Technical Report: Facilitating the Adoption of Causal Inference Methods Through LLM-Empowered Co-Pilot
Jeroen Berrevoets, Julianna Piskorz, Robert Davis, Harry Amad, Jim Weatherall, Mihaela van der Schaar
https://arxiv.org/abs/2508.10581
Adoption of Explainable Natural Language Processing: Perspectives from Industry and Academia on Practices and Challenges
Mahdi Dhaini, Tobias M\"uller, Roksoliana Rabets, Gjergji Kasneci
https://arxiv.org/abs/2508.09786
Lowering Barriers to CAD Adoption: A Comparative Study of Augmented Reality-Based CAD (AR-CAD) and a Traditional CAD tool
Muhammad Talha, Abdullah Mohiuddin, Sehrish Javed, Ahmed Jawad Qureshi
https://arxiv.org/abs/2510.12146
My Unknown Truth – The Australian Adoption Podcast
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/my-unknown-truth-the-australian-adoption-podcast/
Virtual Agent Economies
Nenad Tomasev, Matija Franklin, Joel Z. Leibo, Julian Jacobs, William A. Cunningham, Iason Gabriel, Simon Osindero
https://arxiv.org/abs/2509.10147 https…
Responsible AI Adoption in the Public Sector: A Data-Centric Taxonomy of AI Adoption Challenges
Anastasija Nikiforova, Martin Lnenicka, Ulf Melin, David Valle-Cruz, Asif Gill, Cesar Casiano Flores, Emyana Sirait, Mariusz Luterek, Richard Michael Dreyling, Barbora Tesarova
https://arxiv.org/abs/2510.09634

Responsible AI Adoption in the Public Sector: A Data-Centric Taxonomy of AI Adoption Challenges
Despite Artificial Intelligence (AI) transformative potential for public sector services, decision-making, and administrative efficiency, adoption remains uneven due to complex technical, organizational, and institutional challenges. Responsible AI frameworks emphasize fairness, accountability, and transparency, aligning with principles of trustworthy AI and fair AI, yet remain largely aspirational, overlooking technical and institutional realities, especially foundational data and governance. …
VasoMIM: Vascular Anatomy-Aware Masked Image Modeling for Vessel Segmentation
De-Xing Huang, Xiao-Hu Zhou, Mei-Jiang Gui, Xiao-Liang Xie, Shi-Qi Liu, Shuang-Yi Wang, Tian-Yu Xiang, Rui-Ze Ma, Nu-Fang Xiao, Zeng-Guang Hou
https://arxiv.org/abs/2508.10794
Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice
Kevin Kuo, Chhavi Yadav, Virginia Smith
https://arxiv.org/abs/2510.12595 https://
And a nice balance; article archived on @… arguing " Against uncritical adoption of AI" https://zenodo.org/records/17065099
Doctronic, which uses generative AI for health guidance and offers video visits with licensed doctors, raised a $20M Series A led by Lightspeed Venture Partners (PYMNTS.com)
https://www.pymnts.com/healthcare/2025/doctronic-raise…
An Empirical Study of Reducing AV1 Decoder Complexity and Energy Consumption via Encoder Parameter Tuning
Vibhoothi Vibhoothi, Julien Zouein, Shanker Shreejith, Jean-Baptiste Kempf, Anil Kokaram
https://arxiv.org/abs/2510.12380
Autonomous Legged Mobile Manipulation for Lunar Surface Operations via Constrained Reinforcement Learning
Alvaro Belmonte-Baeza, Miguel Cazorla, Gabriel J. Garc\'ia, Carlos J. P\'erez-Del-Pulgar, Jorge Pomares
https://arxiv.org/abs/2510.12684
What Generative Search Engines Like and How to Optimize Web Content Cooperatively
Yujiang Wu, Shanshan Zhong, Yubin Kim, Chenyan Xiong
https://arxiv.org/abs/2510.11438 https://
CrisisNews: A Dataset Mapping Two Decades of News Articles on Online Problematic Behavior at Scale
Jeanne Choi, DongJae Kang, Yubin Choi, Juhoon Lee, Joseph Seering
https://arxiv.org/abs/2510.12243
Optimizing Freight Rail Electrification: A Framework for Charge Station Selection and Battery Charge/Swap Scheduling
Jia Guo, Elnaz Irannezhad
https://arxiv.org/abs/2509.10157 h…
HEAR: An EEG Foundation Model with Heterogeneous Electrode Adaptive Representation
Zhige Chen, Chengxuan Qin, Wenlong You, Rui Liu, Congying Chu, Rui Yang, Kay Chen Tan, Jibin Wu
https://arxiv.org/abs/2510.12515
Meta-Analysis with JASP, Part I: Classical Approaches
Franti\v{s}ek Barto\v{s}, Eric-Jan Wagenmakers, Wolfgang Viechtbauer
https://arxiv.org/abs/2509.09845 https://
Optimal Multi-Modal Transportation and Electric Power Flow: The Value of Coordinated Dynamic Operation
Jiajie Qiu, Dakota Thompson, Kamal Youcef-Toumi, Amro M. Farid
https://arxiv.org/abs/2510.10914
CoMoE: Collaborative Optimization of Expert Aggregation and Offloading for MoE-based LLMs at Edge
Muqing Li, Ning Li, Xin Yuan, Wenchao Xu, Quan Chen, Song Guo, Haijun Zhang
https://arxiv.org/abs/2508.09208
AI-Assisted Physics-Informed Predictions of Degradation Behavior of Polymeric Anion Exchange Membranes
William Schertzer, Mohamed Al Otmi, Janani Sampath, Ryan P. Lively, Rampi Ramprasad
https://arxiv.org/abs/2510.12655
Fantastic interview with @… and @… about their recent position paper "Against the Uncritical Adoption of 'AI' Technologies in Academia" with a comprehensive summary of hard-hitting criticisms (and realities!) of said ongoing u…
'This is child trafficking' — Russia launches 'catalog' of Ukrainian children for adoption, sorted by eye and hair color
https://kyivindependent.com/russia-launches-catalogue-of-ukrainian-children-for-adoption-sorted-by-eye-and-hair-color/
A Demonstration of Self-Adaptive Jamming Attack Detection in AI/ML Integrated O-RAN
Md Habibur Rahman, Md Sharif Hossen, Nathan H. Stephenson, Vijay K. Shah, Aloizio Da Silva
https://arxiv.org/abs/2510.09706
Generating Energy-Efficient Code via Large-Language Models -- Where are we now?
Radu Apsan, Vincenzo Stoico, Michel Albonico, Rudra Dhar, Karthik Vaidhyanathan, Ivano Malavolta
https://arxiv.org/abs/2509.10099
Predictive Control Strategies for Sustaining Innovation Adoption on Multilayer Social Networks
Martina Alutto, Qiulin Xu, Fabrizio Dabbene, Hideaki Ishii, Chiara Ravazzi
https://arxiv.org/abs/2509.01457
Generative AI and Firm Productivity: Field Experiments in Online Retail
Lu Fang, Zhe Yuan, Kaifu Zhang, Dante Donati, Miklos Sarvary
https://arxiv.org/abs/2510.12049 https://
Fascinating observations on EVs from David Fickling:
- High adoption rates in developing countries
- EVs pencil out unsubsidized
- Oil & gas are ~1/3 of all imports to In India and Pakistan
- Switching half of India’s car fleet to EVs could eliminate its current account deficit
- Rich countries are sabotaging their own energy transitions
I've been having more and more conversations with fellow tech workers about wanting to quit and work in something completely different.
Feels like the only thing stopping so many (including me) is that no other industry really feels stable or secure enough to be that much better at the moment.
Love for tech that these people used to feel, that I used to feel too, is gone. Extinguished. Drowned in schemes and forced adoption and normalized deceptive business practices.
https://mastodon.social/@alicetragedy/115009847096488775
In addition to the other EV reports published by BEUC, the European Consumer Association, today, there is also this one on improving the public EV charging experience. It addresses price transparency, competition, unfair pricing practices, and the need to accelerate dynamic pricing and smart charging on public charging points.
Smart Contract Adoption in Derivative Markets under Bounded Risk: An Optimization Approach
Jinho Cha, Long Pham, Thi Le Hoa Vo, Jaeyoung Cho, Jaejin Lee
https://arxiv.org/abs/2510.07006
pyspect: An Extensible Toolbox for Automatic Construction of Temporal Logic Trees via Reachability Analysis
Kaj Munhoz Arfvidsson, Loizos Hadjiloizou, Frank J. Jiang, Karl H. Johansson, Jonas M{\aa}rtensson
https://arxiv.org/abs/2510.11316
MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools
Zikang Guo, Benfeng Xu, Chiwei Zhu, Wentao Hong, Xiaorui Wang, Zhendong Mao
https://arxiv.org/abs/2509.09734
It is still funny to me that migration to IPv6 has been a national strategy in China since at least 2008 ("China Next Generation Internet") - long enough for the replacement of almost all endpoints - and they are still significantly trailing behind India.
https://blog.apnic.net/2025/08/13/chin
Replaced article(s) found for q-bio.TO. https://arxiv.org/list/q-bio.TO/new
[1/1]:
- The IBEX Imaging Knowledge-Base: A Community Resource Enabling Adoption and Development of Immuno...
Ziv Yaniv, et al.
Next Edit Prediction: Learning to Predict Code Edits from Context and Interaction History
Ruofan Lu, Yintong Huo, Meng Zhang, Yichen Li, Michael R. Lyu
https://arxiv.org/abs/2508.10074
Vibe Coding for UX Design: Understanding UX Professionals' Perceptions of AI-Assisted Design and Development
Jie Li, Youyang Hou, Laura Lin, Ruihao Zhu, Hancheng Cao, Abdallah El Ali
https://arxiv.org/abs/2509.10652
Enabling High-Quality In-the-Wild Imaging from Severely Aberrated Metalens Bursts
Debabrata Mandal, Zhihan Peng, Yujie Wang, Praneeth Chakravarthula
https://arxiv.org/abs/2510.10083
In a report, the G20's Financial Stability Board says regulators are in the early stages of tracking risks posed to the financial system by AI's rapid adoption (Laura Noonan/Bloomberg)
https://www.bloomberg.com/news/articles/20
Open Letter: Stop the Uncritical Adoption of AI Technologies in Academia
Yes Please!! This seems to be only for Dutch universities but every country should write the same letter!
Edit: I think this one is more general (quoting @…
Enhancing the Scalability of Classical Surrogates for Real-World Quantum Machine Learning Applications
Philip Anton Hernicht, Alona Sakhnenko, Corey O'Meara, Giorgio Cortiana, Jeanette Miriam Lorenz
https://arxiv.org/abs/2508.06131
Bridging Research and Practice in Simulation-based Testing of Industrial Robot Navigation Systems
Sajad Khatiri, Francisco Eli Vina Barrientos, Maximilian Wulf, Paolo Tonella, Sebastiano Panichella
https://arxiv.org/abs/2510.09396
ARPaCCino: An Agentic-RAG for Policy as Code Compliance
Francesco Romeo, Luigi Arena, Francesco Blefari, Francesco Aurelio Pironti, Matteo Lupinacci, Angelo Furfaro
https://arxiv.org/abs/2507.10584
Emerging Patterns of GenAI Use in K-12 Science and Mathematics Education
Lief Esbenshade (Victor), Shawon Sarkar (Victor), Drew Nucci (Victor), Ann Edwards (Victor), Sarah Nielsen (Victor), Joshua M. Rosenberg (Victor), Alex Liu (Victor), Zewei (Victor), Tian, Min Sun, Zachary Zhang, Thomas Han, Yulia Lapicus, Kevin He
https://arxiv.org/…
FS-RWKV: Leveraging Frequency Spatial-Aware RWKV for 3T-to-7T MRI Translation
Yingtie Lei, Zimeng Li, Chi-Man Pun, Yupeng Liu, Xuhang Chen
https://arxiv.org/abs/2510.08951 https…
Who Gets Seen in the Age of AI? Adoption Patterns of Large Language Models in Scholarly Writing and Citation Outcomes
Farhan Kamrul Khan, Hazem Ibrahim, Nouar Aldahoul, Talal Rahwan, Yasir Zaki
https://arxiv.org/abs/2509.08306
DualTrack: Sensorless 3D Ultrasound needs Local and Global Context
Paul F. R. Wilson, Matteo Ronchetti, R\"udiger G\"obl, Viktoria Markova, Sebastian Rosenzweig, Raphael Prevost, Parvin Mousavi, Oliver Zettinig
https://arxiv.org/abs/2509.09530
Toxic Ink on Immutable Paper: Content Moderation for Ethereum Input Data Messages (IDMs)
Xihan Xiong, Zhipeng Wang, Qin Wang, William Knottenbelt
https://arxiv.org/abs/2510.10761
Testing and Enhancing Multi-Agent Systems for Robust Code Generation
Zongyi Lyu, Songqiang Chen, Zhenlan Ji, Liwen Wang, Shuai Wang, Daoyuan Wu, Wenxuan Wang, Shing-Chi Cheung
https://arxiv.org/abs/2510.10460
Exploring Artificial Intelligence and Culture: Methodology for a comparative study of AI's impact on norms, trust, and problem-solving across academic and business environments
Matthias Huemmer, Theophile Shyiramunda, Michelle J. Cummings-Koether
https://arxiv.org/abs/2510.11530

Exploring Artificial Intelligence and Culture: Methodology for a comparative study of AI's impact on norms, trust, and problem-solving across academic and business environments
This paper proposes a rigorous framework to examine the two-way relationship between artificial intelligence (AI), human cognition, problem-solving, and cultural adaptation across academic and business settings. It addresses a key gap by asking how AI reshapes cognitive processes and organizational norms, and how cultural values and institutional contexts shape AI adoption, trust, and use over time. We employ a three-wave longitudinal design that tracks AI knowledge, perceived competence, trust…
China's vision for its autonomous vehicle industry, backed by state support and infrastructure investment, is driving its lead in ADAS and robotaxi deployment (Yi-Ling Liu/Rest of World)
https://restofworld.org/2025/china-ai-powered-self-driving-cars/
AZRA: Extending the Affective Capabilities of Zoomorphic Robots using Augmented Reality
Shaun Macdonald, Salma ElSayed, Mark McGill
https://arxiv.org/abs/2508.08507 https://
NL2GenSym: Natural Language to Generative Symbolic Rules for SOAR Cognitive Architecture via Large Language Models
Fang Yuan, Junjie Zeng, Yue Hu, Zhengqiu Zhu, Quanjun Yin, Yuxiang Xie
https://arxiv.org/abs/2510.09355
3D Human Mesh Estimation from Single View RGBD
Ozhan Suat, Bedirhan Uguz, Batuhan Karagoz, Muhammed Can Keles, Emre Akbas
https://arxiv.org/abs/2508.08178 https://
The European Commission outlines its Apply AI Strategy and AI in Science Strategy, aiming to speed up AI adoption in key industries and AI-driven research (Edith Hancock/Wall Street Journal)
https://www.wsj.com/tech/ai/eu…
CommandSans: Securing AI Agents with Surgical Precision Prompt Sanitization
Debeshee Das, Luca Beurer-Kellner, Marc Fischer, Maximilian Baader
https://arxiv.org/abs/2510.08829 h…
Functional Groups are All you Need for Chemically Interpretable Molecular Property Prediction
Roshan Balaji, Joe Bobby, Nirav Pravinbhai Bhatt
https://arxiv.org/abs/2509.09619 h…
Virtual Reality User Interface Design: Best Practices and Implementation
Esin Mehmedova, Santiago Berrezueta-Guzman, Stefan Wagner
https://arxiv.org/abs/2508.09358 https://
AI Adoption Across Mission-Driven Organizations
Dalia Ali, Muneeb Ahmed, Hailan Wang, Arfa Khan, Naira Paola Arnez Jordan, Sunnie S. Y. Kim, Meet Dilip Muchhala, Anne Kathrin Merkle, Orestis Papakyriakopoulos
https://arxiv.org/abs/2510.03868
Q&A with OpenAI COO Brad Lightcap on GPT-5, its dynamic reasoning, defining AGI, scaling vs. post-training, hallucinations, enterprise adoption, and more (Alex Kantrowitz/Big Technology)
https://www.
Load-Altering Attacks Against Power Grids: A Case Study Using the GB-36 Bus System Open Dataset
Syed Irtiza Maksud, Subhash Lakshminarayana
https://arxiv.org/abs/2508.08945 http…
RA-Gen: A Controllable Code Generation Framework Using ReAct for Multi-Agent Task Execution
Aofan Liu, Haoxuan Li, Bin Wang, Ao Yang, Hui Li
https://arxiv.org/abs/2510.08665 htt…
A Model-Driven Engineering Approach to AI-Powered Healthcare Platforms
Mira Raheem, Amal Elgammal, Michael Papazoglou, Bernd Kr\"amer, Neamat El-Tazi
https://arxiv.org/abs/2510.09308
The Trump administration's Big Tech courtship and its efforts to accelerate AI adoption across the US are alarming populists in the president's base (Joe Miller/Financial Times)
https://www.ft.com/content/d6aac7f1-b955-4c76-a144-1fe8d909f70b
Safe and Certifiable AI Systems: Concepts, Challenges, and Lessons Learned
Kajetan Schweighofer, Barbara Brune, Lukas Gruber, Simon Schmid, Alexander Aufreiter, Andreas Gruber, Thomas Doms, Sebastian Eder, Florian Mayer, Xaver-Paul Stadlbauer, Christoph Schwald, Werner Zellinger, Bernhard Nessler, Sepp Hochreiter
https://arxiv.org/abs/2509…
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
Improving the Developer Experience with a Low-Code Process Modelling Language
Henrique Henriques, Hugo Louren\c{c}o, Vasco Amaral, Miguel Goul\~ao
https://arxiv.org/abs/2508.06299
Databricks says it plans to integrate OpenAI's models, including GPT-5, into its data platform and AI product Agent Bricks, as part of a $100M multiyear deal (Rebecca Bellan/TechCrunch)
https://techcrunch.com/2025/09/25/data
From Technical Excellence to Practical Adoption: Lessons Learned Building an ML-Enhanced Trace Analysis Tool
Kaveh Shahedi, Matthew Khouzam, Heng Li, Maxime Lamothe, Foutse Khomh
https://arxiv.org/abs/2508.01430
StreetWeave: A Declarative Grammar for Street-Overlaid Visualization of Multivariate Data
Sanjana Srabanti, G. Elisabeta Marai, Fabio Miranda
https://arxiv.org/abs/2508.07496 ht…
ScamDetect: Towards a Robust, Agnostic Framework to Uncover Threats in Smart Contracts
Pasquale De Rosa, Pascal Felber, Valerio Schiavoni
https://arxiv.org/abs/2508.07094 https:…
The US GSA says AWS has agreed to provide federal agencies with up to $1B in discounts for cloud adoption, modernization, and training through 2028 (Annie Palmer/CNBC)
https://www.cnbc.com/2025/08/07/amazon-aws-federal-discounts.html