Tootfinder

Ukrainian military intelligence and special operations forces launch combined attack on Russian railway: https://benborges.xyz/2025/09/14/ukrainian-military-intelligence-and-special.html

Foxconn reports Q2 net operating profit up 27% YoY to ~$1.9B, beating estimates, on $59.73B revenue, on the strength of its growing AI server business (Dylan Butts/CNBC)
https://www.cnbc.com/2025/08/14/ai-demand-

AI demand boosts iPhone maker Foxconn's second-quarter profit by 27%, beating forecasts
Foxconn reported a second-quarter operating profit beat on strength of its growing artificial intelligence server business.

Artificial Emotion: A Survey of Theories and Debates on Realising Emotion in Artificial Intelligence
Yupei Li, Qiyang Sun, Michelle Schlicher, Yee Wen Lim, Bj\"orn W. Schuller
https://arxiv.org/abs/2508.10286

Artificial Emotion: A Survey of Theories and Debates on Realising Emotion in Artificial Intelligence
Affective Computing (AC) has enabled Artificial Intelligence (AI) systems to recognise, interpret, and respond to human emotions - a capability also known as Artificial Emotional Intelligence (AEI). It is increasingly seen as an important component of Artificial General Intelligence (AGI). We discuss whether in order to peruse this goal, AI benefits from moving beyond emotion recognition and synthesis to develop internal emotion-like states, which we term as Artificial Emotion (AE). This shift …

"Margaret Boden, a British philosopher and cognitive scientist who used the language of computers to explore the nature of thought and creativity, leading her to prescient insights about the possibilities and limitations of artificial intelligence, died on July 18."
https://www.nytimes.com/202…

Margaret Boden, Philosopher of Artificial Intelligence, Dies at 88
A cognitive scientist, she used the language of computers to explore the nature of human thought and creativity, offering prescient insights about A.I.

Extending the Entropic Potential of Events for Uncertainty Quantification and Decision-Making in Artificial Intelligence
Mark Zilberman
https://arxiv.org/abs/2508.10241 https://…

Extending the Entropic Potential of Events for Uncertainty Quantification and Decision-Making in Artificial Intelligence
This work demonstrates how the concept of the entropic potential of events -- a parameter quantifying the influence of discrete events on the expected future entropy of a system -- can enhance uncertainty quantification, decision-making, and interpretability in artificial intelligence (AI). Building on its original formulation in physics, the framework is adapted for AI by introducing an event-centric measure that captures how actions, observations, or other discrete occurrences impact uncertai…

Time for another round of critical AI weekend reading:
Crashing hard: why talking about bubbles obscures the real social cost of overinvesting into “Artificial Intelligence”
Aline Blankertz (@…)

Crashing hard: why talking about bubbles obscures the real social cost of overinvesting into “Artificial Intelligence”
More and more commentators talk about and warn of an “AI bubble”, and everybody seems to congratulate each other on being such a smart financial analyst. BUT: A bubble pops and you are left with air and maybe a splash of soap somewhere on the floor. A fairly clean affair. This kind of investor speak

"On Working with Wizards: Verifying magic on the jagged frontier" by Ethan Mollick: https://www.oneusefulthing.org/p/on-working-with-wizards
"In my book, Co-Intelligence, I outlined a way that people could work with

Have you or your kids ever tried to use YouTube with content restrictions on? Nearly everything is blocked. Google constantly blocked videos that were required for school. My kids have to log out of their google account just to do schoolwork.
This will be bad.
#youtoube #google

YouTube will start using AI to guess your age. If it’s wrong, you’ll have to prove it
YouTube will begin guessing users’ ages using artificial intelligence on Wednesday, as part of an effort to prevent kids from accessing inappropriate content online.

Ukraine behind attack on Russian railway logistics, undermining offensive capabilities, military intelligence source claims: https://benborges.xyz/2025/09/14/ukraine-behind-attack-on-russian.html

Yet another algorithmic bias: A Discursive Analysis of Large Language Models Reinforcing Dominant Discourses on Gender and Race
Gustavo Bonil, Simone Hashiguti, Jhessica Silva, Jo\~ao Gondim, Helena Maia, N\'adia Silva, Helio Pedrini, Sandra Avila
https://arxiv.org/abs/2508.10304

Yet another algorithmic bias: A Discursive Analysis of Large Language Models Reinforcing Dominant Discourses on Gender and Race
With the advance of Artificial Intelligence (AI), Large Language Models (LLMs) have gained prominence and been applied in diverse contexts. As they evolve into more sophisticated versions, it is essential to assess whether they reproduce biases, such as discrimination and racialization, while maintaining hegemonic discourses. Current bias detection approaches rely mostly on quantitative, automated methods, which often overlook the nuanced ways in which biases emerge in natural language. This st…

Operationalizing AI: Empirical Evidence on MLOps Practices, User Satisfaction, and Organizational Context
Stefan Pasch
https://arxiv.org/abs/2510.09968 https://

Operationalizing AI: Empirical Evidence on MLOps Practices, User Satisfaction, and Organizational Context
Organizational efforts to utilize and operationalize artificial intelligence (AI) are often accompanied by substantial challenges, including scalability, maintenance, and coordination across teams. In response, the concept of Machine Learning Operations (MLOps) has emerged as a set of best practices that integrate software engineering principles with the unique demands of managing the ML lifecycle. Yet, empirical evidence on whether and how these practices support users in developing and operat…

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning
Wenlong Liang, Rui Zhou, Yang Ma, Bing Zhang, Songlin Li, Yijia Liao, Ping Kuang
https://arxiv.org/abs/2508.10399

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning
Embodied AI aims to develop intelligent systems with physical forms capable of perceiving, decision-making, acting, and learning in real-world environments, providing a promising way to Artificial General Intelligence (AGI). Despite decades of explorations, it remains challenging for embodied agents to achieve human-level intelligence for general-purpose tasks in open dynamic environments. Recent breakthroughs in large models have revolutionized embodied AI by enhancing perception, interaction,…

Free artificial intelligence technology released by Chinese tech companies appears to be more powerful and popular than that developed by American rivals
https://www.washingtonpost.com/technology/2025/10/13/china-us-open-source-ai/

Analysis | China leads the U.S. on this measure of technological influence
China’s open AI models are now more powerful and popular than those released by American rivals, a shift with implications for the future of technology.

27. 28.10.2025 #DCIFJahrestagung in #Darmstadt

Themen:
Data Sourcing & Quality – verlässliche Information in der Datenflut

Intellectual Property & Value Creation – Patentwissen strategisch nutzen
Future-Oriented CI – Foresight & KI für…

Medico 2025: Visual Question Answering for Gastrointestinal Imaging
Sushant Gautam, Vajira Thambawita, Michael Riegler, P{\aa}l Halvorsen, Steven Hicks
https://arxiv.org/abs/2508.10869

Medico 2025: Visual Question Answering for Gastrointestinal Imaging
The Medico 2025 challenge addresses Visual Question Answering (VQA) for Gastrointestinal (GI) imaging, organized as part of the MediaEval task series. The challenge focuses on developing Explainable Artificial Intelligence (XAI) models that answer clinically relevant questions based on GI endoscopy images while providing interpretable justifications aligned with medical reasoning. It introduces two subtasks: (1) answering diverse types of visual questions using the Kvasir-VQA-x1 dataset, and (2…

Semantic Rate-Distortion Theory with Applications
Yi-Qun Zhao, Zhi-Ming Ma, Geoffrey Ye Li, Shuai Yuan, Tong Ye, Chuan Zhou
https://arxiv.org/abs/2509.10061 https://

Semantic Rate-Distortion Theory with Applications
Artificial intelligence (AI) is ushering in a new era for communication. As a result, the establishment of a semantic communication framework is putting on the agenda. Based on a realistic semantic communication model, this paper develops a rate-distortion framework for semantic compression. Different from the existing works primarily focusing on decoder-side estimation of intrinsic meaning and ignoring its inherent issues, such as ambiguity and polysemy, we exploit a constraint of conditional …

Will AI outsmart human intelligence? - Geoffrey Hinton - recorded at the Ri on 30 May 2025
https://www.youtube.com/watch?v=IkdziSLYzHw

Mapping the Urban Mobility Intelligence Frontier: A Scientometric Analysis of Data-Driven Pedestrian Trajectory Prediction and Simulation
Junhao Xu, Hui Zeng
https://arxiv.org/abs/2510.10327

Mapping the Urban Mobility Intelligence Frontier: A Scientometric Analysis of Data-Driven Pedestrian Trajectory Prediction and Simulation
Understanding and predicting pedestrian dynamics has become essential for shaping safer, more responsive, and human-centered urban environments. This study conducts a comprehensive scientometric analysis of research on data-driven pedestrian trajectory prediction and crowd simulation, mapping its intellectual evolution and interdisciplinary structure. Using bibliometric data from the Web of Science Core Collection, we employ SciExplorer and Bibliometrix to identify major trends, influential con…

Artificial Intelligence, Domain AI Readiness, and Firm Productivity
Sipeng Zeng, Xiaoning Wang, Tianshu Sun
https://arxiv.org/abs/2508.09634 https://arxiv.…

Artificial Intelligence, Domain AI Readiness, and Firm Productivity
Although Artificial Intelligence (AI) holds great promise for enhancing innovation and productivity, many firms struggle to realize its benefits. We investigate why some firms and industries succeed with AI while others do not, focusing on the degree to which an industrial domain is technologically integrated with AI, which we term "domain AI readiness". Using panel data on Chinese listed firms from 2016 to 2022, we examine how the interaction between firm-level AI capabilities and domain AI re…

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…

CISA official calls on lawmakers to extend cyber info-sharing law https://therecord.media/cisa-official-calls-on-lawmakers-renew-cisa2015

[OT] Revealed: Apple is teaching its AI to adapt to the Trump era https://www.politico.eu/article/apple-teaching-artificial-intelligence-adapt-to-trump-era/ "updated guidelines on how the AI talks about diversity, equity and inclusion poli…

Apple is teaching its artificial intelligence to adapt to the Trump era
Apple policy documents enacted by a subcontractor show how the company shifted its approach to fine-tuning its AI in March, two months after the U.S. president was inaugurated.

“Against the Uncritical Adoption of 'AI' Technologies in Academia”
https://zenodo.org/records/17065099

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[4/4]:
- Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Liu, Du, Yang, Wu, Wang, Hu, Wang, Liu, Sun, Boukerche, Leung

Artificial intelligence for simplified patient-centered dosimetry in radiopharmaceutical therapies
Alejandro Lopez-Montes, Fereshteh Yousefirizi, Yizhou Chen, Yazdan Salimi, Robert Seifert, Ali Afshar-Oromieh, Carlos Uribe, Axel Rominger, Habib Zaidi, Arman Rahmim, Kuangyu Shi
https://arxiv.org/abs/2510.12714…

Artificial intelligence for simplified patient-centered dosimetry in radiopharmaceutical therapies
KEY WORDS: Artificial Intelligence (AI), Theranostics, Dosimetry, Radiopharmaceutical Therapy (RPT), Patient-friendly dosimetry KEY POINTS - The rapid evolution of radiopharmaceutical therapy (RPT) highlights the growing need for personalized and patient-centered dosimetry. - Artificial Intelligence (AI) offers solutions to the key limitations in current dosimetry calculations. - The main advances on AI for simplified dosimetry toward patient-friendly RPT are reviewed. - Future directions on th…

Sources: OpenAI is working with Arm to develop a CPU designed to work with the AI chip OpenAI is developing with Broadcom, which will be manufactured by TSMC (The Information)
https://www.theinformation.com/articles/openai-working-softbanks-arm-br…

OpenAI Is Working With SoftBank’s Arm on Broadcom AI Chip Effort
OpenAI’s development of its own artificial intelligence chip will benefit SoftBank, one of its biggest shareholders, which is also helping the ChatGPT maker develop and finance its ambitious data center plan. OpenAI is working with SoftBank’s Arm subsidiary to develop a central processing unit ...

People use fast, flat goal-directed simulation to reason about novel problems
Katherine M. Collins, Cedegao E. Zhang, Lionel Wong, Mauricio Barba da Costa, Graham Todd, Adrian Weller, Samuel J. Cheyette, Thomas L. Griffiths, Joshua B. Tenenbaum
https://arxiv.org/abs/2510.11503

People use fast, flat goal-directed simulation to reason about novel problems
Games have long been a microcosm for studying planning and reasoning in both natural and artificial intelligence, especially with a focus on expert-level or even super-human play. But real life also pushes human intelligence along a different frontier, requiring people to flexibly navigate decision-making problems that they have never thought about before. Here, we use novice gameplay to study how people make decisions and form judgments in new problem settings. We show that people are systemat…

Secret-Protected Evolution for Differentially Private Synthetic Text Generation
Tianze Wang, Zhaoyu Chen, Jian Du, Yingtai Xiao, Linjun Zhang, Qiang Yan
https://arxiv.org/abs/2510.10990

Secret-Protected Evolution for Differentially Private Synthetic Text Generation
Text data has become extremely valuable on large language models (LLMs) and even lead to general artificial intelligence (AGI). A lot of high-quality text in the real world is private and cannot be freely used due to privacy concerns. Therefore, differentially private (DP) synthetic text generation has been proposed, aiming to produce high-utility synthetic data while protecting sensitive information. However, existing DP synthetic text generation imposes uniform guarantees that often overprote…

The Social Cost of Intelligence: Emergence, Propagation, and Amplification of Stereotypical Bias in Multi-Agent Systems
Thi-Nhung Nguyen, Linhao Luo, Thuy-Trang Vu, Dinh Phung
https://arxiv.org/abs/2510.10943

The Social Cost of Intelligence: Emergence, Propagation, and Amplification of Stereotypical Bias in Multi-Agent Systems
Bias in large language models (LLMs) remains a persistent challenge, manifesting in stereotyping and unfair treatment across social groups. While prior research has primarily focused on individual models, the rise of multi-agent systems (MAS), where multiple LLMs collaborate and communicate, introduces new and largely unexplored dynamics in bias emergence and propagation. In this work, we present a comprehensive study of stereotypical bias in MAS, examining how internal specialization, underlyi…

Memorisation and forgetting in a learning Hopfield neural network: bifurcation mechanisms, attractors and basins
Adam E. Essex (Loughborough University, England), Natalia B. Janson (Loughborough University, England), Rachel A. Norris (Loughborough University, England), Alexander G. Balanov (Loughborough University, England)
https://arxiv.o…

Memorisation and forgetting in a learning Hopfield neural network: bifurcation mechanisms, attractors and basins
Despite explosive expansion of artificial intelligence based on artificial neural networks (ANNs), these are employed as "black boxes'', as it is unclear how, during learning, they form memories or develop unwanted features, including spurious memories and catastrophic forgetting. Much research is available on isolated aspects of learning ANNs, but due to their high dimensionality and non-linearity, their comprehensive analysis remains a challenge. In ANNs, knowledge is thought to reside in con…

So, Altman’s superintelligence will allegedly do away with millions of jobs, but don’t worry kids, after graduating you “could be leaving on some kind of mission to explore the solar system on a spaceship.”
“Some kind of a mission,” huh? That’s a nice way of saying that he’ll shoot useless people into space.
This level of stupidity and arrogance is sickening.

YouTube plans to start testing an age verification system in the US that uses AI to differentiate between adults and minors, first with a small number of users (Michael Liedtke/Associated Press)
https://apnews.com/article/youtube-video-age-ve…

YouTube testing a new age verification system in the U.S.
YouTube is ready to start testing a new age-verification system in the U.S. using artificial intelligence to distinguish between adults and minors based on their viewing habits. The tests, scheduled to being Wednesday, initially affect a small portion of YouTube's U.S. audience. If successful, the system could become more widespread. It works when viewers are logged into their accounts, regardless of the birth date entered. If flagged as under 18, users face restrictions like privacy warnings a…

Collective dynamics of strategic classification
Marta C. Couto, Flavia Barsotti, Fernando P. Santos
https://arxiv.org/abs/2508.09340 https://arxiv.org/pdf/…

Collective dynamics of strategic classification
Classification algorithms based on Artificial Intelligence (AI) are nowadays applied in high-stakes decisions in finance, healthcare, criminal justice, or education. Individuals can strategically adapt to the information gathered about classifiers, which in turn may require algorithms to be re-trained. Which collective dynamics will result from users' adaptation and algorithms' retraining? We apply evolutionary game theory to address this question. Our framework provides a mathematically rigoro…

ProGress: Structured Music Generation via Graph Diffusion and Hierarchical Music Analysis
Stephen Ni-Hahn, Chao P\'eter Yang, Mingchen Ma, Cynthia Rudin, Simon Mak, Yue Jiang
https://arxiv.org/abs/2510.10249

ProGress: Structured Music Generation via Graph Diffusion and Hierarchical Music Analysis
Artificial Intelligence (AI) for music generation is undergoing rapid developments, with recent symbolic models leveraging sophisticated deep learning and diffusion model algorithms. One drawback with existing models is that they lack structural cohesion, particularly on harmonic-melodic structure. Furthermore, such existing models are largely "black-box" in nature and are not musically interpretable. This paper addresses these limitations via a novel generative music framework that incorporate…

Thermal Analysis of 3D GPU-Memory Architectures with Boron Nitride Interposer
Eric Han Wang, Weijia Yan, Ruihong Huang
https://arxiv.org/abs/2510.11461 https://

Thermal Analysis of 3D GPU-Memory Architectures with Boron Nitride Interposer
As artificial intelligence (AI) chips become more powerful, the thermal management capabilities of conventional silicon (Si) substrates become insufficient for 3D-stacked designs. This work integrates electrically insulative and thermally conductive hexagonal boron nitride (h-BN) interposers into AI chips for effective thermal management. Using COMSOL Multiphysics, the effects of High-Bandwidth Memory (HBM) distributions and thermal interface material configurations on heat dissipation and hots…

Regarding proscribed organisations.
I imagine there are many people who remember UK ministers telling the public that the intelligence used to justify the Iraq invasion couldn't be disclosed, but if they knew it they'd support the descision.
And then, more than a decade later, people got to hear some of it and it was nonsense.

Fake Spy Based WMD Reports On Action Movie
The agent's claims were taken seriously until he gave himself away with his description of poisonous gases in glass containers.

Predictive Spike Timing Enables Distributed Shortest Path Computation in Spiking Neural Networks
Simen Storesund, Kristian Valset Aars, Robin Dietrich, Nicolai Waniek
https://arxiv.org/abs/2509.10077

Predictive Spike Timing Enables Distributed Shortest Path Computation in Spiking Neural Networks
Efficient planning and sequence selection are central to intelligence, yet current approaches remain largely incompatible with biological computation. Classical graph algorithms like Dijkstra's or A* require global state and biologically implausible operations such as backtracing, while reinforcement learning methods rely on slow gradient-based policy updates that appear inconsistent with rapid behavioral adaptation observed in natural systems. We propose a biologically plausible algorithm fo…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/7]:
- On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learn...
Zhang, Xie, Sun, Chen, Wang, Li, Ding, Zhou

Sources: Perplexity talked with The Browser Co. and Brave about buying them, offering ~$1B for Brave; OpenAI also discussed an acquisition with The Browser Co. (The Information)
https://www.theinformation.com/articles/wild-chrome-bid-perplexity-hunting-bro…

Before Wild Chrome Bid, Perplexity Had Been Hunting for Browsers
Perplexity made headlines this week when the artificial intelligence startup said it had offered to buy Google’s Chrome, the world’s largest internet browser, for a price amounting to nearly double its valuation. While that acquisition seems unlikely to transpire, the company has been on the ...

MX-AI: Agentic Observability and Control Platform for Open and AI-RAN
Ilias Chatzistefanidis, Andrea Leone, Ali Yaghoubian, Mikel Irazabal, Sehad Nassim, Lina Bariah, Merouane Debbah, Navid Nikaein
https://arxiv.org/abs/2508.09197

MX-AI: Agentic Observability and Control Platform for Open and AI-RAN
Future 6G radio access networks (RANs) will be artificial intelligence (AI)-native: observed, reasoned about, and re-configured by autonomous agents cooperating across the cloud-edge continuum. We introduce MX-AI, the first end-to-end agentic system that (i) instruments a live 5G Open RAN testbed based on OpenAirInterface (OAI) and FlexRIC, (ii) deploys a graph of Large-Language-Model (LLM)-powered agents inside the Service Management and Orchestration (SMO) layer, and (iii) exposes both observ…

OISMA: On-the-fly In-memory Stochastic Multiplication Architecture for Matrix-Multiplication Workloads
Shady Agwa, Yihan Pan, Georgios Papandroulidakis, Themis Prodromakis
https://arxiv.org/abs/2508.08822

OISMA: On-the-fly In-memory Stochastic Multiplication Architecture for Matrix-Multiplication Workloads
Artificial Intelligence models are currently driven by a significant up-scaling of their complexity, with massive matrix multiplication workloads representing the major computational bottleneck. In-memory computing architectures are proposed to avoid the Von Neumann bottleneck. However, both digital/binary-based and analogue in-memory computing architectures suffer from various limitations, which significantly degrade the performance and energy efficiency gains. This work proposes OISMA, a nove…

So, Altman’s superintelligence will allegedly do away with millions of jobs, but don’t worry kids, after graduating you “could be leaving on some kind of mission to explore the solar system on a spaceship.”
“Some kind of a mission,” huh? That’s a nice way of saying that he’ll shoot useless people into space.
This level of stupidity and arrogance is sickening.

So, Altman’s superintelligence will allegedly do away with millions of jobs, but don’t worry kids, after graduating you “could be leaving on some kind of mission to explore the solar system on a spaceship.”
“Some kind of a mission,” huh? That’s a nice way of saying that he’ll shoot useless people into space.
This level of stupidity and arrogance is sickening.

ODI-Bench: Can MLLMs Understand Immersive Omnidirectional Environments?
Liu Yang, Huiyu Duan, Ran Tao, Juntao Cheng, Sijing Wu, Yunhao Li, Jing Liu, Xiongkuo Min, Guangtao Zhai
https://arxiv.org/abs/2510.11549

ODI-Bench: Can MLLMs Understand Immersive Omnidirectional Environments?
Omnidirectional images (ODIs) provide full 360x180 view which are widely adopted in VR, AR and embodied intelligence applications. While multi-modal large language models (MLLMs) have demonstrated remarkable performance on conventional 2D image and video understanding benchmarks, their ability to comprehend the immersive environments captured by ODIs remains largely unexplored. To address this gap, we first present ODI-Bench, a novel comprehensive benchmark specifically designed for omnidirecti…

Beyond Survival: Evaluating LLMs in Social Deduction Games with Human-Aligned Strategies
Zirui Song, Yuan Huang, Junchang Liu, Haozhe Luo, Chenxi Wang, Lang Gao, Zixiang Xu, Mingfei Han, Xiaojun Chang, Xiuying Chen
https://arxiv.org/abs/2510.11389

Beyond Survival: Evaluating LLMs in Social Deduction Games with Human-Aligned Strategies
Social deduction games like Werewolf combine language, reasoning, and strategy, providing a testbed for studying natural language and social intelligence. However, most studies reduce the game to LLM-based self-play, yielding templated utterances and anecdotal cases that overlook the richness of social gameplay. Evaluation further relies on coarse metrics such as survival time or subjective scoring due to the lack of quality reference data. To address these gaps, we curate a high-quality, human…

Security Analysis of ChatGPT: Threats and Privacy Risks
Yushan Xiang, Zhongwen Li, Xiaoqi Li
https://arxiv.org/abs/2508.09426 https://arxiv.org/pdf/2508.09…

Security Analysis of ChatGPT: Threats and Privacy Risks
As artificial intelligence technology continues to advance, chatbots are becoming increasingly powerful. Among them, ChatGPT, launched by OpenAI, has garnered widespread attention globally due to its powerful natural language processing capabilities based on the GPT model, which enables it to engage in natural conversations with users, understand various forms of linguistic expressions, and generate useful information and suggestions. However, as its application scope expands, user demand grows…

Scaling Artificial Intelligence for Prostate Cancer Detection on MRI towards Population-Based Screening and Primary Diagnosis in a Global, Multiethnic Population (Study Protocol)
Anindo Saha (on behalf of the PI-CAI, ProCAncer-I, COMFORT, STHLM3-MRI,PRIME consortia), Joeran S. Bosma (on behalf of the PI-CAI, ProCAncer-I, COMFORT, STHLM3-MRI,PRIME consortia), Jasper J. Twilt (on behalf of the PI-CAI, ProCAncer-I, COMFORT, STHLM3-MRI,PRIME consortia), Alexander B. C. D. Ng (on behalf of …

Scaling Artificial Intelligence for Prostate Cancer Detection on MRI towards Population-Based Screening and Primary Diagnosis in a Global, Multiethnic Population (Study Protocol)
In this intercontinental, confirmatory study, we include a retrospective cohort of 22,481 MRI examinations (21,288 patients; 46 cities in 22 countries) to train and externally validate the PI-CAI-2B model, i.e., an efficient, next-generation iteration of the state-of-the-art AI system that was developed for detecting Gleason grade group $\geq$2 prostate cancer on MRI during the PI-CAI study. Of these examinations, 20,471 cases (19,278 patients; 26 cities in 14 countries) from two EU Horizon pro…

Anatomy of a Machine Learning Ecosystem: 2 Million Models on Hugging Face
Benjamin Laufer, Hamidah Oderinwale, Jon Kleinberg
https://arxiv.org/abs/2508.06811 https://

Anatomy of a Machine Learning Ecosystem: 2 Million Models on Hugging Face
Many have observed that the development and deployment of generative machine learning (ML) and artificial intelligence (AI) models follow a distinctive pattern in which pre-trained models are adapted and fine-tuned for specific downstream tasks. However, there is limited empirical work that examines the structure of these interactions. This paper analyzes 1.86 million models on Hugging Face, a leading peer production platform for model development. Our study of model family trees -- networks th…

Revisiting Trust in the Era of Generative AI: Factorial Structure and Latent Profiles
Haocan Sun, Weizi Liu, Di Wu, Guoming Yu, Mike Yao
https://arxiv.org/abs/2510.10199 https:/…

Revisiting Trust in the Era of Generative AI: Factorial Structure and Latent Profiles
Trust is one of the most important factors shaping whether and how people adopt and rely on artificial intelligence (AI). Yet most existing studies measure trust in terms of functionality, focusing on whether a system is reliable, accurate, or easy to use, while giving less attention to the social and emotional dimensions that are increasingly relevant for today's generative AI (GenAI) systems. These systems do not just process information; they converse, respond, and collaborate with users, bl…

Between Fear and Desire, the Monster Artificial Intelligence (AI): Analysis through the Lenses of Monster Theory
Ahmed Tlili
https://arxiv.org/abs/2508.08318 https://

Between Fear and Desire, the Monster Artificial Intelligence (AI): Analysis through the Lenses of Monster Theory
With the increasing adoption of Artificial Intelligence (AI) in all fields and daily activities, a heated debate is found about the advantages and challenges of AI and the need for navigating the concerns associated with AI to make the best of it. To contribute to this literature and the ongoing debate related to it, this study draws on the Monster theory to explain the conflicting representation of AI. It suggests that studying monsters in popular culture can provide an in-depth understanding …

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[10/14]:
- On Convolutions, Intrinsic Dimension, and Diffusion Models
Kin Kwan Leung, Rasa Hosseinzadeh, Gabriel Loaiza-Ganem

John Searle, known for "the Chinese Room" thought experiment on AI consciousness, died on Sept. 16 at 93; his UCB tenure ended over alleged sexual harassment (Alex Traub/New York Times)
https://www.nytimes.com/2025/10/12/books/john-searle-dead.html

John Searle, Philosopher Who Wrestled With A.I., Dies at 93
His blunt debating and imaginative theorizing about artificial intelligence and the human mind made him a leading scholar. But sexual-harassment allegations ended his career.

AI-enabled tuberculosis screening in a high-burden setting using cough sound analysis and speech foundation models
Ning Ma, Bahman Mirheidari, Guy J. Brown, Minyoi M. Maimbolwa, Nsala Sanjase, Solomon Chifwamba, Seke Muzazu, Monde Muyoyeta, Mary Kagujje
https://arxiv.org/abs/2509.09746

AI-enabled tuberculosis screening in a high-burden setting using cough sound analysis and speech foundation models
Background Artificial intelligence (AI) can detect disease-related acoustic patterns in cough sounds, offering a scalable approach to tuberculosis (TB) screening in high-burden, low-resource settings. Previous studies have been limited by small datasets, under-representation of symptomatic non-TB patients, reliance on simple models, and recordings collected under idealised conditions. Methods We enrolled 512 participants at two hospitals in Zambia, grouped as bacteriologically confirmed T…

FineState-Bench: A Comprehensive Benchmark for Fine-Grained State Control in GUI Agents
Fengxian Ji, Jingpu Yang, Zirui Song, Yuanxi Wang, Zhexuan Cui, Yuke Li, Qian Jiang, Miao Fang, Xiuying Chen
https://arxiv.org/abs/2508.09241

FineState-Bench: A Comprehensive Benchmark for Fine-Grained State Control in GUI Agents
With the rapid advancement of generative artificial intelligence technology, Graphical User Interface (GUI) agents have demonstrated tremendous potential for autonomously managing daily tasks through natural language instructions. However, current evaluation frameworks for GUI agents suffer from fundamental flaws: existing benchmarks overly focus on coarse-grained task completion while neglecting fine-grained control capabilities crucial for real-world applications. To address this, we introduc…

The anatomy of Green AI technologies: structure, evolution, and impact
Lorenzo Emer, Andrea Mina, Andrea Vandin
https://arxiv.org/abs/2509.10109 https://ar…

The anatomy of Green AI technologies: structure, evolution, and impact
Artificial intelligence (AI) is a key enabler of innovation against climate change. In this study, we investigate the intersection of AI and climate adaptation and mitigation technologies through patent analyses of a novel dataset of approximately 63 000 Green AI patents. We analyze patenting trends, corporate ownership of the technology, the geographical distributions of patents, their impact on follow-on inventions and their market value. We use topic modeling (BERTopic) to identify 16 major …

Before a law enforcement crackdown hobbled it in 2021,
"the Base" established itself as one of the most active neo-Nazi accelerationist groups
— a term for groups that seek to hasten societal collapse by violent means.
Now the Base has rebuilt, to the extent that last year it earned a spot on the European Union list of sanctioned terrorist groups.
A sudden burst of activity in Ukraine has renewed suspicions that the Base and its leader,
Rinaldo Nazzaro,…

Neo-Nazi group with US links may be backed by Russian intelligence
Before a law enforcement crackdown hobbled it in 2021, the Base established itself as one of the most active neo-Nazi accelerationist groups — a term for groups that seek to hasten societal collapse by violent means.Now the Base has rebuilt, to the extent that last year it earned a spot on the Europ...

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/8]:
- On the Fairness of Privacy Protection: Measuring and Mitigating the Disparity of Group Privacy Ri...
Zhi Yang, Changwu Huang, Ke Tang, Xin Yao

A Comprehensive Survey of Datasets for Clinical Mental Health AI Systems
Aishik Mandal, Prottay Kumar Adhikary, Hiba Arnaout, Iryna Gurevych, Tanmoy Chakraborty
https://arxiv.org/abs/2508.09809

A Comprehensive Survey of Datasets for Clinical Mental Health AI Systems
Mental health disorders are rising worldwide. However, the availability of trained clinicians has not scaled proportionally, leaving many people without adequate or timely support. To bridge this gap, recent studies have shown the promise of Artificial Intelligence (AI) to assist mental health diagnosis, monitoring, and intervention. However, the development of efficient, reliable, and ethical AI to assist clinicians is heavily dependent on high-quality clinical training datasets. Despite growi…

A Cyber-Twin Based Honeypot for Gathering Threat Intelligence
Muhammad Azmi Umer, Zhan Xuna, Yan Lin Aung, Aditya P. Mathur, Jianying Zhou
https://arxiv.org/abs/2509.09222 https…

A Cyber-Twin Based Honeypot for Gathering Threat Intelligence
Critical Infrastructure (CI) is prone to cyberattacks. Several techniques have been developed to protect CI against such attacks. In this work, we describe a honeypot based on a cyber twin for a water treatment plant. The honeypot is intended to serve as a realistic replica of a water treatment plant that attracts potential attackers. The attacks launched on the honeypot are recorded and analyzed for threat intelligence. The intelligence so obtained is shared with the management of water treatm…

NavSpace: How Navigation Agents Follow Spatial Intelligence Instructions
Haolin Yang, Yuxing Long, Zhuoyuan Yu, Zihan Yang, Minghan Wang, Jiapeng Xu, Yihan Wang, Ziyan Yu, Wenzhe Cai, Lei Kang, Hao Dong
https://arxiv.org/abs/2510.08173

NavSpace: How Navigation Agents Follow Spatial Intelligence Instructions
Instruction-following navigation is a key step toward embodied intelligence. Prior benchmarks mainly focus on semantic understanding but overlook systematically evaluating navigation agents' spatial perception and reasoning capabilities. In this work, we introduce the NavSpace benchmark, which contains six task categories and 1,228 trajectory-instruction pairs designed to probe the spatial intelligence of navigation agents. On this benchmark, we comprehensively evaluate 22 navigation agents, in…

HyperAgent: Leveraging Hypergraphs for Topology Optimization in Multi-Agent Communication
Heng Zhang, Yuling Shi, Xiaodong Gu, Zijian Zhang, Haochen You, Lubin Gan, Yilei Yuan, Jin Huang
https://arxiv.org/abs/2510.10611

HyperAgent: Leveraging Hypergraphs for Topology Optimization in Multi-Agent Communication
Recent advances in large language model-powered multi-agent systems have demonstrated remarkable collective intelligence through effective communication. However, existing approaches face two primary challenges: (i) \textit{Ineffective group collaboration modeling}, as they rely on pairwise edge representations in graph structures, limiting their ability to capture relationships among multiple agents; and (ii) \textit{Limited task-adaptiveness in communication topology design}, leading to exces…

AI in Computational Thinking Education in Higher Education: A Systematic Literature Review
Ebrahim Rahimi, Clara Maathuis
https://arxiv.org/abs/2510.09677 https://

AI in Computational Thinking Education in Higher Education: A Systematic Literature Review
Computational Thinking (CT) is a key skill set for students in higher education to thrive and adapt to an increasingly technology-driven future and workplace. While research on CT education has gained remarkable momentum in K12 over the past decade, it has remained under-explored in higher education, leaving higher education teachers with an insufficient overview, knowledge, and support regarding CT education. The proliferation and adoption of artificial intelligence (AI) by educational institu…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/14]:
- QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory
Wang, Huang, Tian, Su, Yu, Liao, Fan, Guo, Cheng

Prompt-Guided Spatial Understanding with RGB-D Transformers for Fine-Grained Object Relation Reasoning
Tanner Muturi, Blessing Agyei Kyem, Joshua Kofi Asamoah, Neema Jakisa Owor, Richard Dyzinela, Andrews Danyo, Yaw Adu-Gyamfi, Armstrong Aboah
https://arxiv.org/abs/2510.11996

Prompt-Guided Spatial Understanding with RGB-D Transformers for Fine-Grained Object Relation Reasoning
Spatial reasoning in large-scale 3D environments such as warehouses remains a significant challenge for vision-language systems due to scene clutter, occlusions, and the need for precise spatial understanding. Existing models often struggle with generalization in such settings, as they rely heavily on local appearance and lack explicit spatial grounding. In this work, we introduce a dedicated spatial reasoning framework for the Physical AI Spatial Intelligence Warehouse dataset introduced in th…

UXer-AI Collaboration Process for Enhancing Trust
Harin Yoon, Dongwhan Kim, Changhoon Oh, Soojin Jun
https://arxiv.org/abs/2510.11087 https://arxiv.org/pdf…

UXer-AI Collaboration Process for Enhancing Trust
In recent years, discussions on integrating Artificial Intelligence (AI) into UX design have intensified. However, the practical application of AI tools in design is limited by their operation within overly simplified scenarios, inherent complexity and unpredictability, and a general lack of relevant education. This study proposes an effective UXer-AI collaboration process to address these issues and seeks to identify efficient AI collaboration strategies through a series of user studies. In a …

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

A Model-Driven Engineering Approach to AI-Powered Healthcare Platforms
Artificial intelligence (AI) has the potential to transform healthcare by supporting more accurate diagnoses and personalized treatments. However, its adoption in practice remains constrained by fragmented data sources, strict privacy rules, and the technical complexity of building reliable clinical systems. To address these challenges, we introduce a model driven engineering (MDE) framework designed specifically for healthcare AI. The framework relies on formal metamodels, domain-specific lang…

This is just sensationally bad: Microsoft struck a deal with the Israeli secret intelligence arm Unit 8200 that allowed it to build a powerful new mass surveillance tool that collects and stores recordings of millions of mobile phone calls made each day by Palestinians in Gaza and the West Bank.
‘A million calls an hour’: Israel relying on Microsoft cloud for expansive surveillance of Palestinians

📢 Save the Date!
#DCIFJahrestagung2025
Wissen. Wettbewerb. Wandel. - #CompetitiveIntelligence neu denken
27. & 28. Oktober 2025, Wilhelm Büchner Hochschule, Darmstadt
Wir freuen uns über Minesoft als Silbersponsor der Jahrestagung sowie di…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[7/7]:
- Fewer Weights, More Problems: A Practical Attack on LLM Pruning
Kazuki Egashira, Robin Staab, Thibaud Gloaguen, Mark Vero, Martin Vechev

After years of patient investment, China is on the cusp of a robotics revolution.

If embodied intelligence
— think AI-powered robots that can navigate the real world
— is the next frontier of AI, then China appears poised to dominate.
Though the United States still has distinct advantages in software, advanced AI chips and foundational research, China leads in robot hardware, deployment and policy support.

Last year, China installed nearly 300,000 robots in its fact…

The Chinese robots are coming
China is miles ahead in the race to dominate a technology that could define the 21st century.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/7]:
- A Method to Improve the Performance of Reinforcement Learning Based on the Y Operator for a Class...
Cheng Yin, Yi Chen

Hands-on with Alexa : fun to talk to and good at handling multistep requests, but it is buggy, unreliable, and worse at some basic tasks than the original Alexa (Kevin Roose/New York Times)
https://www.nytimes.com/2025/0…

Alexa Got an A.I. Brain Transplant. How Smart Is It Now?
It took Amazon several years to overcome technical hurdles as it remade its voice assistant with new artificial intelligence technology.

Ukrainian Intelligence: China supplying satellite data to Russia for missile strikes on Ukraine: https://benborges.xyz/2025/10/04/ukrainian-intelligence-china-supplying-satellite.html

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/6]:
- Capabilities of GPT-5 on Multimodal Medical Reasoning
Shansong Wang, Mingzhe Hu, Qiang Li, Mojtaba Safari, Xiaofeng Yang

Protected Grounds and the System of Non-Discrimination Law in the Context of Algorithmic Decision-Making and Artificial Intelligence
Janneke Gerards, Frederik Zuiderveen Borgesius
https://arxiv.org/abs/2509.08837

Protected Grounds and the System of Non-Discrimination Law in the Context of Algorithmic Decision-Making and Artificial Intelligence
Algorithmic decision-making and similar types of artificial intelligence (AI) may lead to improvements in all sectors of society, but can also have discriminatory effects. While current non-discrimination law offers people some protection, algorithmic decision-making presents the law with several challenges. For instance, algorithms can generate new categories of people based on seemingly innocuous characteristics, such as web browser preference or apartment number, or more complicated categori…

EICAP: Deep Dive in Assessment and Enhancement of Large Language Models in Emotional Intelligence through Multi-Turn Conversations
Nizi Nazar, Ehsaneddin Asgari
https://arxiv.org/abs/2508.06196

EICAP: Deep Dive in Assessment and Enhancement of Large Language Models in Emotional Intelligence through Multi-Turn Conversations
Emotional Intelligence (EI) is a critical yet underexplored dimension in the development of human-aligned LLMs. To address this gap, we introduce a unified, psychologically grounded four-layer taxonomy of EI tailored for large language models (LLMs), encompassing emotional tracking, cause inference, appraisal, and emotionally appropriate response generation. Building on this framework, we present EICAP-Bench, a novel MCQ style multi-turn benchmark designed to evaluate EI capabilities in open-so…

Doomer predictions of a rapid, monopolistic AGI were wrong, as recent AI model releases resemble a Goldilocks scenario with competitive, specialized models (David Sacks/@davidsacks)
https://x.com/davidsacks/status/1954244614304739360

David Sacks (@DavidSacks) on X
A BEST CASE SCENARIO FOR AI? The Doomer narratives were wrong. Predicated on a “rapid take-off” to AGI, they predicted that the leading AI model would use its intelligence to self-improve, leaving others in the dust, and quickly achieving a godlike superintelligence. Instead, we

AttestLLM: Efficient Attestation Framework for Billion-scale On-device LLMs
Ruisi Zhang, Yifei Zhao, Neusha Javidnia, Mengxin Zheng, Farinaz Koushanfar
https://arxiv.org/abs/2509.06326

AttestLLM: Efficient Attestation Framework for Billion-scale On-device LLMs
As on-device LLMs(e.g., Apple on-device Intelligence) are widely adopted to reduce network dependency, improve privacy, and enhance responsiveness, verifying the legitimacy of models running on local devices becomes critical. Existing attestation techniques are not suitable for billion-parameter Large Language Models (LLMs), struggling to remain both time- and memory-efficient while addressing emerging threats in the LLM era. In this paper, we present AttestLLM, the first-of-its-kind attestatio…

Measuring Implicit Spatial Coordination in Teams: Effects on Collective Intelligence and Performance
Thuy Ngoc Nguyen, Anita Williams Woolley, Cleotilde Gonzalez
https://arxiv.org/abs/2509.09314

Measuring Implicit Spatial Coordination in Teams: Effects on Collective Intelligence and Performance
Coordinated teamwork is essential in fast-paced decision-making environments that require dynamic adaptation, often without an opportunity for explicit communication. Although implicit coordination has been extensively considered in the existing literature, the majority of work has focused on co-located, synchronous teamwork (such as sports teams) or, in distributed teams, primarily on coordination of knowledge work. However, many teams (firefighters, military, law enforcement, emergency respon…

Apple says Apple Intelligence will use OpenAI's GPT-5 on iOS 26, iPadOS 26, and macOS Tahoe 26, with the system updates expected to arrive in September (Zac Hall/9to5Mac)
https://9to5mac.com/2025/08/07/apple-intelligence-gpt-5-chatgpt-integration/

Here's when ChatGPT integration within Apple Intelligence will use GPT-5 - 9to5Mac
Earlier today, OpenAI announced GPT-5, its latest model to power ChatGPT. The new frontier model is a significant leap forward...

AI Harmonics: a human-centric and harms severity-adaptive AI risk assessment framework
Sofia Vei, Paolo Giudici, Pavlos Sermpezis, Athena Vakali, Adelaide Emma Bernardelli
https://arxiv.org/abs/2509.10104

AI Harmonics: a human-centric and harms severity-adaptive AI risk assessment framework
The absolute dominance of Artificial Intelligence (AI) introduces unprecedented societal harms and risks. Existing AI risk assessment models focus on internal compliance, often neglecting diverse stakeholder perspectives and real-world consequences. We propose a paradigm shift to a human-centric, harm-severity adaptive approach grounded in empirical incident data. We present AI Harmonics, which includes a novel AI harm assessment metric (AIH) that leverages ordinal severity data to capture rela…

Scaling Learned Image Compression Models up to 1 Billion
Yuqi Li, Haotian Zhang, Li Li, Dong Liu, Feng Wu
https://arxiv.org/abs/2508.09075 https://arxiv.or…

Scaling Learned Image Compression Models up to 1 Billion
Recent advances in large language models (LLMs) highlight a strong connection between intelligence and compression. Learned image compression, a fundamental task in modern data compression, has made significant progress in recent years. However, current models remain limited in scale, restricting their representation capacity, and how scaling model size influences compression performance remains unexplored. In this work, we present a pioneering study on scaling up learned image compression mode…

Large Language Model Data Generation for Enhanced Intent Recognition in German Speech
Theresa Pekarek Rosin, Burak Can Kaplan, Stefan Wermter
https://arxiv.org/abs/2508.06277 ht…

Large Language Model Data Generation for Enhanced Intent Recognition in German Speech
Intent recognition (IR) for speech commands is essential for artificial intelligence (AI) assistant systems; however, most existing approaches are limited to short commands and are predominantly developed for English. This paper addresses these limitations by focusing on IR from speech by elderly German speakers. We propose a novel approach that combines an adapted Whisper ASR model, fine-tuned on elderly German speech (SVC-de), with Transformer-based language models trained on synthetic text d…

The Othello AI Arena: Evaluating Intelligent Systems Through Limited-Time Adaptation to Unseen Boards
Sundong Kim
https://arxiv.org/abs/2508.09292 https://…

The Othello AI Arena: Evaluating Intelligent Systems Through Limited-Time Adaptation to Unseen Boards
The ability to rapidly adapt to novel and unforeseen environmental changes is a cornerstone of artificial general intelligence (AGI), yet it remains a critical blind spot in most existing AI benchmarks. Traditional evaluation largely focuses on optimizing performance within fixed environments, failing to assess systems' flexibility and generalization capabilities when faced with even subtle rule or structural modifications. Addressing this gap, I introduce the Othello AI Arena, a novel benchmar…

The Impact of Artificial Intelligence on Traditional Art Forms: A Disruption or Enhancement
Viswa Chaitanya Marella, Sai Teja Erukude, Suhasnadh Reddy Veluru
https://arxiv.org/abs/2509.07029

The Impact of Artificial Intelligence on Traditional Art Forms: A Disruption or Enhancement
The introduction of Artificial Intelligence (AI) into the domains of traditional art (visual arts, performing arts, and crafts) has sparked a complicated discussion about whether this might be an agent of disruption or an enhancement of our traditional art forms. This paper looks at the duality of AI, exploring the ways that recent technologies like Generative Adversarial Networks and Diffusion Models, and text-to-image generators are changing the fields of painting, sculpture, calligraphy, dan…

EmboMatrix: A Scalable Training-Ground for Embodied Decision-Making
Zixing Lei, Sheng Yin, Yichen Xiong, Yuanzhuo Ding, Wenhao Huang, Yuxi Wei, Qingyao Xu, Yiming Li, Weixin Li, Yunhong Wang, Siheng Chen
https://arxiv.org/abs/2510.12072

EmboMatrix: A Scalable Training-Ground for Embodied Decision-Making
Embodied decision-making enables agents to translate high-level goals into executable actions through continuous interactions within the physical world, forming a cornerstone of general-purpose embodied intelligence. Large language models (LLMs), with their general decision-making capabilities, offer a promising path to realize this potential; however, LLMs trained solely on language lack exposure to physical environments, limiting their true embodied understanding. To bridge this gap, we propo…

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…

Processing of synthetic data in AI development for healthcare and the definition of personal data in EU law
Vibeke Binz Vallevik, Anne Kjersti C. Befring, Severin Elvatun, Jan Franz Nygaard
https://arxiv.org/abs/2508.08353

Processing of synthetic data in AI development for healthcare and the definition of personal data in EU law
Artificial intelligence (AI) has the potential to transform healthcare, but it requires access to health data. Synthetic data that is generated through machine learning models trained on real data, offers a way to share data while preserving privacy. However, uncertainties in the practical application of the General Data Protection Regulation (GDPR) create an administrative burden, limiting the benefits of synthetic data. Through a systematic analysis of relevant legal sources and an empirical …

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

AI’s Growth Leaves Financial Regulators Struggling to Catch Up
Regulators are still at an “early stage” in their efforts to track the risks posed to the financial system by the rapid adoption of artificial intelligence, global financial watchdogs warned on Friday.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/7]:
- A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Lea...
Yadav, Raffel, Muqeeth, Caccia, Liu, Chen, Bansal, Choshen, Sordoni

Source: Meta has acquired WaveForms AI, which is working on AI that understands and mimics emotion in audio and debuted in December with a $40M seed led by a16z (Kalley Huang/The Information)
https://www.theinformation.com/articles/meta-acquires-ai-audio-star…

Meta Acquires AI Audio Startup WaveForms
Meta Platforms has acquired WaveForms AI, a small startup working on artificial intelligence capable of understanding emotion and mimicking it in audio form, according to a person with direct knowledge. The acquisition comes as Meta continues to overhaul its efforts in AI, after stumbles earlier ...

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/4]:
- Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Paten...
Bhakti Khera, Rezvan Alamian, Pascal A. Scherz, Stephan M. Goetz

Dolby launches Dolby Vision 2, adding AI-powered Content Intelligence and Authentic Motion, first on Hisense TVs, over 10 years after launching Dolby Vision (Emma Roth/The Verge)
https://www.theverge.com/news/768842/dolby-vision-2-launch-content-i…

Dolby Vision 2 goes beyond HDR with more AI and ‘authentic motion’ smoothing
Dolby has announced Dolby Vision 2, which offers new “Content Intelligence” to optimize your TV based on what you’re watching and where you’re watching it.

An analysis of Lightcast, Foote Partners, and PwC studies on job salaries: AI-skilled workers command 19% to 56% higher pay, reflecting "task-based hiring" (Riley Gutiérrez McDermid/Gizmodo)
https://gizmodo.com/heres-how-much-more-ai-skilled-workers-make-…

Here's How Much More AI-Skilled Workers Make
We looked at three different studies to see just how much more artificial intelligence skills will pay.

Anti-Money Laundering Machine Learning Pipelines; A Technical Analysis on Identifying High-risk Bank Clients with Supervised Learning
Khashayar Namdar, Pin-Chien Wang, Tushar Raju, Steven Zheng, Fiona Li, Safwat Tahmin Khan
https://arxiv.org/abs/2509.09127

Anti-Money Laundering Machine Learning Pipelines; A Technical Analysis on Identifying High-risk Bank Clients with Supervised Learning
Anti-money laundering (AML) actions and measurements are among the priorities of financial institutions, for which machine learning (ML) has shown to have a high potential. In this paper, we propose a comprehensive and systematic approach for developing ML pipelines to identify high-risk bank clients in a dataset curated for Task 1 of the University of Toronto 2023-2024 Institute for Management and Innovation (IMI) Big Data and Artificial Intelligence Competition. The dataset included 195,789 c…

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.

OpenAI COO Brad Lightcap: GPT-5's Capabilities, Why It Matters, and Where AI Goes Next
A conversation about what OpenAI's long-anticipated flagship model tells us about different forms intelligence and AI's trajectory from here.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/5]:
- Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Info...
Fei Chen, Wenchi Zhou

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/4]:
- Explainable AI for Accelerated Microstructure Imaging: A SHAP-Guided Protocol on the Connectome 2...
Uhl, Pavan, Gerold, Chan, Jun, Fujita, Bhatt, Ma, Wang, Lee, Huang, Bilgic, Jelescu