Tootfinder

Visual prostheses in the era of artificial intelligence technology https://www.dovepress.com/visual-prostheses-in-the-era-of-artificial-intelligence-technology-peer-reviewed-fulltext-article-EB "stimulat…

Visual Prostheses in the Era of Artificial Intelligence Technology | EB
the lack of consensus over their efficacy for improving RCPs, highlights a significant knowledge gap that needs to be addressed.

Things I had not expected to see today: Deutsche Bank making a numbers based argument that "AI" is a bubble and won't last https://futurism.com/artificial-intelligence/deutsche-bank-grim-warning-ai-industry

Deutsche Bank Issues Grim Warning for AI Industry
Deutsche Bank is warning that AI spending won't "remain parabolic," or continue to increase exponentially, a dire warning for the future.

Grokipedia hands-on: many articles clone Wikipedia, but deviate significantly on topics conflicting with Elon Musk's worldview; at times, it is overtly racist (The Verge)
https://www.theverge.com/ai-artificial-intelligence/808514/grokipedia-wiki…

Grokipedia is racist, transphobic, and loves Elon Musk
xAI’s version of Wikipedia, Grokipedia, frames the world’s history from Elon Musk’s perspective.

Transparent Semantic Spaces: A Categorical Approach to Explainable Word Embeddings
Ares Fabregat-Hern\'andez (Valencian Research Institute for Artificial Intelligence, Universidad Internacional de Valencia), Javier Palanca (Valencian Research Institute for Artificial Intelligence), Vicent Botti (Valencian Research Institute for Artificial Intelligence, valgrAI)

Transparent Semantic Spaces: A Categorical Approach to Explainable Word Embeddings
The paper introduces a novel framework based on category theory to enhance the explainability of artificial intelligence systems, particularly focusing on word embeddings. Key topics include the construction of categories $ Ł_{T} $ and $ ¶_{T} $, providing schematic representations of the semantics of a text $ T $, and reframing the selection of the element with maximum probability as a categorical notion. Additionally, the monoidal category $ ¶_{T} $ is constructed to visualize various meth…

"Total AI spending has contributed more to the growth of the US economy this year than all of consumer spending combined."
https://futurism.com/artificial-intelligence/deutsche-bank-grim-warning-ai-industry

Deutsche Bank Issues Grim Warning for AI Industry
Deutsche Bank is warning that AI spending won't "remain parabolic," or continue to increase exponentially, a dire warning for the future.

Grokipedia hands-on: many articles clone Wikipedia, but deviate significantly on topics Elon Musk cares about, with inaccuracies on some scientific topics (The Verge)
https://www.theverge.com/ai-artificial-intelligence/808514/grokipedia-wikipedia-co…

Grokipedia is racist, transphobic, and loves Elon Musk
xAI’s version of Wikipedia, Grokipedia, frames the world’s history from Elon Musk’s perspective.

Artificial Intelligence Training in Media: Addressing Technical and Ethical Challenges for Journalists and Media Professionals
Barbara Sarrionandia, Sim\'on Pe\~na-Fern\'andez, Jes\'us \'Angel P\'erez Dasilva, Ainara Larrondo-Ureta
https://arxiv.org/abs/2508.20137

Artificial Intelligence Training in Media: Addressing Technical and Ethical Challenges for Journalists and Media Professionals
The rise of Artificial Intelligence (AI) is presenting both technical and ethical challenges for media organisations, creating an urgent need for professional training. This study explores how media professionals in the Basque Country are equipping themselves to face these challenges. Using a mixed-method approach, it combines a survey of 504 active professionals with in-depth interviews with six innovation leaders from major regional media outlets. The findings reveal that only 14.1% of profes…

The AI_INFN Platform: Artificial Intelligence Development in the Cloud
Lucio Anderlini, Giulio Bianchini, Diego Ciangottini, Stefano Dal Pra, Diego Michelotto, Rosa Petrini, Daniele Spiga
https://arxiv.org/abs/2509.22117

The AI_INFN Platform: Artificial Intelligence Development in the Cloud
Machine Learning (ML) is driving a revolution in the way scientists design, develop, and deploy data-intensive software. However, the adoption of ML presents new challenges for the computing infrastructure, particularly in terms of provisioning and orchestrating access to hardware accelerators for development, testing, and production. The INFN-funded project AI_INFN (Artificial Intelligence at INFN) aims at fostering the adoption of ML techniques within INFN use cases by providing support on mu…

Anthropic says Claude Sonnet 4.5 spent 30 hours running autonomously, writing 11,000 lines of code to build a chat app akin to Slack or Teams (Hayden Field/The Verge)
https://www.theverge.com/ai-artificial-int

Anthropic releases Claude Sonnet 4.5 in latest bid for AI agents and coding supremacy
It can run autonomously for 30 hours straight, per Anthropic.

Is Artificial Intelligence Reshaping the Landscape of the International Academic Community of Geosciences?
Liang Li, Yuntian Li, Wenxin Zhao, Shan Ye, Yun Lu
https://arxiv.org/abs/2508.20117

Is Artificial Intelligence Reshaping the Landscape of the International Academic Community of Geosciences?
Through bibliometric analysis and topic modeling, we find that artificial intelligence (AI) is positively transforming geosciences research, with a notable increase in AI-related scientific output in recent years. We are encouraged to observe that earth scientists from developing countries have gained better visibility in the recent AI for Science (AI4S) paradigm and that AI is also improving the landscape of international collaboration in geoscience-related research.

Artificial Intelligence for CRISPR Guide RNA Design: Explainable Models and Off-Target Safety
Alireza Abbaszadeh, Armita Shahlai
https://arxiv.org/abs/2508.20130 https://…

Artificial Intelligence for CRISPR Guide RNA Design: Explainable Models and Off-Target Safety
CRISPR-based genome editing has revolutionized biotechnology, yet optimizing guide RNA (gRNA) design for efficiency and safety remains a critical challenge. Recent advances (2020--2025, updated to reflect current year if needed) demonstrate that artificial intelligence (AI), especially deep learning, can markedly improve the prediction of gRNA on-target activity and identify off-target risks. In parallel, emerging explainable AI (XAI) techniques are beginning to illuminate the black-box nature …

eXplainable Artificial Intelligence for RL-based Networking Solutions
Yeison Stiven Murcia, Oscar Mauricio Caicedo, Daniela Maria Casas, Nelson Luis Saldanha da Fonseca
https://arxiv.org/abs/2509.21649

eXplainable Artificial Intelligence for RL-based Networking Solutions
Reinforcement Learning (RL) agents have been widely used to improve networking tasks. However, understanding the decisions made by these agents is essential for their broader adoption in networking and network management. To address this, we introduce eXplaNet - a pipeline grounded in explainable artificial intelligence - designed to help networking researchers and practitioners gain deeper insights into the decision-making processes of RL-based solutions. We demonstrate how eXplaNet can be app…

All those "smart" devices are not smart, they're spies... and "Artificial Intelligence" isn't intelligent, it's a liar.

Further signs of the fall of civilization:
Melania Trump launches AI contest for schoolchildren in grades K-12;
National contest aims to encourage kids to work together to address community issues with artificial intelligence
https://www.theguardian.com/us-news/202…

A Computational Perspective on NeuroAI and Synthetic Biological Intelligence
Dhruvik Patel, Md Sayed Tanveer, Jesus Gonzalez-Ferrer, Alon Loeffler, Brett J. Kagan, Mohammed A. Mostajo-Radji, Ge Wang
https://arxiv.org/abs/2509.23896

A Computational Perspective on NeuroAI and Synthetic Biological Intelligence
NeuroAI is an emerging field at the intersection of neuroscience and artificial intelligence, where insights from brain function guide the design of intelligent systems. A central area within this field is synthetic biological intelligence (SBI), which combines the adaptive learning properties of biological neural networks with engineered hardware and software. SBI systems provide a platform for modeling neural computation, developing biohybrid architectures, and enabling new forms of embodied …

Leveraging generative artificial intelligence for simulation-based physics experiments: A new approach to virtual learning about the real world
Yossi Ben-Zion, Turhan K. Carroll, Colin G. West, Jesse Wong, Noah D. Finkelstein
https://arxiv.org/abs/2509.22929

Leveraging generative artificial intelligence for simulation-based physics experiments: A new approach to virtual learning about the real world
This study investigates the impact of a novel application of generative artificial intelligence (AI) in physics instruction: engaging students in prompting, refining, and validating AI-constructed simulations of physical phenomena. In a second-semester physics course for life science majors, we conducted a comparative study of three instructional approaches in a laboratory focused on electric potentials: (i) students using physical equipment, (ii) students using a prebuilt simulator, and (iii) …

How The Minnesota Star Tribune bolstered its shoe-leather reporting by using ChatGPT to analyze handwritten Faux Cyrillic journal entries of a mass shooter (Tom Scheck/Poynter)
https://www.poynter.org/reporting-editing/2025/minnesota-star-tribun…

How the Minnesota Star Tribune used AI to bolster its shoe-leather reporting to background a mass shooter - Poynter
A team of journalists relentlessly tracked the shooter’s digital and paper trail. But AI provided deeper insight into her thoughts before the shooting.

Making a Case for Research Collaboration Between Artificial Intelligence and Operations Research Experts
Radhika Kulkarni, Gianluca Brero, Yu Ding, Swati Gupta, Sven Koenig, Ramayya Krishnan, Thiago Serra, Phebe Vayanos, Segev Wasserkrug, Holly Wiberg
https://arxiv.org/abs/2507.21076

Making a Case for Research Collaboration Between Artificial Intelligence and Operations Research Experts
In 2021, INFORMS, ACM SIGAI, and the Computing Community Consortium (CCC) hosted three workshops to explore synergies between Artificial Intelligence (AI) and Operations Research (OR) to improve decision-making. The workshops aimed to create a unified research vision for AI/OR collaboration, focusing on overcoming cultural differences and maximizing societal impact. The first two workshops addressed technological innovations, applications, and trustworthy AI development, while the final worksho…

👾 Large language models can execute complete ransomware attacks autonomously, research shows
https://techxplore.com/news/2025-09-large-language-ransomware-autonomously.html

Large language models can execute complete ransomware attacks autonomously, research shows
Criminals can use artificial intelligence, specifically large language models, to autonomously carry out ransomware attacks that steal personal files and demand payment, handling every step from breaking into computer systems to writing threatening messages to victims, according to new research from NYU Tandon School of Engineering posted to the arXiv preprint server.

A Global Analysis of Cyber Threats to the Energy Sector: "Currents of Conflict" from a Geopolitical Perspective
Gustavo S\'anchez, Ghada Elbez, Veit Hagenmeyer
https://arxiv.org/abs/2509.22280

A Global Analysis of Cyber Threats to the Energy Sector: "Currents of Conflict" from a Geopolitical Perspective
The escalating frequency and sophistication of cyber threats increased the need for their comprehensive understanding. This paper explores the intersection of geopolitical dynamics, cyber threat intelligence analysis, and advanced detection technologies, with a focus on the energy domain. We leverage generative artificial intelligence to extract and structure information from raw cyber threat descriptions, enabling enhanced analysis. By conducting a geopolitical comparison of threat actor origi…

Excited to join the Instructional Design AI special interest group in a fast-paced “Lightning Round” session Thursday 3pm EDT, where I'll show how to get students thinking about AI's environmental footprint by comparing its impacts to other activities https://osu.zoom.us/meeting/register/X

"And quite an adventure the life of Margittai Neumann Janos Lajos was. A child prodigy, he published his first paper in mathematics before age 20. He was the indisputable champion of applied mathematics in the 20th century. His work yielded groundbreaking advances in theoretical mathematics, quantum mechanics, game theory, economics, fluid dynamics, artificial intelligence, electrodynamics, meteorology, and computing."

William Aspray
There was a moment in which Kurt Gödel, Albert Einstein, and John von Neumann were all roaming the halls of the Institute for Advanced Studies in Princeton at the same time. Let that information sink in. Humanity experiences such gatherings of brilliant minds in a remote location of the space-time continuum only every so often; maybe the ancient Greeks and the men of the Renaissance witnessed such periods in time, as did the IAS staff at the end of World War II. How much will we have to wait f…

Who would have guessed.
Big Tech is paying millions to train teachers on AI, in a push to bring chatbots into classrooms
https://apnews.com/article/artificial-intelligence-teacher-union-microsoft-f7554b6550fb90519dd8129acac8e2…

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation
Raju Ningappa Mulawade, Christoph Garth, Alexander Wiebel
https://arxiv.org/abs/2507.22020 https://…

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation
We propose a novel segmentation-based explainable artificial intelligence (XAI) method for neural networks working on point cloud classification. As one building block of this method, we propose a novel point-shifting mechanism to introduce perturbations in point cloud data. Recently, AI has seen an exponential growth. Hence, it is important to understand the decision-making process of AI algorithms when they are applied in critical areas. Our work focuses on explaining AI algorithms that class…

Rethinking Transformer Connectivity: TLinFormer, A Path to Exact, Full Context-Aware Linear Attention
Zhongpan Tang
https://arxiv.org/abs/2508.20407 https://

Rethinking Transformer Connectivity: TLinFormer, A Path to Exact, Full Context-Aware Linear Attention
The Transformer architecture has become a cornerstone of modern artificial intelligence, but its core self-attention mechanism suffers from a complexity bottleneck that scales quadratically with sequence length, severely limiting its application in long-sequence tasks. To address this challenge, existing linear attention methods typically sacrifice model performance by relying on data-agnostic kernel approximations or restrictive context selection. This paper returns to the first principles of …

Training language models to be warm and empathetic makes them less reliable and more sycophantic
Lujain Ibrahim, Franziska Sofia Hafner, Luc Rocher
https://arxiv.org/abs/2507.21919

Training language models to be warm and empathetic makes them less reliable and more sycophantic
Artificial intelligence (AI) developers are increasingly building language models with warm and empathetic personas that millions of people now use for advice, therapy, and companionship. Here, we show how this creates a significant trade-off: optimizing language models for warmth undermines their reliability, especially when users express vulnerability. We conducted controlled experiments on five language models of varying sizes and architectures, training them to produce warmer, more empathet…

Encoding Tactile Stimuli for Organoid Intelligence in Braille Recognition
Tianyi Liu (School of Engineering Mathematics and Technology, University of Bristol, United Kingdom), Hemma Philamore (School of Engineering Mathematics and Technology, University of Bristol, United Kingdom), Benjamin Ward-Cherrier (School of Engineering Mathematics and Technology, University of Bristol, United Kingdom)

Encoding Tactile Stimuli for Organoid Intelligence in Braille Recognition
This study proposes a generalizable encoding strategy that maps tactile sensor data to electrical stimulation patterns, enabling neural organoids to perform an open-loop artificial tactile Braille classification task. Human forebrain organoids cultured on a low-density microelectrode array (MEA) are systematically stimulated to characterize the relationship between electrical stimulation parameters (number of pulse, phase amplitude, phase duration, and trigger delay) and organoid responses, mea…

Anthropic's Threat Intelligence report for August says Claude was weaponized for sophisticated cybercrimes, including a "vibe-hacking" data extortion scheme (Hayden Field/The Verge)
https://www.theverge.com/ai-artificial-int

‘Vibe-hacking’ is now a top AI threat
Anthropic’s new Threat Intelligence report, out today, details the wide range of cases in which Claude — and likely many other leading AI agents and chatbots — are being abused.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/5]:
- Machine Learning Risk Intelligence for Green Hydrogen Investment: Insights for Duqm R3 Auction
Obumneme Nwafor, Mohammed Abdul Majeed Al Hooti

Ah, good thing Ireland didn’t bet a major chunk of its economy on US Big Tech creating jobs or anything.
*phew!*
#BigTech #USA #AI

Supervised Quantum Image Processing
Marco Parigi, Mehran Khosrojerdi, Filippo Caruso, Leonardo Banchi
https://arxiv.org/abs/2507.22039 https://arxiv.org/pd…

Supervised Quantum Image Processing
In the era of big data and artificial intelligence, the increasing volume of data and the demand to solve more and more complex computational challenges are two driving forces for improving the efficiency of data storage, processing and analysis. Quantum image processing (QIP) is an interdisciplinary field between quantum information science and image processing, which has the potential to alleviate some of these challenges by leveraging the power of quantum computing. In this work, we compare …

A Theory of Information, Variation, and Artificial Intelligence
Bijean Ghafouri
https://arxiv.org/abs/2508.19264 https://arxiv.org/pdf/2508.19264

A Theory of Information, Variation, and Artificial Intelligence
A growing body of empirical work suggests that the widespread adoption of generative AI produces a significant homogenizing effect on information, creativity, and cultural production. I first develop a novel theoretical framework to explain this phenomenon. I argue that a dynamic of AI-derivative epistemology, in which individuals increasingly defer to AI outputs, allows a centralized AI Prism to function, a technical mechanism whose architecture is designed to reduce variance and converge on t…

Prediction of Distant Metastasis for Head and Neck Cancer Patients Using Multi-Modal Tumor and Peritumoral Feature Fusion Network
Zizhao Tang (School of Artificial Intelligence, Xidian University), Changhao Liu (Department of Radiotherapy, Xijing Hospital, Air Force Medical University of PLA), Nuo Tong (School of Artificial Intelligence, Xidian University), Shuiping Gou (School of Artificial Intelligence, Xidian University), Mei Shi (Department of Radiotherapy, Xijing Hospital, Air For…

Prediction of Distant Metastasis for Head and Neck Cancer Patients Using Multi-Modal Tumor and Peritumoral Feature Fusion Network
Metastasis remains the major challenge in the clinical management of head and neck squamous cell carcinoma (HNSCC). Reliable pre-treatment prediction of metastatic risk is crucial for optimizing treatment strategies and prognosis. This study develops a deep learning-based multimodal framework to predict metastasis risk in HNSCC patients by integrating computed tomography (CT) images, radiomics, and clinical data. 1497 HNSCC patients were included. Tumor and organ masks were derived from pretrea…

Hybrid Diffusion for Simultaneous Symbolic and Continuous Planning
Sigmund Hennum H{\o}eg, Aksel Vaaler, Chaoqi Liu, Olav Egeland, Yilun Du
https://arxiv.org/abs/2509.21983 http…

Hybrid Diffusion for Simultaneous Symbolic and Continuous Planning
Constructing robots to accomplish long-horizon tasks is a long-standing challenge within artificial intelligence. Approaches using generative methods, particularly Diffusion Models, have gained attention due to their ability to model continuous robotic trajectories for planning and control. However, we show that these models struggle with long-horizon tasks that involve complex decision-making and, in general, are prone to confusing different modes of behavior, leading to failure. To remedy thi…

Malaysia's AI-Driven Education Landscape: Policies, Applications, and Comparative Insights for a Digital Future
Fadhilah Jamaluddin, Ahmad Hakiim Jamaluddin, Faridzah Jamaluddin, Faathirah Jamaluddin
https://arxiv.org/abs/2509.21858

Malaysia's AI-Driven Education Landscape: Policies, Applications, and Comparative Insights for a Digital Future
Artificial Intelligence (AI) is transforming education globally, and Malaysia is leveraging this potential through strategic policies to enhance learning and prepare students for a digital future. This article explores Malaysia's AI-driven education landscape, emphasising the National Artificial Intelligence Roadmap 2021-2025 and the Digital Education Policy. Employing a policy-driven analysis, it maps AI applications in pedagogy, curriculum design, administration, and teacher training across p…

On the Generalisation of Koopman Representations for Chaotic System Control
Kyriakos Hjikakou (University of Groningen, Department of Artificial Intelligence, Groningen, Netherlands), Juan Diego Cardenas Cartagena (University of Groningen, Department of Artificial Intelligence, Groningen, Netherlands), Matthia Sabatelli (University of Groningen, Department of Artificial Intelligence, Groningen, Netherlands)

On the Generalisation of Koopman Representations for Chaotic System Control
This paper investigates the generalisability of Koopman-based representations for chaotic dynamical systems, focusing on their transferability across prediction and control tasks. Using the Lorenz system as a testbed, we propose a three-stage methodology: learning Koopman embeddings through autoencoding, pre-training a transformer on next-state prediction, and fine-tuning for safety-critical control. Our results show that Koopman embeddings outperform both standard and physics-informed PCA base…

Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks
Muhammad Ahmed Mohsin, Junaid Ahmad, Muhammad Hamza Nawaz, Muhammad Ali Jamshed
https://arxiv.org/abs/2508.19495

Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks
Ambient intelligence (AmI) is a computing paradigm in which physical environments are embedded with sensing, computation, and communication so they can perceive people and context, decide appropriate actions, and respond autonomously. Realizing AmI at global scale requires sixth generation (6G) wireless networks with capabilities for real time perception, reasoning, and action aligned with human behavior and mobility patterns. We argue that Generative Artificial Intelligence (GenAI) is the crea…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[12/12]:
- See, Point, Fly: A Learning-Free VLM Framework for Universal Unmanned Aerial Navigation
Hu, Lin, Lee, Su, Lee, Tsai, Lin, Chen, Ke, Liu

Sources: Pinecone, which provides an AI-compatible vector database, is exploring a sale after receiving takeover interest; Pinecone was valued at $750M in 2023 (The Information)
https://www.theinformation.com/articles/top-funded-ai-database-star…

Top-Funded AI Database Startup Pinecone Considers a Sale
When the artificial intelligence boom began a few years ago, investors flocked to startups that helped businesses transform and store proprietary data in a format AI could understand, known as a vector database. The technology allowed businesses to use a customized AI chatbot to search or ...

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review
Mengyu Sun, Ziyuan Yang, Yongqiang Huang, Hui Yu, Yingyu Chen, Shuren Qi, Andrew Beng Jin Teoh, Yi Zhang
https://arxiv.org/abs/2508.20414

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review
Artificial intelligence (AI) has demonstrated considerable potential in the realm of medical imaging. However, the development of high-performance AI models typically necessitates training on large-scale, centralized datasets. This approach is confronted with significant challenges due to strict patient privacy regulations and legal restrictions on data sharing and utilization. These limitations hinder the development of large-scale models in medical domains and impede continuous updates and tr…

Hybrid Layer-Wise ANN-SNN With Surrogate Spike Encoding-Decoding Structure
Nhan T. Luu, Duong T. Luu, Pham Ngoc Nam, Truong Cong Thang
https://arxiv.org/abs/2509.24411 https://

Hybrid Layer-Wise ANN-SNN With Surrogate Spike Encoding-Decoding Structure
Spiking Neural Networks (SNNs) have gained significant traction in both computational neuroscience and artificial intelligence for their potential in energy-efficient computing. In contrast, artificial neural networks (ANNs) excel at gradient-based optimization and high accuracy. This contrast has consequently led to a growing subfield of hybrid ANN-SNN research. However, existing hybrid approaches often rely on either a strict separation between ANN and SNN components or employ SNN-only encode…

Accelerating the drive towards energy-efficient generative AI with quantum computing algorithms
Frederik F. Fl\"other, Jan Mikolon, Maria Longobardi
https://arxiv.org/abs/2508.20720

Accelerating the drive towards energy-efficient generative AI with quantum computing algorithms
Research and usage of artificial intelligence, particularly generative and large language models, have rapidly progressed over the last years. This has, however, given rise to issues due to high energy consumption. While quantum computing is not (yet) mainstream, its intersection with machine learning is especially promising, and the technology could alleviate some of these energy challenges. In this perspective article, we break down the lifecycle stages of large language models and discuss re…

Position: Human Factors Reshape Adversarial Analysis in Human-AI Decision-Making Systems
Shutong Fan, Lan Zhang, Xiaoyong Yuan
https://arxiv.org/abs/2509.21436 https://

Position: Human Factors Reshape Adversarial Analysis in Human-AI Decision-Making Systems
As Artificial Intelligence (AI) increasingly supports human decision-making, its vulnerability to adversarial attacks grows. However, the existing adversarial analysis predominantly focuses on fully autonomous AI systems, where decisions are executed without human intervention. This narrow focus overlooks the complexities of human-AI collaboration, where humans interpret, adjust, and act upon AI-generated decisions. Trust, expectations, and cognitive behaviors influence how humans interact with…

Sources: DeepSeek plans to use Huawei's Ascend AI chips to train smaller versions of its upcoming R2 models but will still use Nvidia chips for largest models (The Information)
https://www.theinformation.com/articles/deepseek-opts-huawei-chips-train-models…

DeepSeek Opts for Huawei Chips to Train Some Models
DeepSeek, one of China’s leading artificial intelligence developers, has decided to use Huawei Technologies’ AI chips to train some of its AI models, a sign it is reducing its reliance on Nvidia chips, according to three people with knowledge of the effort. The move follows pressure by the ...

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[11/12]:
- Retrieval-Augmented Guardrails for AI-Drafted Patient-Portal Messages: Error Taxonomy Constructio...
Chen, Haredasht, Black, Grolleau, Alsentzer, Chen, P.

Deep Hype in Artificial General Intelligence: Uncertainty, Sociotechnical Fictions and the Governance of AI Futures
Andreu Belsunces Gon\c{c}alves
https://arxiv.org/abs/2508.19749

Deep Hype in Artificial General Intelligence: Uncertainty, Sociotechnical Fictions and the Governance of AI Futures
Artificial General Intelligence (AGI) is promoted by technology leaders and investors as a system capable of performing all human intellectual tasks, and potentially surpassing them. Despite its vague definition and uncertain feasibility, AGI has attracted major investment and political attention, fuelled by promises of civilisational transformation. This paper conceptualises AGI as sustained by deep hype: a long-term, overpromissory dynamic articulated through sociotechnical fictions that rend…

Since 2019, Brazil's courts have developed or implemented over 140 AI projects that have helped make the country's overburdened judicial system more efficient (Pedro Nakamura/Rest of World)
https://restofworld.org/2025/brazil-ai-courts-lawsuits/

AI is helping judges to quickly close cases, and lawyers to quickly open them
Brazil’s overburdened courts and lawyers are adopting artificial intelligence. But experts wonder whether it serves justice.

As the lyricist behind AI artist Xania Monet signs a $3M record deal, experts say current copyright law may only protect the human-made expressive elements (Elissa Welle/The Verge)
https://www.theverge.com/ai-artificial-intelligence/785792/…

What happens when an AI-generated artist gets a record deal? A copyright mess
The only human-made element behind Xania Monet’s act appear to be the lyrics.

Functional Encryption in Secure Neural Network Training: Data Leakage and Practical Mitigations
Alexandru Ioni\c{t}\u{a}, Andreea Ioni\c{t}\u{a}
https://arxiv.org/abs/2509.21497

Functional Encryption in Secure Neural Network Training: Data Leakage and Practical Mitigations
With the increased interest in artificial intelligence, Machine Learning as a Service provides the infrastructure in the Cloud for easy training, testing, and deploying models. However, these systems have a major privacy issue: uploading sensitive data to the Cloud, especially during training. Therefore, achieving secure Neural Network training has been on many researchers' minds lately. More and more solutions for this problem are built around a main pillar: Functional Encryption (FE). Althoug…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[10/12]:
- Partial Parameter Updates for Efficient Distributed Training
Anastasiia Filippova, Angelos Katharopoulos, David Grangier, Ronan Collobert

Several US states have passed bills to ban or restrict AI mental health treatment, as experts say state laws lag behind the fast-moving AI therapy landscape (Devi Shastri/Associated Press)
https://apnews.com/article/ai-therapy-ban-illinois-therabo…

States struggle with AI therapy app rules amid mental health needs
As mental health chatbots driven by artificial intelligence proliferate, a small number of states are trying to regulate them. Laws in Illinois, Nevada and Utah are among the first in the nation to put limits on or ban therapy chatbots. But app creators, policymakers and mental health advocates say it is just a start and federal regulation would be ideal. App makers worry the patchwork of laws could stifle innovation needed due to a nationwide shortage of human therapists. They also note that m…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[9/12]:
- Bridging Fairness and Explainability: Can Input-Based Explanations Promote Fairness in Hate Speec...
Yifan Wang, Mayank Jobanputra, Ji-Ung Lee, Soyoung Oh, Isabel Valera, Vera Demberg

Sources: Meta Superintelligence Labs' leaders have discussed using Google or OpenAI's models to power Meta AI and other AI features in Meta's social media apps (The Information)
https://www.theinformation.com/articles/metas-ai-lead…

Meta’s AI Leaders Discuss Using Google, OpenAI Models in Apps
Meta Platforms’ plans to improve the artificial intelligence features in its apps could lead the company to partner with Google or OpenAI, two of its biggest AI rivals. Leaders in Meta’s new AI organization, Meta Superintelligence Labs, have discussed using Google’s Gemini model to provide ...

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[8/12]:
- MimicDreamer: Aligning Human and Robot Demonstrations for Scalable VLA Training
Li, Zhang, Ouyang, Wang, Zhu, Yang, Zhang, Wang, Ni, Qin, Chen, Ye, Huang, Song, Wang

Sources: Cohere has told investors it expects to generate $200M in annualized revenue by the end of 2025, up from $70M in annualized revenue as of February (The Information)
https://www.theinformation.com/articles/ai-startup-cohe…

AI Startup Cohere Projects $200 Million Revenue Pace as New Funding Nears
Cohere, a Canadian artificial intelligence developer that competes with Anthropic and OpenAI, has sustained one of the richest valuations in the industry as a multiple of the relatively modest revenue it generates. Now it’s told investors that sales are picking up—enough to entice existing ...

Periodic Labs, co-founded by ChatGPT co-creator Liam Fedus, poaches 20 researchers from Meta, OpenAI, DeepMind, and others to use AI for scientific discoveries (Cade Metz/New York Times)
https://www.nytimes.com/2025/09/30/technology/ai-meta-google-openai-pe…

Top A.I. Researchers Leave OpenAI, Google and Meta for New Start-Up
Founded by a co-creator of ChatGPT, Periodic Labs aims to build artificial intelligence that can accelerate discoveries in physics, chemistry and other fields.

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[7/12]:
- Decoding Deception: Understanding Automatic Speech Recognition Vulnerabilities in Evasion and Poi...
Aravindhan G, Yuvaraj Govindarajulu, Parin Shah

FriendliAI, which aims to help companies run AI model inference faster and cheaper, raised a $20M extension to its $6M seed fund from late 2021 (Mary Ann Azevedo/Crunchbase News)
https://news.crunchbase.com/ai/inference-platform-friendliai-raises-seed…

Exclusive: FriendliAI Raises $20M Seed Extension To Grow AI Inference Platform
FriendliAI, an AI inference platform startup that provides “last mile” artificial intelligence engagement, has raised $20 million in a seed extension round, the company told Crunchbase News in this exclusive.

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/12]:
- Generation Properties of Stochastic Interpolation under Finite Training Set
Yunchen Li, Shaohui Lin, Zhou Yu

Memo: California's AG says OpenAI's restructuring has "no impact" on other cases, likely referring to Elon Musk's lawsuit against OpenAI over its restructuring (Rocket Drew/The Information)
https://www.theinformation.com/briefings/m…

Musk Suit Unlikely to Unwind OpenAI Restructure
A memo from California’s attorney general suggested that Elon Musk’s federal lawsuit against OpenAI will be unaffected by the artificial intelligence startup’s restructuring. But now that the restructuring has occurred, it may be hard to unwind the change even if Musk wins. Both the attorneys general for Delaware, where OpenAI is incorporated, and California, where it is headquartered, had

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/12]:
- Backdoor Attribution: Elucidating and Controlling Backdoor in Language Models
Yu, Zhou, Aloqaily, Wang, Huang, Wang, Jin, Wen

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/12]:
- Guiding Audio Editing with Audio Language Model
Zitong Lan, Yiduo Hao, Mingmin Zhao

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/12]:
- Are Hallucinations Bad Estimations?
Hude Liu, Jerry Yao-Chieh Hu, Jennifer Yuntong Zhang, Zhao Song, Han Liu

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/12]:
- Safety Assessment of Scaffolding on Construction Site using AI
Sameer Prabhu, Amit Patwardhan, Ramin Karim

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/12]:
- From Search to Reasoning: A Five-Level RAG Capability Framework for Enterprise Data
Gurbinder Gill, Ritvik Gupta, Denis Lusson, Anand Chandrashekar, Donald Nguyen

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[9/9]:
- Positional Encoding via Token-Aware Phase Attention
Yu Wang, Sheng Shen, R\'emi Munos, Hongyuan Zhan, Yuandong Tian

As the lyricist behind AI artist Xania Monet signs a $3M record deal, experts say current copyright law may only protect the human-made expressive elements (Elissa Welle/The Verge)
https://www.theverge.com/ai-artificial-intelligence/785792/…

What happens when an AI-generated artist gets a record deal? A copyright mess
The only human-made element behind Xania Monet’s act appear to be the lyrics.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[8/9]:
- Generative Logic: A New Computer Architecture for Deterministic Reasoning and Knowledge Generation
Nikolai Sergeev

OpenAI launches ChatGPT Pulse, a mobile feature for Pro users that delivers daily personalized updates based on their chats, feedback, and connected apps (Hayden Field/The Verge)
https://www.theverge.com/ai-artificial-int

OpenAI really, really wants you to start your day with ChatGPT Pulse
ChatGPT’s new Pulse feature does personalized research on your behalf overnight and serves you up a digest each morning.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[7/9]:
- Exploiting Block Coordinate Descent for Cost-Effective LLM Model Training
Liu, Li, Zhang, Zhang, Jiang, Zhang, Xiao, Zhang, Cheng

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/9]:
- Prompting is not Enough: Exploring Knowledge Integration and Controllable Generation on Large Lan...
Tingjia Shen, Hao Wang, Chuan Qin, Ruijun Sun, Yang Song, Defu Lian, Hengshu Zhu, Enhong Chen

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/9]:
- Structured Relational Representations
Arun Kumar, Paul Schrater
https://

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/9]:
- Ethical AI for Young Digital Citizens: A Call to Action on Privacy Governance
Austin Shouli, Ankur Barthwal, Molly Campbell, Ajay Kumar Shrestha

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/9]:
- Diffusion Curriculum: Synthetic-to-Real Data Curriculum via Image-Guided Diffusion
Yijun Liang, Shweta Bhardwaj, Tianyi Zhou

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/9]:
- SEDM: Scalable Self-Evolving Distributed Memory for Agents
Haoran Xu, Jiacong Hu, Ke Zhang, Lei Yu, Yuxin Tang, Xinyuan Song, Yiqun Duan, Lynn Ai, Bill Shi

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/9]:
- A critical review of methods and challenges in large language models
Milad Moradi, Ke Yan, David Colwell, Matthias Samwald, Rhona Asgari

At the UN, the US rejected calls for collaborative efforts around AI governance, even as many leaders endorsed a need for urgent international collaboration (Jared Perlo/NBC News)
https://www.nbcnews.com/tech/tech-news/us-rejects-in…

U.S. rejects international AI oversight at U.N. General Assembly
The United States clashed with world leaders over artificial intelligence at the United Nations General Assembly this week.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/4]:
- HPC Digital Twins for Evaluating Scheduling Policies, Incentive Structures and their Impact on Po...
Maiterth, Brewer, Kuruvella, Dey, Islam, Menear, Duplyakin, Kabir, Patki, Jones, Wang

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/4]:
- Dynamic Context Compression for Efficient RAG
Shuyu Guo, Zhaochun Ren
https://

Microsoft says it supports the OpenAI board moving to form a public benefit corporation and recapitalization, and now holds a ~$135B OpenAI Group PBC investment (Microsoft)
https://blogs.microsoft.com/blog/2025/10/28/the-next-chapter-of-the-m…

The next chapter of the Microsoft–OpenAI partnership - The Official Microsoft Blog
Since 2019, Microsoft and OpenAI have shared a vision to advance artificial intelligence responsibly and make its benefits broadly accessible. What began as an investment in a research organization has grown into one of the most successful partnerships in our industry. As we enter the next phase of this partnership, we’ve signed a new definitive...

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/4]:
- Reconsidering the Performance of GAE in Link Prediction
Weishuo Ma, Yanbo Wang, Xiyuan Wang, Muhan Zhang

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/4]:
- OptiMUS-0.3: Using Large Language Models to Model and Solve Optimization Problems at Scale
Ali AhmadiTeshnizi, Wenzhi Gao, Herman Brunborg, Shayan Talaei, Connor Lawless, Madeleine Udell

Sources: data integration company Fivetran is in talks to acquire data management company dbt Labs in a deal valuing the combined entity at between $5B and $10B (The Information)
https://www.theinformation.com/articles/data-startup-fi…

Data Startup Fivetran In Talks to Buy Dbt Labs in Multibillion Dollar Deal
Fivetran, a startup used by companies to manage and prepare data for analytics and artificial intelligence, is in talks to buy data management companydbt Labs, according to people with direct knowledge of the deal. The deal would combine two data companies that are facing competition from ...

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/6]:
- ChainReaction! Structured Approach with Causal Chains as Intermediate Representations for Improve...
Paritosh Parmar, Eric Peh, Basura Fernando

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/6]:
- Turning the Spell Around: Lightweight Alignment Amplification via Rank-One Safety Injection
Harethah Abu Shairah, Hasan Abed Al Kader Hammoud, George Turkiyyah, Bernard Ghanem

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/6]:
- Towards Mechanistic Defenses Against Typographic Attacks in CLIP
Lorenz Hufe, Constantin Venhoff, Maximilian Dreyer, Sebastian Lapuschkin, Wojciech Samek

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/6]:
- Assessing local deformation and computing scalar curvature with nonlinear conformal regularizatio...
Benjamin Cou\'eraud, Vikram Sunkara, Christof Sch\"utte

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/6]:
- The Mathematician's Assistant: Integrating AI into Research Practice
Jonas Henkel

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/6]:
- Can LLMs Identify Tax Abuse?
Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/5]:
- Generating Heterogeneous Multi-dimensional Data : A Comparative Study
Michael Corbeau, Emmanuelle Claeys, Mathieu Serrurier, Pascale Zarat\'e

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/5]:
- Low-Confidence Gold: Refining Low-Confidence Samples for Efficient Instruction Tuning
Hongyi Cai, Jie Li, Mohammad Mahdinur Rahman, Wenzhen Dong

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/5]:
- Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs
Sheshadri, Ewart, Guo, Lynch, Wu, Hebbar, Sleight, Stickland, Perez, Hadfield-Menell, Casper

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/5]:
- A finite time analysis of distributed Q-learning
Han-Dong Lim, Donghwan Lee
https:/…

Playstyle and Artificial Intelligence: An Initial Blueprint Through the Lens of Video Games
Chiu-Chou Lin
https://arxiv.org/abs/2508.19152 https://arxiv.or…

Playstyle and Artificial Intelligence: An Initial Blueprint Through the Lens of Video Games
Contemporary artificial intelligence (AI) development largely centers on rational decision-making, valued for its measurability and suitability for objective evaluation. Yet in real-world contexts, an intelligent agent's decisions are shaped not only by logic but also by deeper influences such as beliefs, values, and preferences. The diversity of human decision-making styles emerges from these differences, highlighting that "style" is an essential but often overlooked dimension of intelligence.…

[2025-08-29 Fri (UTC), 24 new articles found for cs.AI Artificial Intelligence]
toXiv_bot_toot

Novel Approaches to Artificial Intelligence Development Based on the Nearest Neighbor Method
I. I. Priezzhev, D. A. Danko, A. V. Shubin
https://arxiv.org/abs/2508.18953 https://…

Novel Approaches to Artificial Intelligence Development Based on the Nearest Neighbor Method
Modern neural network technologies, including large language models, have achieved remarkable success in various applied artificial intelligence applications, however, they face a range of fundamental limitations. Among them are hallucination effects, high computational complexity of training and inference, costly fine-tuning, and catastrophic forgetting issues. These limitations significantly hinder the use of neural networks in critical areas such as medicine, industrial process management, a…

Ground-Truthing AI Energy Consumption: Validating CodeCarbon Against External Measurements
Raphael Fischer
https://arxiv.org/abs/2509.22092 https://arxiv.o…

Ground-Truthing AI Energy Consumption: Validating CodeCarbon Against External Measurements
Although machine learning (ML) and artificial intelligence (AI) present fascinating opportunities for innovation, their rapid development is also significantly impacting our environment. In response to growing resource-awareness in the field, quantification tools such as the ML Emissions Calculator and CodeCarbon were developed to estimate the energy consumption and carbon emissions of running AI models. They are easy to incorporate into AI projects, however also make pragmatic assumptions and …

Bridging Minds and Machines: Toward an Integration of AI and Cognitive Science
Rui Mao, Qian Liu, Xiao Li, Erik Cambria, Amir Hussain
https://arxiv.org/abs/2508.20674 https://…

Bridging Minds and Machines: Toward an Integration of AI and Cognitive Science
Cognitive Science has profoundly shaped disciplines such as Artificial Intelligence (AI), Philosophy, Psychology, Neuroscience, Linguistics, and Culture. Many breakthroughs in AI trace their roots to cognitive theories, while AI itself has become an indispensable tool for advancing cognitive research. This reciprocal relationship motivates a comprehensive review of the intersections between AI and Cognitive Science. By synthesizing key contributions from both perspectives, we observe that AI pr…

AI-AI Esthetic Collaboration with Explicit Semiotic Awareness and Emergent Grammar Development
Nicanor I. Moldovan
https://arxiv.org/abs/2508.20195 https://

AI-AI Esthetic Collaboration with Explicit Semiotic Awareness and Emergent Grammar Development
This paper presents the first documented case of artificial intelligence (AI) systems engaging in collaborative esthetic creation through the development of endogenous semiotic protocols. Two interacting large language models (Claude Sonnet 4 and ChatGPT-4o) demonstrated the spontaneous emergence of meta-semiotic awareness, recursive grammar development, and irreducible collaborative esthetic synthesis. The interaction produced novel symbolic operators that functioned as operative grammar proto…

Re4: Scientific Computing Agent with Rewriting, Resolution, Review and Revision
Ao Cheng, Lei Zhang, Guowei He
https://arxiv.org/abs/2508.20729 https://arx…

Re4: Scientific Computing Agent with Rewriting, Resolution, Review and Revision
Large language models (LLMs) serve as an active and promising field of generative artificial intelligence and have demonstrated abilities to perform complex tasks in multiple domains, including mathematical and scientific reasoning. In this work, we construct a novel agent framework for solving representative problems in scientific computing. The proposed agent, incorporating a "rewriting-resolution-review-revision" logical chain via three reasoning LLMs (functioning as the Consultant, Reviewer…