Tootfinder

Some nice examples in the 'use cases' section of AI for Humanists https://aiforhumanists.com/guides/usecases/ - from OCR to annotation to identifying voices and styles

Software Development Aspects of Integrating Linear Algebra Libraries
Marcel Koch, Tobias Ribizel, Pratik Nayak, Fritz G\"obel, Gregor Olenik, Terry Cojean
https://arxiv.org/abs/2509.16081

Software Development Aspects of Integrating Linear Algebra Libraries
Many scientific discoveries are made through, or aided by, the use of simulation software. These sophisticated software applications are not built from the ground up, instead they rely on smaller parts for specific use cases, usually from domains unfamiliar to the application scientists. The software library Ginkgo is one of these building blocks to handle sparse numerical linear algebra on different platforms. By using Ginkgo, applications are able to ease the transition to modern systems, and…

Targeted Fine-Tuning of DNN-Based Receivers via Influence Functions
Marko Tuononen, Heikki Penttinen, Ville Hautam\"aki
https://arxiv.org/abs/2509.15950 https://

Targeted Fine-Tuning of DNN-Based Receivers via Influence Functions
We present the first use of influence functions for deep learning-based wireless receivers. Applied to DeepRx, a fully convolutional receiver, influence analysis reveals which training samples drive bit predictions, enabling targeted fine-tuning of poorly performing cases. We show that loss-relative influence with capacity-like binary cross-entropy loss and first-order updates on beneficial samples most consistently improves bit error rate toward genie-aided performance, outperforming random fi…

Documenting Deployment with Fabric: A Repository of Real-World AI Governance
Mackenzie Jorgensen, Kendall Brogle, Katherine M. Collins, Lujain Ibrahim, Arina Shah, Petra Ivanovic, Noah Broestl, Gabriel Piles, Paul Dongha, Hatim Abdulhussein, Adrian Weller, Jillian Powers, Umang Bhatt
https://arxiv.org/abs/2508.14119

Documenting Deployment with Fabric: A Repository of Real-World AI Governance
Artificial intelligence (AI) is increasingly integrated into society, from financial services and traffic management to creative writing. Academic literature on the deployment of AI has mostly focused on the risks and harms that result from the use of AI. We introduce Fabric, a publicly available repository of deployed AI use cases to outline their governance mechanisms. Through semi-structured interviews with practitioners, we collect an initial set of 20 AI use cases. In addition, we co-desig…

I, too, think some of the efforts of the CSSWG have gotten ahead of the use cases and I, too, think catching our breath would be good.
“Chris’ Corner: Stage 2”
https://blog.codepen.io/2025/10/20/chris-corner-stage-2/

In Numeris Veritas: An Empirical Measurement of Wi-Fi Integration in Industry
Vyron Kampourakis, Christos Smiliotopoulos, Vasileios Gkioulos, Sokratis Katsikas
https://arxiv.org/abs/2509.16987

In Numeris Veritas: An Empirical Measurement of Wi-Fi Integration in Industry
Traditional air gaps in industrial systems are disappearing as IT technologies permeate the OT domain, accelerating the integration of wireless solutions like Wi-Fi. Next-generation Wi-Fi standards (IEEE 802.11ax/be) meet performance demands for industrial use cases, yet their introduction raises significant security concerns. A critical knowledge gap exists regarding the empirical prevalence and security configuration of Wi-Fi in real-world industrial settings. This work addresses this by mini…

Twisted Malle's Conjecture
Tanav Choudhary
https://arxiv.org/abs/2509.16770 https://arxiv.org/pdf/2509.16770 …

Twisted Malle's Conjecture
In this paper, we use inductive methods similar to those employed in a 2025 paper by Alberts, Lemke Oliver, Wang and Wood in order to prove many new cases of the Twisted Malle's Conjecture. Previously, this conjecture had only been proven for $T \trianglelefteq G$ where $T$ is abelian, and for $S_3^m \trianglelefteq S_3 \wr B$. We prove many new examples of this conjecture, such as for $A \wr M \trianglelefteq A \wr B$ where $A$ is a finite abelian $p$-group, $B$ is a $p$-group, and $M$ is a pr…

Retrieval-Augmented Generation in Industry: An Interview Study on Use Cases, Requirements, Challenges, and Evaluation
Lorenz Brehme, Benedikt Dornauer, Thomas Str\"ohle, Maximilian Ehrhart, Ruth Breu
https://arxiv.org/abs/2508.14066

Retrieval-Augmented Generation in Industry: An Interview Study on Use Cases, Requirements, Challenges, and Evaluation
Retrieval-Augmented Generation (RAG) is a well-established and rapidly evolving field within AI that enhances the outputs of large language models by integrating relevant information retrieved from external knowledge sources. While industry adoption of RAG is now beginning, there is a significant lack of research on its practical application in industrial contexts. To address this gap, we conducted a semistructured interview study with 13 industry practitioners to explore the current state of R…

OpenAI releases the first detailed public study on how people use ChatGPT: 73% of chats were non-work related, practical guidance was the top use case, and more (Gerrit De Vynck/Washington Post)
https://www.washingtonpost.com/technology/2025/09/15/openai-…

Here’s what the data says people ask ChatGPT
OpenAI released the first detailed public study on who uses its chatbot and what they most often ask it to do.

Aaron Rupar ‪@atrupar.com€
Trump: "I'm allowed as you know as president, like 50% of the presidents have used the Insurrection Act. Everybody agrees you're allowed to use that and there is no more court cases, there is no more anything. We're trying to do it in a nicer manner, but we can always use the Insurrection Act." — Bluesky
https://bsky.app/profile/atrupar.com/post/3m3ln7ru4v72f

🌟 New SIGs Spotlight: SIG-AI 🌟
A new space for collaboration on Artificial Intelligence within the NREN community is here.
SIG-AI brings the Research & Education community together to share expertise, best practices, and explore practical use cases of AI in NREN context—from cybersecurity and High-Performance Computing (HPC) to network automation and next-generation networks.
📖 For more insights, read the full interview with Leonie Schäfer (@…

SDBench: A Comprehensive Benchmark Suite for Speaker Diarization
Eduardo Pacheco, Atila Orhon, Berkin Durmus, Blaise Munyampirwa, Andrey Leonov
https://arxiv.org/abs/2507.16136

SDBench: A Comprehensive Benchmark Suite for Speaker Diarization
Even state-of-the-art speaker diarization systems exhibit high variance in error rates across different datasets, representing numerous use cases and domains. Furthermore, comparing across systems requires careful application of best practices such as dataset splits and metric definitions to allow for apples-to-apples comparison. We propose SDBench (Speaker Diarization Benchmark), an open-source benchmark suite that integrates 13 diverse datasets with built-in tooling for consistent and fine-gr…

(LinkedIn) Revision Implant is despite its name already quickly looking for markets beyond visual prostheses https://www.linkedin.com/posts/revision-implant-nv_elmedix-medicalinnovation-oncology-activity-7363137424329252864-bp…

The expertise that we have developed in extreme miniaturization of medical devices is also finding its way to use cases beyond visual prostheses: in that regard, we are proud to announce that we have… | ReVision Implant
The expertise that we have developed in extreme miniaturization of medical devices is also finding its way to use cases beyond visual prostheses: in that regard, we are proud to announce that we have signed a long-term supply contract with Elmedix, to deliver a critical component to be used in their therapy. Elmedix is a clinical-stage medtech company that is developing a revolutionary heat-based therapy for metastasized cancers. We wish them all the best in their coming second round of clinic…

Why Johnny Can't Use Agents: Industry Aspirations vs. User Realities with AI Agent Software
Pradyumna Shome, Sashreek Krishnan, Sauvik Das
https://arxiv.org/abs/2509.14528 h…

Why Johnny Can't Use Agents: Industry Aspirations vs. User Realities with AI Agent Software
There is growing imprecision about what "AI agents" are, what they can do, and how effectively they can be used by their intended users. We pose two key research questions: (i) How does the tech industry conceive of and market "AI agents"? (ii) What challenges do end-users face when attempting to use commercial AI agents for their advertised uses? We first performed a systematic review of marketed use cases for 102 commercial AI agents, finding that they fall into three umbrella categories: orc…

ISCA: A Framework for Interview-Style Conversational Agents
Charles Welch, Allison Lahnala, Vasudha Varadarajan, Lucie Flek, Rada Mihalcea, J. Lomax Boyd, Jo\~ao Sedoc
https://arxiv.org/abs/2508.14344 …

ISCA: A Framework for Interview-Style Conversational Agents
We present a low-compute non-generative system for implementing interview-style conversational agents which can be used to facilitate qualitative data collection through controlled interactions and quantitative analysis. Use cases include applications to tracking attitude formation or behavior change, where control or standardization over the conversational flow is desired. We show how our system can be easily adjusted through an online administrative panel to create new interviews, making the …

A Comparative Study of Delta Parquet, Iceberg, and Hudi for Automotive Data Engineering Use Cases
Dinesh Eswararaj, Ajay Babu Nellipudi, Vandana Kollati
https://arxiv.org/abs/2508.13396

A Comparative Study of Delta Parquet, Iceberg, and Hudi for Automotive Data Engineering Use Cases
The automotive industry generates vast amounts of data from sensors, telemetry, diagnostics, and real-time operations. Efficient data engineering is critical to handle challenges of latency, scalability, and consistency. Modern data lakehouse formats Delta Parquet, Apache Iceberg, and Apache Hudi offer features such as ACID transactions, schema enforcement, and real-time ingestion, combining the strengths of data lakes and warehouses to support complex use cases. This study presents a comparati…

Community Covert Communication - Dynamic Mass Covert Communication Through Social Media
Eric Filiol
https://arxiv.org/abs/2509.17508 https://arxiv.org/pdf/…

Community Covert Communication - Dynamic Mass Covert Communication Through Social Media
Since the early 2010s, social network-based influence technologies have grown almost exponentially. Initiated by the U.S. Army's early OEV system in 2011, a number of companies specializing in this field have emerged. The most (in)famous cases are Bell Pottinger, Cambridge Analytica, Aggregate-IQ and, more recently, Team Jorge. In this paper, we consider the use-case of sock puppet master activities, which consist in creating hundreds or even thousands of avatars, in organizing them into comm…

📊 Versatile use cases include summarizing articles explaining complex concepts testing knowledge modifying recipes comparing products and making informed decisions
✍️ Get key takeaways from articles pages or discussion threads without leaving your current browsing session maintaining focus and workflow efficiency
🔍 Ask questions about content you're reading and receive relevant answers and explanations using the current page's information for accurate context

Discrete Optimization of Min-Max Violation and its Applications Across Computational Sciences
Cheikh Ahmed, Mahdi Mostajabdaveh, Samin Aref, Zirui Zhou
https://arxiv.org/abs/2508.13437

Discrete Optimization of Min-Max Violation and its Applications Across Computational Sciences
We introduce the Discrete Min-Max Violation (DMMV) as a general optimization problem which seeks an assignment of discrete values to variables that minimizes the largest constraint violation. This context-free mathematical formulation is applicable to a wide range of use cases that have worst-case performance requirements. After defining the DMMV problem mathematically, we explore its properties to establish a foundational understanding. To tackle DMMV instance sizes of practical relevance, we …

Shape-from-Template with Generalised Camera
Agniva Sengupta, Stefan Zachow
https://arxiv.org/abs/2508.13791 https://arxiv.org/pdf/2508.13791

Shape-from-Template with Generalised Camera
This article presents a new method for non-rigidly registering a 3D shape to 2D keypoints observed by a constellation of multiple cameras. Non-rigid registration of a 3D shape to observed 2D keypoints, i.e., Shape-from-Template (SfT), has been widely studied using single images, but SfT with information from multiple-cameras jointly opens new directions for extending the scope of known use-cases such as 3D shape registration in medical imaging and registration from hand-held cameras, to name a …

Perils of the Pentagon's Plan to Use Military Lawyers to Adjudicate Immigration Cases (Ilya Somin/Reason)
https://reason.com/volokh/2025/09/07/perils-of-the-pentagons-plan-to-use-military-lawyers-to-adjudicate-immigration-cases/
http://www.memeorandum.com/250907/p75#a250907p75

I think we should use CSS logical properties wherever we can. Chris Coyier has outlined some cases where we cannot:
https://frontendmasters.com/blog/should-we-never-use-non-logical-properties/
I made a traditional to logical mapping in [checks wat…

Should we NEVER use non-logical properties? – Frontend Masters Blog
Best bet: just always use them. More nuanced take: there is a few situations where using the physical property is still releavant.

Quantum Computing Technology Roadmaps and Capability Assessment for Scientific Computing -- An analysis of use cases from the NERSC workload
Daan Camps, Ermal Rrapaj, Katherine Klymko, Hyeongjin Kim, Kevin Gott, Siva Darbha, Jan Balewski, Brian Austin, Nicholas J. Wright
https://arxiv.org/abs/2509.09882

Quantum Computing Technology Roadmaps and Capability Assessment for Scientific Computing -- An analysis of use cases from the NERSC workload
The National Energy Research Scientific Computing Center (NERSC), as the high-performance computing (HPC) facility for the Department of Energy's Office of Science, recognizes the essential role of quantum computing in its future mission. In this report, we analyze the NERSC workload and identify materials science, quantum chemistry, and high-energy physics as the science domains and application areas that stand to benefit most from quantum computers. These domains jointly make up over 50% of t…

A Use Case Lens on Digital Cultural Heritage
Gustavo Candela, Milena Dobreva, Henk Alkemade, Olga Holownia, Mahendra Mahey, Sarah Ames, Karen Renaud, Ines Vodopivec, Benjamin Charles Germain Lee, Thomas Padilla, Steven Claeyssens, Isto Huvila, Beth Knazook
https://arxiv.org/abs/2509.08710

A Use Case Lens on Digital Cultural Heritage
This article proposes a novel methodological approach for developing use cases for CH e-infrastuctures documented using Jupyter Notebooks (JNs), enabling transparency and reproducibility. We also address the present problem of use cases that are not consistently documented to cover all key aspects that are derived from the use case literature review outside of CH field to define a useful use case. Purpose. Our primary objective is to explore the practices around creating and analysing use cas…

Continuing on my Meshtastic kick, (probably because I keep buying radios to play with...) This time I have a configuration guide for common settings I've found which are useful. Still a work in progress but I think most of the common options are there.
If I've forgotten something, gotten something wrong, or you have a trick I should add, let me know!

Useful Meshtastic Config Options
This guide provides a breakdown of common settings I have found to be useful for general use cases on the Meshtastic network with standard devices. For a full breakdown of all options supported in Meshtastic nodes, refer to the official documentation for Meshtastic.

I haven’t added an example of how you implement migrations with Kitten’s¹ built-in JSDB database² yet but here’s one that I just used when renaming a field (property) in a table (JavaScript object) from “account” to “data” that illustrates the general granular approach you should take within persisted instances of JavaScript classes.
This is, of course, an advanced use case of the built-in JavaScript database that all Kitten apps have.
Kitten is simple for simple use cases. So ch…

Architecture Considerations for ISAC in 6G
Sebastian Robitzsch, Laksh Bhatia, Konstantinos G. Filis, Neda Petreska, Michael Bahr, Pablo Picazo Martinez, Xi Li
https://arxiv.org/abs/2508.13736

Architecture Considerations for ISAC in 6G
ISAC is emerging as a foundational capability in 6G, enabling mobile networks to not only offer communication services but also to sense and perceive their environment at scale. This paper explores architectural considerations to enable sensing in 6G, extending on recent developments by (pre-)standardisation bodies such as 3GPP and ETSI. Selected ISAC use cases are presented from the European MultiX project including associated potential functional system requirements. The paper proposes a 6G s…

Ein sehr guter Ansatz, wie die Bevölkerung auf "gut gemeint" verschleierte Komplexität reagiert.
https://troet.cafe/@datawuppi/115391352534642088

This AI complaint is brought to you today by this ridiculous poster at Manhattan’s Guitar Center
“Make your dream tone a reality”, my ass.
Ever notice how 90% of AI marketing copy is literally just vague platitudes because they can’t actually think of any legitimate benefits or use cases?
“Be anything you imagine” = “we can’t imagine anything good enough to say here so you do the thinking for us”

Use Cases for Voice Anonymization
Sarina Meyer, Ngoc Thang Vu
https://arxiv.org/abs/2508.06356 https://arxiv.org/pdf/2508.06356

Use Cases for Voice Anonymization
The performance of a voice anonymization system is typically measured according to its ability to hide the speaker's identity and keep the data's utility for downstream tasks. This means that the requirements the anonymization should fulfill depend on the context in which it is used and may differ greatly between use cases. However, these use cases are rarely specified in research papers. In this paper, we study the implications of use case-specific requirements on the design of voice anonymiza…

How to tell a vibe coder of lying when they say they check their code.
People who will admit to using LLMs to write code will usually claim that they "carefully check" the output since we all know that LLM code has a lot of errors in it. This is insufficient to address several problems that LLMs cause, including labor issues, digital commons stress/pollution, license violation, and environmental issues, but at least it's they are checking their code carefully we shouldn't assume that it's any worse quality-wise than human-authored code, right?
Well, from principles alone we can expect it to be worse, since checking code the AI wrote is a much more boring task than writing code yourself, so anyone who has ever studied human-computer interaction even a little bit can predict people will quickly slack off, stating to trust the AI way too much, because it's less work. I'm a different domain, the journalist who published an entire "summer reading list" full of nonexistent titles is a great example of this. I'm sure he also intended to carefully check the AI output, but then got lazy. Clearly he did not have a good grasp of the likely failure modes of the tool he was using.
But for vibe coders, there's one easy tell we can look for, at least in some cases: coding in Python without type hints. To be clear, this doesn't apply to novice coders, who might not be aware that type hints are an option. But any serious Python software engineer, whether they used type hints before or not, would know that they're an option. And if you know they're an option, you also know they're an excellent tool for catching code defects, with a very low effort:reward ratio, especially if we assume an LLM generates them. Of the cases where adding types requires any thought at all, 95% of them offer chances to improve your code design and make it more robust. Knowing about but not using type hints in Python is a great sign that you don't care very much about code quality. That's totally fine in many cases: I've got a few demos or jam games in Python with no type hints, and it's okay that they're buggy. I was never going to debug them to a polished level anyways. But if we're talking about a vibe coder who claims that they're taking extra care to check for the (frequent) LLM-induced errors, that's not the situation.
Note that this shouldn't be read as an endorsement of vibe coding for demos or other rough-is-acceptable code: the other ethical issues I skipped past at the start still make it unethical to use in all but a few cases (for example, I have my students use it for a single assignment so they can see for themselves how it's not all it's cracked up to be, and even then they have an option to observe a pre-recorded prompt session instead).

In #OOP, objects collaborate. The initial idea of collaboration, first found in Smalltalk, was for object A to send a message to object B. Languages designed later use method calling. In both cases, the same question stands: how does an object reference other objects to reach the desired results?
In this post, I tackle the problem of passing

Brutal similes
Using #AI is an ethical choice.
I know that there cases when an #LLM could make my job easier. Which doesn't mean I'll use one. Just like I won't be buying cheap junk gadgets that could help me with some random stuff a bunch of times before they'll end up on a trash pile.
Yes, sometimes I am curious what an LLM could come up with. But then, there are people who are curious how many donuts they can eat before throwing up. A waste of good donuts.
What world would you rather live in? One where you put a little more effort in your job? Or one where LLM helps with with your job, but you can't enjoy your free time anymore because the capitalists are using LLMs to turn every single aspect of your life into a nightmare, and eventually your employer just makes you do more and more until you're thrown out? But at least you will get a monthly trial of a statistical "friend" to "talk" about your trouble to.
Yeah, you can claim that training models does the most harm, and that's already happened, so not using them doesn't change much, and all the energy spent on it would be wasted. Or use the traditional "others" fallacy — others will use it anyway, others will fuel the vicious circle, so why renounce convenience. It's like when you learn that your dinner is human meat, and you decide to eat it anyway, because not eating it won't bring that human back to life, and if it's wasted, then their death will be for naught.
#AntiCapitalism

AGI is “not a super useful term”? But IIRC, as defined by OpenAI, they’ll hit AGI when they generate $100 billion in profit. So, how’s that coming along? Not so great, huh?
https://www.cnbc.com/2025/08/11/sam-altman-says-agi-is-a-pointless-term-expe…

Develop-Fair Use for Artificial Intelligence: A Sino-U.S. Copyright Law Comparison Based on the Ultraman, Bartz v. Anthropic, and Kadrey v. Meta Cases
Chanhou Lou
https://arxiv.org/abs/2509.07365

Develop-Fair Use for Artificial Intelligence: A Sino-U.S. Copyright Law Comparison Based on the Ultraman, Bartz v. Anthropic, and Kadrey v. Meta Cases
Traditional fair use can no longer respond to the challenges posed by generative AI. Drawing on a comparative analysis of China's Ultraman and the U.S. cases Bartz v. Anthropic and Kadrey v. Meta, this article proposes "Develop-Fair Use" (DFU). DFU treats AI fair use (AIFU) not as a fixed exception but as a dynamic tool of judicial balancing that shifts analysis from closed scenarios to an evaluative rule for open-ended contexts. The judicial focus moves from formal classification of facts to a…

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/

Critical p-biharmonic problems and applications to Hamiltonian systems
Kanishka Perera, Bruno Ribeiro
https://arxiv.org/abs/2509.13596 https://arxiv.org/pd…

Critical p-biharmonic problems and applications to Hamiltonian systems
We study fourth-order quasilinear elliptic problems that involve the p-biharmonic operator and Navier boundary conditions. The nonlinear term grows at the critical Sobolev rate. Starting from a Hamiltonian system of two second-order equations, we use an inversion step to reduce it to a single p-biharmonic equation with a lower-order perturbation. We handle both non-resonant and resonant cases and show that the problem admits non-trivial solutions when the forcing term and the superscaled pertur…

A Broadcast Channel Framework for MIMO-OFDM Integrated Sensing and Communication
Homa Nikbakht, Husheng Li, Zhu Han, H. Vincent Poor
https://arxiv.org/abs/2509.10878 https://

A Broadcast Channel Framework for MIMO-OFDM Integrated Sensing and Communication
Integrated sensing and communication (ISAC) is expected to be one of the major features of 6G wireless networks. In an ISAC system, communications and sensing functionalities are jointly performed using the same waveform, frequency band and hardware, thereby enabling various use cases such as in cyber physical systems, digital twin and smart cities. A major challenge to the design and analysis of ISAC is a unified framework that incorporates the two distinct functions. By viewing ISAC as a type…

Not much to say about GPT-5 yet for my use cases but OMG FINALLY NO FUCKING EMOJIS EVERYWHERE.

LiteVPNet: A Lightweight Network for Video Encoding Control in Quality-Critical Applications
Vibhoothi Vibhoothi, Fran\c{c}ois Piti\'e, Anil Kokaram
https://arxiv.org/abs/2510.12379

LiteVPNet: A Lightweight Network for Video Encoding Control in Quality-Critical Applications
In the last decade, video workflows in the cinema production ecosystem have presented new use cases for video streaming technology. These new workflows, e.g. in On-set Virtual Production, present the challenge of requiring precise quality control and energy efficiency. Existing approaches to transcoding often fall short of these requirements, either due to a lack of quality control or computational overhead. To fill this gap, we present a lightweight neural network (LiteVPNet) for accurately pr…

#PSA: BEFORE selecting a domain name which you want to use for email, you definitely should consult the #SpamAssassin list of "suspicious" gTLDs. Those are gTLDs which have been so badly run that the overwhelming majority (99% in most cases) of messages using them for email addresses or even in …

I read 'The Public Interest Corpus Update – NYC Edition'. More work on the project's principles and goals, research and library service use cases, and thinking ahead to prospective year 1-3 and year 4-6 activities https://publicinterestcorpus.org/the-p

This was always how it was going to end, just a financial settlement and AI companies can continue.
https://www.nytimes.com/2025/09/05/technology/anth…

Anthropic Agrees to Pay $1.5 Billion to Settle Lawsuit With Book Authors
The settlement is the largest payout in the history of U.S. copyright cases and could lead more A.I. companies to pay rights holders for use of their works.

Stability AI launches Stable Audio 2.5, which the company claims is the first audio generation model designed for "enterprise-grade use cases" (Sean Michael Kerner/Venturebeat)
https://venturebeat.com/ai/stability-ais-enterprise-au…

Compact Binary Coalescence Sensitivity Estimates with Injection Campaigns during the LIGO-Virgo-KAGRA Collaborations' Fourth Observing Run
Reed Essick, Michael W. Coughlin, Michael Zevin, Deep Chatterjee, Teagan A. Clarke, Utkarsh Mali, Simona Miller, Nathan Steinle, Pratyusava Baral, Amanda C. Baylor, Gareth Cabourn Davies, Thomas Dent, Prathamesh Joshi, Praveen Kumar, Cody Messick, Tanmaya Mishra, Amazigh Ouzriat, Khun Sang Phukon, Lorenzo Piccari, Marion Pillas, Max Trevor, Thom…

Compact Binary Coalescence Sensitivity Estimates with Injection Campaigns during the LIGO-Virgo-KAGRA Collaborations' Fourth Observing Run
We describe the effort to characterize gravitational-wave searches and detector sensitivity to different types of compact binary coalescences during the LIGO-Virgo-KAGRA Collaborations' fourth observing run. We discuss the design requirements and example use cases for this data product, constructed from $> 4.33\times10^8$ injections during O4a alone. We also identify subtle effects with high confidence, like diurnal duty cycles within detectors. This paper accompanies a public data release of t…

Hedging with memory: shallow and deep learning with signatures
Eduardo Abi Jaber, Louis-Amand G\'erard
https://arxiv.org/abs/2508.02759 https://arxiv.o…

Hedging with memory: shallow and deep learning with signatures
We investigate the use of path signatures in a machine learning context for hedging exotic derivatives under non-Markovian stochastic volatility models. In a deep learning setting, we use signatures as features in feedforward neural networks and show that they outperform LSTMs in most cases, with orders of magnitude less training compute. In a shallow learning setting, we compare two regression approaches: the first directly learns the hedging strategy from the expected signature of the price p…

Nagare Media Ingest: A System for Multimedia Ingest Workflows
Matthias Neugebauer
https://arxiv.org/abs/2509.11972 https://arxiv.org/pdf/2509.11972

Nagare Media Ingest: A System for Multimedia Ingest Workflows
Ingesting multimedia data is usually the first step of multimedia workflows. For this purpose, various streaming protocols have been proposed for live and file-based content. For instance, SRT, RIST, DASH-IF Live Media Ingest Protocol and MOQT have been introduced in recent years. At the same time, the number of use cases has only proliferated by the move to cloud- and edge-computing environments. Multimedia systems now have to handle this complexity in order to stay relevant for today's workfl…

Asymptotically rigid mapping class groups III: Presentations and isomorphisms
Anthony Genevois, Anne Lonjou, Christian Urech
https://arxiv.org/abs/2510.11336 https://

Asymptotically rigid mapping class groups III: Presentations and isomorphisms
This article is dedicated to the computation of an explicit presentation of some asymptotically rigid mapping class groups, namely the braided Higman-Thompson groups. To do so, we use the action of these groups on the spine complex, a simply connected cube complex constructed by the authors in a previous work. In particular, this allows to compute the abelianisations of these groups. With these new algebraic invariants we can handle many new cases of the isomorphism problem for asymptotically r…

Tropical fans supporting a reduced 0-dimensional complete intersection
Linxuan Li
https://arxiv.org/abs/2508.06694 https://arxiv.org/pdf/2508.06694

Tropical fans supporting a reduced 0-dimensional complete intersection
An affine tropical fan is called regular if it supports a reduced 0-dimensional complete intersection. For some cases the classification of regular fans is already complete. It was proved by Fink that tropical varieties of degree 1 are exactly Bergman fans, and later Esterov and Gusev classified all lattice polytopes whose mixed volume equals 1. We introduce the notion of a gallery for tropical fans and use it to classify all one-dimensional regular fans, thereby obtaining a minimal model progr…

A High-Efficiency SoC for Next-Generation Mobile DNA Sequencing
Abel Beyene, Zhongpan Wu, Yunus Dawji, Karim Hammad, Ebrahim Ghafar-Zadeh, Sebastian Magierowski
https://arxiv.org/abs/2510.08940

A High-Efficiency SoC for Next-Generation Mobile DNA Sequencing
Hand-sized Deoxyribonucleic acid (DNA) sequencing machines are of growing importance in several life sciences fields as their small footprints enable a broader range of use cases than their larger, stationary counterparts. However, as currently designed, they lack sufficient embedded computing to process the large volume of measurements generated by their internal sensory system. As a consequence, they rely on external devices for additional processing capability. This dependence on external pr…

Seems like AI is a bit like the discovery of radioactive materials. At first that was used for all sorts of magical applications without understanding the implications. The future seemed to be bright and radiating with radioactive use cases in every household appliance.
Then slowly reality crept in and revealed the dangers. Now it's a highly regulated and contained domain.
Now think about AI and how it's advertised and what casualties we already witness.

The RPI Zero-based OpenPrinter looks very promising (600dpi color inkjet):
https://www.crowdsupply.com/open-tools/open-printer
Also instant throwback to BERG's cute Little Printer (from 2012, much smaller and very different use cases):

Open Printer
Finally, an open hardware printer you can actually understand, repair, and upgrade

Literally one of the best use cases for the Switch 2 mouse. https://www.nintendolife.com/news/2025/07/nintendo-expands-switch-onlines-snes-library-with-a-mouse-game

The Fused Kernel Library: A C API to Develop Highly-Efficient GPU Libraries
Oscar Amoros (Universitat Politecnica de Catalunya), Albert Andaluz (Independent researcher), Johnny Nunez (NVIDIA), Antonio J. Pena (Barcelona Supercomputing Center)
https://arxiv.org/abs/2508.07071

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries
Existing GPU libraries often struggle to fully exploit the parallel resources and on-chip memory (SRAM) of GPUs when chaining multiple GPU functions as individual kernels. While Kernel Fusion (KF) techniques like Horizontal Fusion (HF) and Vertical Fusion (VF) can mitigate this, current library implementations often require library developers to manually create fused kernels. Hence, library users rely on limited sets of pre-compiled or template-based fused kernels. This limits the use cases tha…

Neurochips: The state of brain-computer interfaces in 2025 https://andersenlab.com/blueprint/bci-challenges-and-opportunities "The coming two or three years will be pivotal: early trial results will either validate the hopes or temper the hype". A looming Ga…

BCIs in 2025: Trials, Progress, and Challenges
What brain-computer interfaces can and can’t do in 2025, based on recent clinical trials, company updates, and use cases.

CORSIKA 8: A modern and universal framework for particle cascade simulations
Marvin Gottowik (for the CORSIKA 8 collaboration)
https://arxiv.org/abs/2508.08755 https://

CORSIKA 8: A modern and universal framework for particle cascade simulations
CORSIKA 8 represents a significant update in the simulation of particle showers, building on the well-established foundation of CORSIKA 7. It has been entirely rewritten as a modular and modern C++ framework, addressing the limitations of its predecessor to provide a flexible platform designed to satisfy current and novel use cases. This allows for application beyond pure air-shower scenarios such as cross-media particle cascades and an advanced calculation of the radio emission. A first offici…

Novel cases of diffraction of light from a grating: Theory and experiment
Ninad R. Jetty, Akash Suman, Rajesh B. Khaparde
https://arxiv.org/abs/2508.15970 https://

Novel cases of diffraction of light from a grating: Theory and experiment
A popular pedagogical approach for introducing diffraction is to assume normal incidence of light on a single slit or a plane transmission grating. Interesting cases of diffraction from a grating at orientations other than normal incidence remain largely unexplored. In this article, we report our study of these unexplored cases, which was taken up as an undergraduate student project. We define various cases of orientation of the grating and use the Fresnel-Kirchhoff formula to arrive at the dif…

Protocol-Aware Firmware Rehosting for Effective Fuzzing of Embedded Network Stacks
Moritz Bley, Tobias Scharnowski, Simon W\"orner, Moritz Schloegel, Thorsten Holz
https://arxiv.org/abs/2509.13740

Protocol-Aware Firmware Rehosting for Effective Fuzzing of Embedded Network Stacks
One of the biggest attack surfaces of embedded systems is their network interfaces, which enable communication with other devices. Unlike their general-purpose counterparts, embedded systems are designed for specialized use cases, resulting in unique and diverse communication stacks. Unfortunately, current approaches for evaluating the security of these embedded network stacks require manual effort or access to hardware, and they generally focus only on small parts of the embedded system. A pro…

Projective models for Hilbert squares of $K3$ surfaces
\'Angel David R\'ios Ortiz, Andr\'es Rojas, Jieao Song
https://arxiv.org/abs/2510.02065 https://

Projective models for Hilbert squares of $K3$ surfaces
For a very general polarized $K3$ surface $S\subset \mathbb{P}^g$ of genus $g\ge 5$, we study the linear system on the Hilbert square $S^{[2]}$ parametrizing quadrics in $\mathbb{P}^g$ that contain $S$. We prove its very ampleness for $g\geq 7$. In the cases of genus 7 or 8, we describe in detail the projective geometry of the corresponding embedding by making use of the Mukai model for $S$. In both cases, it can be realized as a degeneracy locus on an ambient homogeneous space, in a strikingly…

Should we teach vibe coding? Here's why not.
Should AI coding be taught in undergrad CS education?
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I teach undergraduate computer science labs, including for intro and more-advanced core courses. I don't publish (non-negligible) scholarly work in the area, but I've got years of craft expertise in course design, and I do follow the academic literature to some degree. In other words, In not the world's leading expert, but I have spent a lot of time thinking about course design, and consider myself competent at it, with plenty of direct experience in what knowledge & skills I can expect from students as they move through the curriculum.
I'm also strongly against most uses of what's called "AI" these days (specifically, generative deep neutral networks as supplied by our current cadre of techbro). There are a surprising number of completely orthogonal reasons to oppose the use of these systems, and a very limited number of reasonable exceptions (overcoming accessibility barriers is an example). On the grounds of environmental and digital-commons-pollution costs alone, using specifically the largest/newest models is unethical in most cases.
But as any good teacher should, I constantly question these evaluations, because I worry about the impact on my students should I eschew teaching relevant tech for bad reasons (and even for his reasons). I also want to make my reasoning clear to students, who should absolutely question me on this. That inspired me to ask a simple question: ignoring for one moment the ethical objections (which we shouldn't, of course; they're very stark), at what level in the CS major could I expect to teach a course about programming with AI assistance, and expect students to succeed at a more technically demanding final project than a course at the same level where students were banned from using AI? In other words, at what level would I expect students to actually benefit from AI coding "assistance?"
To be clear, I'm assuming that students aren't using AI in other aspects of coursework: the topic of using AI to "help you study" is a separate one (TL;DR it's gross value is not negative, but it's mostly not worth the harm to your metacognitive abilities, which AI-induced changes to the digital commons are making more important than ever).
So what's my answer to this question?
If I'm being incredibly optimistic, senior year. Slightly less optimistic, second year of a masters program. Realistic? Maybe never.
The interesting bit for you-the-reader is: why is this my answer? (Especially given that students would probably self-report significant gains at lower levels.) To start with, [this paper where experienced developers thought that AI assistance sped up their work on real tasks when in fact it slowed it down] (https://arxiv.org/abs/2507.09089) is informative. There are a lot of differences in task between experienced devs solving real bugs and students working on a class project, but it's important to understand that we shouldn't have a baseline expectation that AI coding "assistants" will speed things up in the best of circumstances, and we shouldn't trust self-reports of productivity (or the AI hype machine in general).
Now we might imagine that coding assistants will be better at helping with a student project than at helping with fixing bugs in open-source software, since it's a much easier task. For many programming assignments that have a fixed answer, we know that many AI assistants can just spit out a solution based on prompting them with the problem description (there's another elephant in the room here to do with learning outcomes regardless of project success, but we'll ignore this over too, my focus here is on project complexity reach, not learning outcomes). My question is about more open-ended projects, not assignments with an expected answer. Here's a second study (by one of my colleagues) about novices using AI assistance for programming tasks. It showcases how difficult it is to use AI tools well, and some of these stumbling blocks that novices in particular face.
But what about intermediate students? Might there be some level where the AI is helpful because the task is still relatively simple and the students are good enough to handle it? The problem with this is that as task complexity increases, so does the likelihood of the AI generating (or copying) code that uses more complex constructs which a student doesn't understand. Let's say I have second year students writing interactive websites with JavaScript. Without a lot of care that those students don't know how to deploy, the AI is likely to suggest code that depends on several different frameworks, from React to JQuery, without actually setting up or including those frameworks, and of course three students would be way out of their depth trying to do that. This is a general problem: each programming class carefully limits the specific code frameworks and constructs it expects students to know based on the material it covers. There is no feasible way to limit an AI assistant to a fixed set of constructs or frameworks, using current designs. There are alternate designs where this would be possible (like AI search through adaptation from a controlled library of snippets) but those would be entirely different tools.
So what happens on a sizeable class project where the AI has dropped in buggy code, especially if it uses code constructs the students don't understand? Best case, they understand that they don't understand and re-prompt, or ask for help from an instructor or TA quickly who helps them get rid of the stuff they don't understand and re-prompt or manually add stuff they do. Average case: they waste several hours and/or sweep the bugs partly under the rug, resulting in a project with significant defects. Students in their second and even third years of a CS major still have a lot to learn about debugging, and usually have significant gaps in their knowledge of even their most comfortable programming language. I do think regardless of AI we as teachers need to get better at teaching debugging skills, but the knowledge gaps are inevitable because there's just too much to know. In Python, for example, the LLM is going to spit out yields, async functions, try/finally, maybe even something like a while/else, or with recent training data, the walrus operator. I can't expect even a fraction of 3rd year students who have worked with Python since their first year to know about all these things, and based on how students approach projects where they have studied all the relevant constructs but have forgotten some, I'm not optimistic seeing these things will magically become learning opportunities. Student projects are better off working with a limited subset of full programming languages that the students have actually learned, and using AI coding assistants as currently designed makes this impossible. Beyond that, even when the "assistant" just introduces bugs using syntax the students understand, even through their 4th year many students struggle to understand the operation of moderately complex code they've written themselves, let alone written by someone else. Having access to an AI that will confidently offer incorrect explanations for bugs will make this worse.
To be sure a small minority of students will be able to overcome these problems, but that minority is the group that has a good grasp of the fundamentals and has broadened their knowledge through self-study, which earlier AI-reliant classes would make less likely to happen. In any case, I care about the average student, since we already have plenty of stuff about our institutions that makes life easier for a favored few while being worse for the average student (note that our construction of that favored few as the "good" students is a large part of this problem).
To summarize: because AI assistants introduce excess code complexity and difficult-to-debug bugs, they'll slow down rather than speed up project progress for the average student on moderately complex projects. On a fixed deadline, they'll result in worse projects, or necessitate less ambitious project scoping to ensure adequate completion, and I expect this remains broadly true through 4-6 years of study in most programs (don't take this as an endorsement of AI "assistants" for masters students; we've ignored a lot of other problems along the way).
There's a related problem: solving open-ended project assignments well ultimately depends on deeply understanding the problem, and AI "assistants" allow students to put a lot of code in their file without spending much time thinking about the problem or building an understanding of it. This is awful for learning outcomes, but also bad for project success. Getting students to see the value of thinking deeply about a problem is a thorny pedagogical puzzle at the best of times, and allowing the use of AI "assistants" makes the problem much much worse. This is another area I hope to see (or even drive) pedagogical improvement in, for what it's worth.
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The Provenance Problem: LLMs and the Breakdown of Citation Norms
Brian D. Earp, Haotian Yuan, Julian Koplin, Sebastian Porsdam Mann
https://arxiv.org/abs/2509.13365 https://

The Provenance Problem: LLMs and the Breakdown of Citation Norms
The increasing use of generative AI in scientific writing raises urgent questions about attribution and intellectual credit. When a researcher employs ChatGPT to draft a manuscript, the resulting text may echo ideas from sources the author has never encountered. If an AI system reproduces insights from, for example, an obscure 1975 paper without citation, does this constitute plagiarism? We argue that such cases exemplify the 'provenance problem': a systematic breakdown in the chain of scholarl…

Quick test board for STM32H750 UFBGA240 25 paired with the Trion T20 BGA256 FPGA devkit.
Goals:
* Validate my KiCAD symbol for STM32H750 in TFBGA240 25
* Bring up a basic BSP and stm32-cpp support for the STM32H750 (should be straightforward with most stuff very similar to the H735)
* Play with the H7 QUADSPI and see how it works for both XIP and copy-code-to-SRAM use cases
* Add QUADSPI flash driver for microkvs (which currently only supports internal flash)
*…

This resonates 50% with me. But the other 50%, I am like you and your manager have to become more the architects and less the lines-of-code-checker. Also thinking about tests and edge cases is even more important now. https://exquisite.social/@thomholwerda/114959217780568638…

Comparative Studies of Quantum Annealing, Digital Annealing, and Classical Solvers for Reaction Network Pathway Analysis and mRNA Codon Selection
Milind Upadhyay, Mark Nicholas Jones
https://arxiv.org/abs/2509.09862

Comparative Studies of Quantum Annealing, Digital Annealing, and Classical Solvers for Reaction Network Pathway Analysis and mRNA Codon Selection
For various optimization problems, the classical time to solution is super-polynomial and intractable to solve with classical bit-based computing hardware to date. Digital and quantum annealers have the potential to identify near-optimal solutions for such optimization problems using a quadratic unconstrained binary optimization (QUBO) problem formulation. This work benchmarks two use cases to evaluate the utility of QUBO solvers for combinatorial optimization problems, in order to determine if…

OpenJAI-v1.0: An Open Thai Large Language Model
Pontakorn Trakuekul, Attapol T. Rutherford, Jullajak Karnjanaekarin, Narongkorn Panitsrisit, Sumana Sumanakul
https://arxiv.org/abs/2510.06847

OpenJAI-v1.0: An Open Thai Large Language Model
We introduce OpenJAI-v1.0, an open-source large language model for Thai and English, developed from the Qwen3-14B model. Our work focuses on boosting performance on practical tasks through carefully curated data across three key use cases: instruction following, long-context understanding, and tool use. Evaluation results show that OpenJAI-v1.0 improves on the capabilities of its base model and outperforms other leading open-source Thai models on a diverse suite of benchmarks, while avoiding ca…

Enabling Drone Detection with SWARM Repeater-Assisted MIMO ISAC
Palatip Jopanya, Diana P. M. Osorio
https://arxiv.org/abs/2509.19119 https://arxiv.org/pdf/…

Maximizing GPU Efficiency via Optimal Adapter Caching: An Analytical Approach for Multi-Tenant LLM Serving
Ferran Agullo, Joan Oliveras, Chen Wang, Alberto Gutierrez-Torre, Olivier Tardieu, Alaa Youssef, Jordi Torres, Josep Ll. Berral
https://arxiv.org/abs/2508.08343

Maximizing GPU Efficiency via Optimal Adapter Caching: An Analytical Approach for Multi-Tenant LLM Serving
Serving LLM adapters has gained significant attention as an effective approach to adapt general-purpose language models to diverse, task-specific use cases. However, serving a wide range of adapters introduces several and substantial overheads, leading to performance degradation and challenges in optimal placement. To address these challenges, we present an analytical, AI-driven pipeline that accurately determines the optimal allocation of adapters in single-node setups. This allocation maximiz…

An explicit formula of the Oslo stationary state
Valentin Lallemant, Vincent Rossetto
https://arxiv.org/abs/2508.06315 https://arxiv.org/pdf/2508.06315

An explicit formula of the Oslo stationary state
In most sandpile models under driven-dissipative condition, a critical stationary state is known to emerge. This state displays organization features encoded in the dynamical (e.g. avalanche spectrum) and static (e.g. hyperuniformity) observables. However, the access to the explicit stationary state expression happens only in few cases, and for most sandpile models the question is still open. In this article, we derive such an expression for the Oslo model. To do so, we use different representa…

Local-global compatibility and the exceptional zero conjecture for GL(3)
Daniel Barrera Salazar, Andrew Graham, Chris Williams
https://arxiv.org/abs/2508.10225 https://

Local-global compatibility and the exceptional zero conjecture for GL(3)
We prove the exceptional zero conjecture of Greenberg--Benois for $p$-ordinary regular algebraic cuspidal automorphic representations of $\mathrm{GL}_3(\mathbb{A})$ which are Steinberg at $p$. In particular, we obtain the first cases of this conjecture for non-essentially-self-dual RACARs of $\mathrm{GL}_n(\mathbb{A})$. Our proof has two main parts. In Part 1, we use $p$-arithmetic cohomology to prove an exceptional zero formula using Gehrmann's automorphic $\mathcal{L}$-invariant. In Part 2 …

Confidence Regions for Multiple Outcomes, Effect Modifiers, and Other Multiple Comparisons
Paul N Zivich, Stephen R Cole, Noah Greifer, Lina M Montoya, Michael R Kosorok, Jessie K Edwards
https://arxiv.org/abs/2510.07076

Confidence Regions for Multiple Outcomes, Effect Modifiers, and Other Multiple Comparisons
In epidemiology, some have argued that multiple comparison corrections are not necessary as there is rarely interest in the universal null hypothesis. From a parameter estimation perspective, epidemiologists may still be interested in multiple parameters. In this context, standard confidence intervals are not guaranteed to provide simultaneous coverage of more than one parameter. In other words, use of confidence intervals in these cases will understate the uncertainty due to random error. To a…

On detection probabilities of link invariants
Abel Lacabanne, Daniel Tubbenhauer, Pedro Vaz, Victor L. Zhang
https://arxiv.org/abs/2509.05574 https://arxiv…

On detection probabilities of link invariants
We prove that the detection rate of n-crossing alternating links by link invariants insensitive to oriented mutation decays exponentially in n, implying that they detect alternating links with probability zero. This phenomenon applies broadly, in particular to quantum invariants such as the Jones or HOMFLYPT polynomials. We also use a big data approach to analyze several borderline cases (e.g. integral Khovanov or HOMFLYPT homologies), where our arguments almost, but not quite, apply, and we pr…

Why Do Decision Makers (Not) Use AI? A Cross-Domain Analysis of Factors Impacting AI Adoption
Rebecca Yu, Valerie Chen, Ameet Talwalkar, Hoda Heidari
https://arxiv.org/abs/2508.00723

Why Do Decision Makers (Not) Use AI? A Cross-Domain Analysis of Factors Impacting AI Adoption
Growing excitement around deploying AI across various domains calls for a careful assessment of how human decision-makers interact with AI-powered systems. In particular, it is essential to understand when decision-makers voluntarily choose to consult AI tools, which we term decision-maker adoption. We interviewed experts across four domains -- medicine, law, journalism, and the public sector -- to explore current AI use cases and perceptions of adoption. From these interviews, we identify key …

#PostgreSQL for everything
https://postgresforeverything.com/

Data Cleaning of Data Streams
Valerie Restat, Niklas Rodenhausen, Carina Antonin, Uta St\"orl
https://arxiv.org/abs/2507.20839 https://arxiv.org/pdf/2…

Data Cleaning of Data Streams
Streaming data can arise from a variety of contexts. Important use cases are continuous sensor measurements such as temperature, light or radiation values. In the process, streaming data may also contain data errors that should be cleaned before further use. Many studies from science and practice focus on data cleaning in a static context. However, in terms of data cleaning, streaming data has particularities that distinguish it from static data. In this paper, we have therefore undertaken an i…

Analysis of LTE/5G Network Performance Parameters in Smartphone Use Cases: A Study of Packet Loss, Delay, and Slice Types
Almamoon Alauthman, Abeer Al-Hyari
https://arxiv.org/abs/2510.04035

Analysis of LTE/5G Network Performance Parameters in Smartphone Use Cases: A Study of Packet Loss, Delay, and Slice Types
The paper addresses optimizing two of the most important performance parameters, packet loss, and delay, in the critical path optimization of LTE and 5G networks using metaheuristic algorithms to play a vital role in the smartphone user experience. In this context, nine metaheuristic algorithms, such as WOA, PSO, and ABC, have been studied for their effectiveness in various slices of networks: eMBB, URLLC, and mMTC. It can be seen from the results that WOA performed the best: it reduced packet …

New on #Quansight PBC blog: Python Wheels: from Tags to Variants
#Python distributions are uniform across different Python versions and platforms. For these distributions, it is sufficient to publish a single wheel that can be installed everywhere. However, some packages are more complex than that; they include compiled Python extensions or binaries. In order to robustly deploy these software on different platforms, you need to publish multiple binary packages, and the installers need to select the one that fits the platform used best.
For a long time, Python wheels made do with a relatively simple mechanism to describe the needed variance: Platform compatibility tags. These tags identified different Python implementations and versions, operating systems, and CPU architectures. Over time, they were extended to facilitate new use cases. To list a couple: PEP 513 added manylinux tags to standardize the core library dependencies on GNU/Linux systems, and PEP 656 added musllinux tags to facilitate Linux systems with musl libc.
However, not all new use cases can be handled effectively within the framework of tags. To list a few:
• The advent of GPU-backed computing made distinguishing different acceleration frameworks such as NVIDIA CUDA or AMD ROCm important.
• As the compatibility with older CPUs became less desirable, many distributions have set baselines for their binary packages to x86-64-v2 microarchitecture level, and Python packages need to be able to express the same requirement.
• Numerical libraries support different BLAS/LAPACK, MPI, OpenMP providers, and wish to enable the users to choose the build matching their desired provider.
While tags could technically be bent to facilitate all these use cases, they would grow quite baroque, and, critically, every change to tags needs to be implemented in all installers and package-related tooling separately, making the adoption difficult.
Facing these limitations, software vendors have employed different solutions to work around the lack of an appropriate mechanism. Eventually, the #WheelNext initiative took up the challenge to design a more robust solution.
"""
#packaging

Maximally Useful and Minimally Redundant: The Key to Self Supervised Learning for Imbalanced Data
Yash Kumar Sharma, Vineet Nair, Wilson Naik
https://arxiv.org/abs/2509.08469 ht…

Maximally Useful and Minimally Redundant: The Key to Self Supervised Learning for Imbalanced Data
The robustness of contrastive self-supervised learning (CSSL) for imbalanced datasets is largely unexplored. CSSL usually makes use of \emph{multi-view} assumptions to learn discriminatory features via similar and dissimilar data samples. CSSL works well on balanced datasets, but does not generalize well for imbalanced datasets. In a very recent paper, as part of future work, Yann LeCun pointed out that the self-supervised multiview framework can be extended to cases involving \emph{more than t…

DarTwin made precise by SysMLv2 -- An Experiment
{\O}ystein Haugen, Stefan Klikovits, Martin Arthur Andersen, Jonathan Beaulieu, Francis Bordeleau, Joachim Denil, Joost Mertens
https://arxiv.org/abs/2510.12478

DarTwin made precise by SysMLv2 -- An Experiment
The new SysMLv2 adds mechanisms for the built-in specification of domain-specific concepts and language extensions. This feature promises to facilitate the creation of Domain-Specific Languages (DSLs) and interfacing with existing system descriptions and technical designs. In this paper, we review these features and evaluate SysMLv2's capabilities using concrete use cases. We develop DarTwin DSL, a DSL that formalizes the existing DarTwin notation for Digital Twin (DT) evolution, through SysMLv…

Prediction: #BCI companies currently focusing on developing an implantable visual prosthesis will soon shift their focus toward more general #neuromodulation use cases to reach economy of scale and recoup investments. #NeuroTech

BCI companies currently focusing on developing an implantable visual prosthesis will soon shift their focus toward more general neuromodulation use cases to reach economy of scale and recoup investments.
The claim that BCI (brain-computer interface) companies specializing in implantable visual prostheses are poised to pivot toward broader neuromodulation applications—for conditions like depression, chronic pain, Parkinson's, or cognitive enhancement—aligns with emerging industry trends. This shift would indeed help achieve economies of scale by targeting larger patient populations and accelerating investment recovery, as visual restoration remains a niche market (affecting an estimated 2.2 …

Fine-Tuning Vision-Language Models for Markdown Conversion of Financial Tables in Malaysian Audited Financial Reports
Jin Khye Tan (Faculty of Computer Science,Information Technology, Universiti Malaya), En Jun Choong, Ethan Jeremiah Chitty, Yan Pheng Choo, John Hsin Yang Wong, Chern Eu Cheah
https://arxiv.org/abs/2508.05669

Fine-Tuning Vision-Language Models for Markdown Conversion of Financial Tables in Malaysian Audited Financial Reports
Accurately extracting and representing the structure of tabular data from financial documents remains a critical challenge in document understanding, particularly for regulatory and analytical use cases. This study addresses the complexity of converting financial tables from Malaysian audited financial reports into Markdown format, a task complicated by rotated layouts, multi-level headers, and implicit structural cues. We propose a fine-tuned vision-language model (VLM), based on Qwen2.5-VL-7B…

OpenAI launches its first extended ad campaign for ChatGPT featuring three 30-second cinematic ads with a focus on everyday AI use cases in the US and the UK (Tim Nudd/Ad Age)
https://adage.com/creativity/creative-strategy-tactics/aa-chatgpt-firs…

Inside ChatGPT’s first major brand campaign—OpenAI marketing leaders discuss the work
Cinematic spots, made with agency Isle of Any, show everyday uses of the AI assistant helping people “learn, create and grow.”

I became a US citizen yesterday!
4 years in the making, a dream for much longer than that. I was fortunate to have one of the fastest routes to citizenship and to have mostly experienced a very smooth process with lovely immigration agents who processed my cases with respect and dignity.
I spent the last 9 months living in fear, watching immigrants get demonized and even permanent residency (green cards) to be treated as “a privilege” to be revoked at whim.
I've been quiet, afraid to say anything in public that could be misinterpreted or used against me.
I've repeatedly said goodbye to my city, I've cried walking my favorite streets, bracing for the worst as top officials bragged about getting rid of immigrants and "cleaning up" the country as if we were filth.
Now, I intend to find ways to use my citizenship for the greater good and to be civically engaged in ways not available to people here on visas and green cards, affected but forced to suffer in silence. I am looking forward to discovering what that will look like for me.
#USA #citizenship #immigration #immigrants
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Probing evolution of Long GRB properties through their cosmic formation history aided by Machine Learning predicted redshifts
Dhruv S. Bal, Aditya Narendra, Maria Giovanna Dainotti, Nikita S. Khatiya, Aleksander L. Lenart, Dieter H. Hartmann
https://arxiv.org/abs/2510.07306

Probing evolution of Long GRB properties through their cosmic formation history aided by Machine Learning predicted redshifts
Gamma-ray Bursts (GRBs) are valuable probes of cosmic star formation reaching back into the epoch of reionization, and a large dataset with known redshifts ($z$) is an important ingredient for these studies. Usually, $z$ is measured using spectroscopy or photometry, but $\sim80\%$ of GRBs lack such data. Prompt and afterglow correlations can provide estimates in these cases, though they suffer from systematic uncertainties due to assumed cosmologies and due to detector threshold limits. We use …

Comparative Study of Subjective Video Quality Assessment Test Methods in Crowdsourcing for Varied Use Cases
Babak Naderi, Ross Cutler
https://arxiv.org/abs/2509.20118 https://…

Comparative Study of Subjective Video Quality Assessment Test Methods in Crowdsourcing for Varied Use Cases
In crowdsourced subjective video quality assessment, practitioners often face a choice between Absolute Category Rating (ACR), ACR with Hidden Reference (ACR-HR), and Comparison Category Rating (CCR). We conducted a P.910-compliant, side-by-side comparison across six studies using 15 talking-head sources of good and fair quality, processed with realistic degradations (blur, scaling, compression, freezing, and their combinations), as well as a practical bitrate-ladder task at 720p and 1080p reso…

Automated Program Repair of Uncompilable Student Code
Griffin Pitts, Aum Pandya, Darsh Rank, Tirth Bhatt, Muntasir Hoq, Bita Akram
https://arxiv.org/abs/2510.06187 https://

Automated Program Repair of Uncompilable Student Code
A significant portion of student programming submissions in CS1 learning environments are uncompilable, limiting their use in student modeling and downstream knowledge tracing. Traditional modeling pipelines often exclude these cases, discarding observations of student learning. This study investigates automated program repair as a strategy to recover uncompilable code while preserving students' structural intent for use in student modeling. Within this framework, we assess large language model…

From Hard Refusals to Safe-Completions: Toward Output-Centric Safety Training
Yuan Yuan, Tina Sriskandarajah, Anna-Luisa Brakman, Alec Helyar, Alex Beutel, Andrea Vallone, Saachi Jain
https://arxiv.org/abs/2508.09224

From Hard Refusals to Safe-Completions: Toward Output-Centric Safety Training
Large Language Models used in ChatGPT have traditionally been trained to learn a refusal boundary: depending on the user's intent, the model is taught to either fully comply or outright refuse. While this is a strong mitigation for explicitly malicious prompts, focusing safety training on refusals can lead to brittleness for prompts with obscured user intent. Binary refusal boundaries are especially ill-suited for dual-use cases (such as biology or cybersecurity), where a user request can be an…

An Algorithm for Computing Hopf--Galois Structures and Skew Bracoids of Low Degree
Andrew Darlington
https://arxiv.org/abs/2508.03372 https://arxiv.org/pdf…

An Algorithm for Computing Hopf--Galois Structures and Skew Bracoids of Low Degree
Making use of the fact that Hopf-Galois structures on separable extensions and skew bracoids are both intrinsically connected to transitive subgroups of the holomorph, we present an algorithm to classify and enumerate these objects in several low degree cases. Our approach allows us to greatly extend existing computational results for Hopf-Galois structures, while building on the existing algorithms presented in this area.

On Digital Twins in Defence: Overview and Applications
Marco Giberna, Holger Voos, Paulo Tavares, Jo\~ao Nunes, Tobias Sorg, Andrea Masini, Jose Luis Sanchez-Lopez
https://arxiv.org/abs/2508.05717

On Digital Twins in Defence: Overview and Applications
Digital twin technology has gained increasing attention across various sectors due to its ability to create virtual replicas of physical systems, enabling real-time monitoring, optimization, and simulation. This paper explores the integration of digital twins within defence applications, focusing on key use cases ranging from system design and development, operational planning and training, to mission execution and debriefing. By examining the application of digital twin technologies across def…

TEGRA: A Flexible & Scalable NextGen Mobile Core
Bilal Saleem, Omar Basit, Jiayi Meng, Iftekhar Alam, Ajay Thakur, Christian Maciocco, Muhammad Shahbaz, Y. Charlie Hu, Larry Peterson
https://arxiv.org/abs/2509.07410

TEGRA: A Flexible & Scalable NextGen Mobile Core
To support emerging mobile use cases (e.g., AR/VR, autonomous driving, and massive IoT), next-generation mobile cores for 5G and 6G are being re-architected as service-based architectures (SBAs) running on both private and public clouds. However, current performance optimization strategies for scaling these cores still revert to traditional NFV-based techniques, such as consolidating functions into rigid, monolithic deployments on dedicated servers. This raises a critical question: Is there an …

Altered Histories in Version Control System Repositories: Evidence from the Trenches
Solal Rapaport (IP Paris, LTCI, ACES, INFRES), Laurent Pautet (INFRES, LTCI, ACES, IP Paris), Samuel Tardieu (INFRES, ACES, IP Paris, LTCI), Stefano Zacchiroli (IP Paris, LTCI, ACES, INFRES)
https://arxiv.org/abs/2509.09294…

Altered Histories in Version Control System Repositories: Evidence from the Trenches
Version Control Systems (VCS) like Git allow developers to locally rewrite recorded history, e.g., to reorder and suppress commits or specific data in them. These alterations have legitimate use cases, but become problematic when performed on public branches that have downstream users: they break push/pull workflows, challenge the integrity and reproducibility of repositories, and create opportunities for supply chain attackers to sneak into them nefarious changes. We conduct the first large-sc…

Augmented Question-guided Retrieval (AQgR) of Indian Case Law with LLM, RAG, and Structured Summaries
Vishnuprabha V, Daleesha M Viswanathan, Rajesh R, Aneesh V Pillai
https://arxiv.org/abs/2508.04710 …

Augmented Question-guided Retrieval (AQgR) of Indian Case Law with LLM, RAG, and Structured Summaries
Identifying relevant legal precedents remains challenging, as most retrieval methods emphasize factual similarity over legal issues, and current systems often lack explanations clarifying case relevance. This paper proposes the use of Large Language Models (LLMs) to address this gap by facilitating the retrieval of relevant cases, generating explanations to elucidate relevance, and identifying core legal issues all autonomously, without requiring legal expertise. Our approach combines Retrieval…

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance
Jingwei Zuo, Maksim Velikanov, Ilyas Chahed, Younes Belkada, Dhia Eddine Rhayem, Guillaume Kunsch, Hakim Hacid, Hamza Yous, Brahim Farhat, Ibrahim Khadraoui, Mugariya Farooq, Giulia Campesan, Ruxandra Cojocaru, Yasser Djilali, Shi Hu, Iheb Chaabane, Puneesh Khanna, Mohamed El Amine Seddik, Ngoc Dung Huynh, Phuc Le Khac, Leen AlQadi, Billel Mokeddem, Mohamed Chami, Abdalgader Abubaker, Mikhail Lubin…

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance
In this report, we introduce Falcon-H1, a new series of large language models (LLMs) featuring hybrid architecture designs optimized for both high performance and efficiency across diverse use cases. Unlike earlier Falcon models built solely on Transformer or Mamba architectures, Falcon-H1 adopts a parallel hybrid approach that combines Transformer-based attention with State Space Models (SSMs), known for superior long-context memory and computational efficiency. We systematically revisited mod…

Pattern-Based File and Data Access with Python Glob: A Comprehensive Guide for Computational Research
Sidney Shapiro
https://arxiv.org/abs/2509.08843 https://

Pattern-Based File and Data Access with Python Glob: A Comprehensive Guide for Computational Research
Pattern-based file access is a fundamental but often under-documented aspect of computational research. The Python glob module provides a simple yet powerful way to search, filter, and ingest files using wildcard patterns, enabling scalable workflows across disciplines. This paper introduces glob as a versatile tool for data science, business analytics, and artificial intelligence applications. We demonstrate use cases including large-scale data ingestion, organizational data analysis, AI datas…

Optimized Split Computing Framework for Edge and Core Devices
Andrea Tassi, Oluwatayo Yetunde Kolawole, Joan Pujol Roig, Daniel Warren
https://arxiv.org/abs/2509.06049 https://

Optimized Split Computing Framework for Edge and Core Devices
With mobile networks expected to support services with stringent requirements that ensure high-quality user experience, the ability to apply Feed-Forward Neural Network (FFNN) models to User Equipment (UE) use cases has become critical. Given that UEs have limited resources, running FFNNs directly on UEs is an intrinsically challenging problem. This letter proposes an optimization framework for split computing applications where an FFNN model is partitioned into multiple sections, and executed …

A Comprehensive Analysis of Evolving Permission Usage in Android Apps: Trends, Threats, and Ecosystem Insights
Ali Alkinoon, Trung Cuong Dang, Ahod Alghuried, Abdulaziz Alghamdi, Soohyeon Choi, Manar Mohaisen, An Wang, Saeed Salem, David Mohaisen
https://arxiv.org/abs/2508.02008

A Comprehensive Analysis of Evolving Permission Usage in Android Apps: Trends, Threats, and Ecosystem Insights
The proper use of Android app permissions is crucial to the success and security of these apps. Users must agree to permission requests when installing or running their apps. Despite official Android platform documentation on proper permission usage, there are still many cases of permission abuse. This study provides a comprehensive analysis of the Android permission landscape, highlighting trends and patterns in permission requests across various applications from the Google Play Store. By dis…

Sensors in viticulture: functions, benefits, and data-driven insights
Milan Milenkovic
https://arxiv.org/abs/2510.03000 https://arxiv.org/pdf/2510.03000

Sensors in viticulture: functions, benefits, and data-driven insights
Use of sensor and related analytical predictions can be a powerful tool in providing data-informed input to viticulturalists' decision process, complementing their vineyard observations and intuition. Their up-to-date measurements, predictions, and alerts offer actionable insights and suggestions for managing key vineyard operations, such as irrigation, disease and pest control, canopy management, and harvest timing. In many cases, anticipatory interventions can mitigate risks before problems b…

What's Coming Next? Short-Term Simulation of Business Processes from Current State
Maksym Avramenko, David Chapela-Campa, Marlon Dumas, Fredrik Milani
https://arxiv.org/abs/2509.07747

What's Coming Next? Short-Term Simulation of Business Processes from Current State
Business process simulation is an approach to evaluate business process changes prior to implementation. Existing methods in this field primarily support tactical decision-making, where simulations start from an empty state and aim to estimate the long-term effects of process changes. A complementary use-case is operational decision-making, where the goal is to forecast short-term performance based on ongoing cases and to analyze the impact of temporary disruptions, such as demand spikes and sh…

An Adaptive Responsible AI Governance Framework for Decentralized Organizations
Kiana Jafari Meimandi, Anka Reuel, Gabriela Aranguiz-Dias, Hatim Rahama, Ala-Eddine Ayadi, Xavier Boullier, J\'er\'emy Verdo, Louis Montanie, Mykel Kochenderfer
https://arxiv.org/abs/2510.03368

An Adaptive Responsible AI Governance Framework for Decentralized Organizations
This paper examines the assessment challenges of Responsible AI (RAI) governance efforts in globally decentralized organizations through a case study collaboration between a leading research university and a multinational enterprise. While there are many proposed frameworks for RAI, their application in complex organizational settings with distributed decision-making authority remains underexplored. Our RAI assessment, conducted across multiple business units and AI use cases, reveals four key …

On LLM-Assisted Generation of Smart Contracts from Business Processes
Fabian Stiehle, Hans Weytjens, Ingo Weber
https://arxiv.org/abs/2507.23087 https://ar…

On LLM-Assisted Generation of Smart Contracts from Business Processes
Large language models (LLMs) have changed the reality of how software is produced. Within the wider software engineering community, among many other purposes, they are explored for code generation use cases from different types of input. In this work, we present an exploratory study to investigate the use of LLMs for generating smart contract code from business process descriptions, an idea that has emerged in recent literature to overcome the limitations of traditional rule-based code generati…

Managing Differentiated Secure Connectivity using Intents
Loay Abdelrazek, Filippo Rebecchi
https://arxiv.org/abs/2509.25462 https://arxiv.org/pdf/2509.254…

Managing Differentiated Secure Connectivity using Intents
Mobile networks in the 5G and 6G era require to rethink how to manage security due to the introduction of new services, use cases, each with its own security requirements, while simultaneously expanding the threat landscape. Although automation has emerged as a key enabler to address complexity in networks, existing approaches lack the expressiveness to define and enforce complex, goal-driven, and measurable security requirements. In this paper, we propose the concept of differentiated security…