\'ed\'eric Suter, Sairam Sri Vatsavai, Torre Wenaus,…

Machine Learning-Driven Predictive Resource Management in Complex Science Workflows
The collaborative efforts of large communities in science experiments, often comprising thousands of global members, reflect a monumental commitment to exploration and discovery. Recently, advanced and complex data processing has gained increasing importance in science experiments. Data processing workflows typically consist of multiple intricate steps, and the precise specification of resource requirements is crucial for each step to allocate optimal resources for effective processing. Estimat…

DeepEyeNet: Generating Medical Report for Retinal Images
Jia-Hong Huang
https://arxiv.org/abs/2509.12534 https://arxiv.org/pdf/2509.12534

DeepEyeNet: Generating Medical Report for Retinal Images
The increasing prevalence of retinal diseases poses a significant challenge to the healthcare system, as the demand for ophthalmologists surpasses the available workforce. This imbalance creates a bottleneck in diagnosis and treatment, potentially delaying critical care. Traditional methods of generating medical reports from retinal images rely on manual interpretation, which is time-consuming and prone to errors, further straining ophthalmologists' limited resources. This thesis investigates t…

Partial Secrecy Analysis in Wireless Systems: Diversity-Enhanced PLS over Generalized Fading Channels
Henry Carvajal Mora, Nathaly Orozco, Fernando Almeida Garc\'ia, Jos\'e Vega-S\'anchez, Felipe Grijalva, Edgar Benitez Olivo
https://arxiv.org/abs/2509.12359

Partial Secrecy Analysis in Wireless Systems: Diversity-Enhanced PLS over Generalized Fading Channels
Securing information in future mobile networks is challenging, especially for devices with limited computational resources. Physical layer security (PLS) offers a viable solution by leveraging wireless channel randomness. When full secrecy is unattainable, the partial secrecy regime provides a realistic alternative. This work analyzes partial secrecy performance under the generalized multicluster fluctuating two-ray (MFTR) fading model, which subsumes many classical fading cases. We study a sys…

UniFusion: Vision-Language Model as Unified Encoder in Image Generation
Kevin Li, Manuel Brack, Sudeep Katakol, Hareesh Ravi, Ajinkya Kale
https://arxiv.org/abs/2510.12789 https…

UniFusion: Vision-Language Model as Unified Encoder in Image Generation
Although recent advances in visual generation have been remarkable, most existing architectures still depend on distinct encoders for images and text. This separation constrains diffusion models' ability to perform cross-modal reasoning and knowledge transfer. Prior attempts to bridge this gap often use the last layer information from VLM, employ multiple visual encoders, or train large unified models jointly for text and image generation, which demands substantial computational resources and l…

Global #TippingPoints Report 2025: https://global-tipping-points.org/resources-gtp/ (summary and full report) -> Bleaching, Melting, Slowing - New report tracks growing risks of Earth system tipping points: https://www.pik-potsdam.de/en/news/latest-news/files/bleaching-melting-slowing-new-report-tracks-growing-risks-of-earth-system-tipping-points-4 -> The planet has entered a ‘new reality’ as it hits its first climate tipping point, landmark report finds: https://edition.cnn.com/2025/10/13/climate/tipping-points-coral-reef-ice-amoc

More sell-off of highly valuable address reputation resources ending up at low end hosting providers.
https://social.bgp.tools/@transfers/statuses/01K511EY4MQHH6NQVH3VGKD6VM

Post by IP/ASN Transfers, @transfers@bgp.tools
"St. Catherine University" (ARIN) transferred: 140.225.224.0/21 (Taken from 140.225.224.0/19), 140.225.232.0/21 (Taken from 140.225.224.0/19), 140.225.240.0/21 (Taken from 140.225.224.0/19), 140.225.248.0/21 (Taken from 140.225.224.0/19) to "steel-axis LLC" (RIPE) (Estimated Market V...

@… Doesn't really matter tbh you will be good with most recent Ubuntu as well. Go with something that you feel familiar with or something that has a good resources online.
I would only advise against Debian and Manjaro - everything else will be just fine. I had no issues playing Steam games on Ubuntu, Fedora; SteamOS is based on Arch (that should be a hint); I ha…

New series of talks: Buddhist Approaches to the Natural World https://networks.h-net.org/group/announcements/20128816/new-series-talks-buddhist-approaches-natural-world

🎉 Resources 1.9 has just been released, here are the highlights:
• Thanks to the volunteers of GNOME Damned Lies, Resources is now available in many more languages
• Support for the new “xe” driver for Intel GPUs
• Link information is now also shown for Wi-Fi interfaces
• Resources can now halt graphical updates when its window is not in view to save on power
• Update to the GNOME 49 runtime
• Internal changes for less code complexity and clearer architecture…

One, Two, Three: One empirical evaluation of a two-copy shadow tomography scheme with triple efficiency
Viet T. Tran, Richard Kueng
https://arxiv.org/abs/2508.11744 https://

One, Two, Three: One empirical evaluation of a two-copy shadow tomography scheme with triple efficiency
Shadow tomography protocols have recently emerged as powerful tools for efficient quantum state learning, aiming to reconstruct expectation values of observables with fewer resources than traditional quantum state tomography. For the particular case of estimating Pauli observables, entangling two-copy measurement schemes can offer an exponential improvement in sample complexity over any single-copy strategy conceivable [1, Huang, Kueng, Preskill, PRL(2021)]. A recent refinement of these ideas b…

Jets lacked 'resources' to get Parsons, Jones says https://www.espn.com/nfl/story/_/id/46254910/cowboys-offered-micah-parsons-jets-jerry-jones-says

A Decision Theoretic Perspective on Artificial Superintelligence: Coping with Missing Data Problems in Prediction and Treatment Choice
Jeff Dominitz, Charles F. Manski
https://arxiv.org/abs/2509.12388 …

A Decision Theoretic Perspective on Artificial Superintelligence: Coping with Missing Data Problems in Prediction and Treatment Choice
Enormous attention and resources are being devoted to the quest for artificial general intelligence and, even more ambitiously, artificial superintelligence. We wonder about the implications for our methodological research, which aims to help decision makers cope with what econometricians call identification problems, inferential problems in empirical research that do not diminish as sample size grows. Of particular concern are missing data problems in prediction and treatment choice. Essential…

It's the end of #BannedBooksWeek, but not the end of book bans. Local involvement with your library is the best way to fight back and defend everyone's access to knowledge. Check out For The People's excellent new Libraries 101 video to learn how!

Resources for Music Grant seekers, updated for 2025
https://www.musiciansway.com/blog/2012/07/resources-for-grantseekers/

Observability and parameter estimation of a generic model for aggregated distributed energy resources
Bukunmi Gabriel Odunlami, Marcos Netto
https://arxiv.org/abs/2510.10892 htt…

Observability and parameter estimation of a generic model for aggregated distributed energy resources
We propose a novel framework for estimating the parameters of an aggregated distributed energy resources (der_a) model. First, we introduce a rigorous method to determine whether all model parameters are estimable. When they are not, our approach identifies the subset of parameters that can be estimated. The proposed framework offers new insights into the number and specific parameters that can be reliably estimated based on commonly available measurements. It also highlights the limitations of…

Exploring the Viability of the Updated World3 Model for Examining the Impact of Computing on Planetary Boundaries
Nara Guliyeva, Eshta Bhardwaj, Christoph Becker
https://arxiv.org/abs/2510.07634

Exploring the Viability of the Updated World3 Model for Examining the Impact of Computing on Planetary Boundaries
The influential Limits to Growth report introduced a system dynamics-based model to demonstrate global dynamics of the world's population, industry, natural resources, agriculture, and pollution between 1900-2100. In current times, the rapidly expanding trajectory of data center development, much of it linked to AI, uses increasing amounts of natural resources. The extraordinary amount of resources claimed warrants the question of how computing trajectories contribute to exceeding planetary bou…

Human-AI Use Patterns for Decision-Making in Disaster Scenarios: A Systematic Review
Emmanuel Adjei Domfeh, Christopher L. Dancy
https://arxiv.org/abs/2509.12034 https://…

Human-AI Use Patterns for Decision-Making in Disaster Scenarios: A Systematic Review
In high-stakes disaster scenarios, timely and informed decision-making is critical yet often challenged by uncertainty, dynamic environments, and limited resources. This paper presents a systematic review of Human-AI collaboration patterns that support decision-making across all disaster management phases. Drawing from 51 peer-reviewed studies, we identify four major categories: Human-AI Decision Support Systems, Task and Resource Coordination, Trust and Transparency, and Simulation and Trainin…

Food Data in the Semantic Web: A Review of Nutritional Resources, Knowledge Graphs, and Emerging Applications
Darko Sasanski, Riste Stojanov
https://arxiv.org/abs/2509.00986 htt…

Food Data in the Semantic Web: A Review of Nutritional Resources, Knowledge Graphs, and Emerging Applications
This comprehensive review explores food data in the Semantic Web, highlighting key nutritional resources, knowledge graphs, and emerging applications in the food domain. It examines prominent food data resources such as USDA, FoodOn, FooDB, and Recipe1M+, emphasizing their contributions to nutritional data representation. Special focus is given to food entity linking and recognition techniques, which enable integration of heterogeneous food data sources into cohesive semantic resources. The rev…

https://guthrienewspage.com/guthrie-public-schools-shares-resources-for-families-affected-by-snap-interruption/

RE: https://mastodon.social/@CentralBylines/115543613034480430
This is the big problem with action on climate change: the people in a position to lose out have huge financial resources, and they're more than willing to use them, even with the si…

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.

"AI data centers projected to strain US energy and water resources by 2030"
#AI #ArtificialIntelligence #US #USA

AI data centers projected to strain US energy and water resources by 2030
As the everyday use of AI has exploded in recent years, so have the energy demands of the computing infrastructure that supports it. But the environmental toll of these large data centers, which suck up gigawatts of power and require vast amounts of water for cooling, has been too diffuse and difficult to quantify.

So #Zope released new versions of their packages, with pkg-resources style namespace removal.
Totally normal way to do the bumps:
1. At first, keep the existing testing hack (writing `__init__.py`).
2. Notice that the next package fails because it expects test paths relative to `zope` subdirectory. Skip it for now.
3. While doing the next package, realize you could remove that hack and simply run tests within the `zope` subdirectory! Go back and update all the previous packages, including the one that failed before.
4. Back to bumping. Notice that in the very next package you've had an even better solution: instead of `cd`, you just called `python -m unittest -s …`. Go back and update all the previous packages.
5. Back to bumping. The very next package turns out to actually expects test paths relative to the top-level site-packages directory. Well, you can use a hybrid of the `__init__.py` hack with `python -m unittest -s …`.
#Gentoo #Python

Bandits with Single-Peaked Preferences and Limited Resources
Gur Keinan, Rotem Torkan, Omer Ben-Porat
https://arxiv.org/abs/2510.09425 https://arxiv.org/pd…

Bandits with Single-Peaked Preferences and Limited Resources
We study an online stochastic matching problem in which an algorithm sequentially matches $U$ users to $K$ arms, aiming to maximize cumulative reward over $T$ rounds under budget constraints. Without structural assumptions, computing the optimal matching is NP-hard, making online learning computationally infeasible. To overcome this barrier, we focus on \emph{single-peaked preferences} -- a well-established structure in social choice theory, where users' preferences are unimodal with respect to…

Bhaasha, Bhasa, Zaban: A Survey for Low-Resourced Languages in South Asia -- Current Stage and Challenges
Sampoorna Poria, Xiaolei Huang
https://arxiv.org/abs/2509.11570 https:/…

Bhaasha, Bhasa, Zaban: A Survey for Low-Resourced Languages in South Asia - Current Stage and Challenges
Rapid developments of large language models have revolutionized many NLP tasks for English data. Unfortunately, the models and their evaluations for low-resource languages are being overlooked, especially for languages in South Asia. Although there are more than 650 languages in South Asia, many of them either have very limited computational resources or are missing from existing language models. Thus, a concrete question to be answered is: Can we assess the current stage and challenges to info…

A Closeness Centrality-based Circuit Partitioner for Quantum Simulations
Doru Thom Popovici, Harlin Lee, Mauro Del Ben, Naoki Yoshioka, Nobuyasu Ito, Katherine Klymko, Daan Camps, Anastasiia Butko
https://arxiv.org/abs/2509.14098

A Closeness Centrality-based Circuit Partitioner for Quantum Simulations
Simulating quantum circuits (QC) on high-performance computing (HPC) systems has become an essential method to benchmark algorithms and probe the potential of large-scale quantum computation despite the limitations of current quantum hardware. However, these simulations often require large amounts of resources, necessitating the use of large clusters with thousands of compute nodes and large memory footprints. In this work, we introduce an end-to-end framework that provides an efficient partiti…

Understanding the Geometry of Faulted Power Systems under High Penetration of Inverter-Based Resources via Ellipse Fitting and Geometric Algebra
Jorge Ventura, Jaroslav Hrdina, Ale\v{s} N\'avrat, Marek Stodola, Ahmad Eid, Santiago Sanchez-Acevedo, Francisco G. Montoya
https://arxiv.org/abs/2509.10044

Understanding the Geometry of Faulted Power Systems under High Penetration of Inverter-Based Resources via Ellipse Fitting and Geometric Algebra
Power systems with high penetration of inverter-based resources (IBR) present significant challenges for conventional protection schemes, with traditional distance protection methods failing to detect line-to-line faults during asymmetric conditions. This paper presents a methodology for electrical fault detection and classification using ellipse fitting and geometric algebra applied to voltage and current space curves. The approach characterizes electrical faults by fitting ellipses to voltage…

Neuromorphic Intelligence
Marcel van Gerven
https://arxiv.org/abs/2509.11940 https://arxiv.org/pdf/2509.11940

Neuromorphic Intelligence
Neuromorphic computing seeks to replicate the remarkable efficiency, flexibility, and adaptability of the human brain in artificial systems. Unlike conventional digital approaches, which depend on massive computational and energy resources, neuromorphic systems exploit brain-inspired principles of computation to achieve orders of magnitude greater energy efficiency. By drawing on insights from artificial intelligence, neuroscience, physics, chemistry, and materials science, neuromorphic computi…

Learning quantum many-body data locally: A provably scalable framework
Koki Chinzei, Quoc Hoan Tran, Norifumi Matsumoto, Yasuhiro Endo, Hirotaka Oshima
https://arxiv.org/abs/2509.13705

Learning quantum many-body data locally: A provably scalable framework
Machine learning (ML) holds great promise for extracting insights from complex quantum many-body data obtained in quantum experiments. This approach can efficiently solve certain quantum problems that are classically intractable, suggesting potential advantages of harnessing quantum data. However, addressing large-scale problems still requires significant amounts of data beyond the limited computational resources of near-term quantum devices. We propose a scalable ML framework called Geometrica…

Ratio1 -- AI meta-OS
Andrei Damian, Petrica Butusina, Alessandro De Franceschi, Vitalii Toderian, Marius Grigoras, Cristian Bleotiu
https://arxiv.org/abs/2509.12223 https://

Ratio1 -- AI meta-OS
We propose the Ratio1 AI meta-operating system (meta-OS), a decentralized MLOps protocol that unifies AI model development, deployment, and inference across heterogeneous edge devices. Its key innovation is an integrated blockchain-based framework that transforms idle computing resources (laptops, smartphones, cloud VMs) into a trustless global supercomputer. The architecture includes novel components: a decentralized authentication layer (dAuth), an in-memory state database (CSTORE), a distrib…

Proactive and Reactive Autoscaling Techniques for Edge Computing
Suhrid Gupta, Muhammed Tawfiqul Islam, Rajkumar Buyya
https://arxiv.org/abs/2510.10166 https://

Proactive and Reactive Autoscaling Techniques for Edge Computing
Edge computing allows for the decentralization of computing resources. This decentralization is achieved through implementing microservice architectures, which require low latencies to meet stringent service level agreements (SLA) such as performance, reliability, and availability metrics. While cloud computing offers the large data storage and computation resources necessary to handle peak demands, a hybrid cloud and edge environment is required to ensure SLA compliance. Several auto-scaling a…

An Internet of Intelligent Things Framework for Decentralized Heterogeneous Platforms
Vadim Allayev, Mahbubur Rahman
https://arxiv.org/abs/2509.10507 https://

An Internet of Intelligent Things Framework for Decentralized Heterogeneous Platforms
Internet of Intelligent Things (IoIT), an emerging field, combines the utility of Internet of Things (IoT) devices with the innovation of embedded AI algorithms. However, it does not come without challenges, and struggles regarding available computing resources, energy supply, and storage limitations. In particular, many impediments to IoIT are linked to the energy-efficient deployment of machine learning (ML)/deep learning (DL) models in embedded devices. Research has been conducted to design …

This #BannedBooksWeek it is more important than ever to celebrate the freedom to read and step into roles that continue to fight for one of the last free spaces, libraries. We created a Friends of the Library zine so you can learn how! http://www.

High Plains Public Radio plans to expand rural coverage with a "contributors network" of part-time and volunteer community members after receiving a $750K grant (Sophie Culpepper/Nieman Lab)
https://www.nie…

With public media under siege, High Plains Public Radio builds a blueprint to cover more rural news with fewer resources
To expand regional coverage while keeping costs down, HPPR aims to build out a “contributors network” of part-time and volunteer community members coordinated by a lean central editorial team.

Walking back to our car from the car show at Little York Lake we saw this couple holding hands with shirts reflecting a positive Christianity
#photo #photography #religion

I’ve always felt a deep resentment toward the wealthy, not just for their excessive privilege, but for how they hoard resources that could ease so much human suffering. It infuriates me that their fortunes grow while people sleep on the streets and struggle to survive another day.
I believe everyone deserves the fundamentals that make life dignified, secure housing, nourishment, healthcare, education, and fair social support. No one should have to beg for what should already belong to …

UN Emissions Gap Report 2025: new national emission reduction commitments (NDCs) shave another 0.3°C off the projected warming, now at 2.3-2.5°C and 2.8°C based on current policies. The upcoming withdrawal of the Trump regime will mean that 0.1°C is added again.
https://www.unep.org/resources/emissions-…

Neural Scaling Laws for Deep Regression
Tilen Cadez, Kyoung-Min Kim
https://arxiv.org/abs/2509.10000 https://arxiv.org/pdf/2509.10000

Neural Scaling Laws for Deep Regression
Neural scaling laws--power-law relationships between generalization errors and characteristics of deep learning models--are vital tools for developing reliable models while managing limited resources. Although the success of large language models highlights the importance of these laws, their application to deep regression models remains largely unexplored. Here, we empirically investigate neural scaling laws in deep regression using a parameter estimation model for twisted van der Waals magnet…

Arabic Large Language Models for Medical Text Generation
Abdulrahman Allam, Seif Ahmed, Ali Hamdi, Ammar Mohammed
https://arxiv.org/abs/2509.10095 https://…

Arabic Large Language Models for Medical Text Generation
Efficient hospital management systems (HMS) are critical worldwide to address challenges such as overcrowding, limited resources, and poor availability of urgent health care. Existing methods often lack the ability to provide accurate, real-time medical advice, particularly for irregular inputs and underrepresented languages. To overcome these limitations, this study proposes an approach that fine-tunes large language models (LLMs) for Arabic medical text generation. The system is designed to a…

New series of talks: Buddhist Approaches to the Natural World
https://ift.tt/CmDb54a
Prof. Ruth Halperin-Kaddari, LLM, JSD: "Recognition and Justice for Victims of Sexual Violence in…
via Input 4 RELCFP

A Unified Learning-based Optimization Framework for 0-1 Mixed Problems in Wireless Networks
Kairong Ma, Yao Sun, Shuheng Hua, Muhammad Ali Imran, Walid Saad
https://arxiv.org/abs/2509.12664

A Unified Learning-based Optimization Framework for 0-1 Mixed Problems in Wireless Networks
Several wireless networking problems are often posed as 0-1 mixed optimization problems, which involve binary variables (e.g., selection of access points, channels, and tasks) and continuous variables (e.g., allocation of bandwidth, power, and computing resources). Traditional optimization methods as well as reinforcement learning (RL) algorithms have been widely exploited to solve these problems under different network scenarios. However, solving such problems becomes more challenging when dea…

Vendi Information Gain for Active Learning and its Application to Ecology
Quan Nguyen, Adji Bousso Dieng
https://arxiv.org/abs/2509.10390 https://arxiv.org…

Vendi Information Gain for Active Learning and its Application to Ecology
While monitoring biodiversity through camera traps has become an important endeavor for ecological research, identifying species in the captured image data remains a major bottleneck due to limited labeling resources. Active learning -- a machine learning paradigm that selects the most informative data to label and train a predictive model -- offers a promising solution, but typically focuses on uncertainty in the individual predictions without considering uncertainty across the entire dataset.…

HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning
Brennen Hill
https://arxiv.org/abs/2509.09801 https://

HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning
The adaptation of large language models (LLMs) to specialized reasoning tasks is fundamentally constrained by computational resources. Parameter-Efficient Fine-Tuning (PEFT) methods have emerged as a powerful solution, yet the landscape of these techniques is diverse, with distinct methods operating in either the model's weight space or its representation space. This paper investigates the hypothesis that a synergistic combination of these paradigms can unlock superior performance and efficienc…

Efficient LLM Inference over Heterogeneous Edge Networks with Speculative Decoding
Bingjie Zhu, Zhixiong Chen, Liqiang Zhao, Hyundong Shin, Arumugam Nallanathan
https://arxiv.org/abs/2510.11331

Efficient LLM Inference over Heterogeneous Edge Networks with Speculative Decoding
Large language model (LLM) inference at the network edge is a promising serving paradigm that leverages distributed edge resources to run inference near users and enhance privacy. Existing edge-based LLM inference systems typically adopt autoregressive decoding (AD), which only generates one token per forward pass. This iterative process, compounded by the limited computational resources of edge nodes, results in high serving latency and constrains the system's ability to support multiple users…

MinatoLoader: Accelerating Machine Learning Training Through Efficient Data Preprocessing
Rahma Nouaji, Stella Bitchebe, Ricardo Macedo, Oana Balmau
https://arxiv.org/abs/2509.10712

MinatoLoader: Accelerating Machine Learning Training Through Efficient Data Preprocessing
Data loaders are used by Machine Learning (ML) frameworks like PyTorch and TensorFlow to apply transformations to data before feeding it into the accelerator. This operation is called data preprocessing. Data preprocessing plays an important role in the ML training workflow because if it is inefficiently pipelined with the training, it can yield high GPU idleness, resulting in important training delays. Unfortunately, existing data loaders turn out to waste GPU resources, with $76\%$ GPU idlene…

The (R)evolution of Scientific Workflows in the Agentic AI Era: Towards Autonomous Science
Woong Shin, Renan Souza, Daniel Rosendo, Fr\'ed\'eric Suter, Feiyi Wang, Prasanna Balaprakash, Rafael Ferreira da Silva
https://arxiv.org/abs/2509.09915

The (R)evolution of Scientific Workflows in the Agentic AI Era: Towards Autonomous Science
Modern scientific discovery increasingly requires coordinating distributed facilities and heterogeneous resources, forcing researchers to act as manual workflow coordinators rather than scientists. Advances in AI leading to AI agents show exciting new opportunities that can accelerate scientific discovery by providing intelligence as a component in the ecosystem. However, it is unclear how this new capability would materialize and integrate in the real world. To address this, we propose a conce…

Underground Power Distribution System Restoration Using Inverter Based Resources
Wenlong Shi, Hongyi Li, Zhaoyu Wang
https://arxiv.org/abs/2510.08356 https://

Underground Power Distribution System Restoration Using Inverter Based Resources
Underground power distribution systems (PDSs) are increasingly deployed in urban areas. The integration of smart devices including smart switchgears, pad-mounted distribution transformers and inverter-based resources (IBRs) enhance system resilience, however simultaneously introducing unique challenges. The challenges include inrush currents caused by trapped charges in underground cables, ferroresonance in distribution transformers during energization, and three-phase load imbalance resulting …

When quantum resources backfire: Non-gaussianity and symplectic coherence in noisy bosonic circuits
Varun Upreti, Ulysse Chabaud, Zo\"e Holmes, Armando Angrisani
https://arxiv.org/abs/2510.07264

When quantum resources backfire: Non-gaussianity and symplectic coherence in noisy bosonic circuits
Analyzing the impact of noise is of fundamental importance to understand the advantages provided by quantum systems. While the classical simulability of noisy discrete-variable systems is increasingly well understood, noisy bosonic circuits are more challenging to simulate and analyze. Here, we address this gap by introducing the $\textit{displacement propagation}$ algorithm, a continuous-variable analogue of Pauli propagation for simulating noisy bosonic circuits. By exploring the interplay of…