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.

How performers on OnlyFans and other adult sites are using LLMs for creative inspiration, amid a rise of adult-specific LLMs like sex worker chatbot GPTease (Lux Alptraum/The Verge)
https://www.theverge.com/ai-artificial-intelligence/692286/ai-bots-…

LLMs are optimizing the adult industry
Large language models are helping OnlyFans creators run single-person production studios.

Explainability Through Systematicity: The Hard Systematicity Challenge for Artificial Intelligence
Matthieu Queloz
https://arxiv.org/abs/2507.22197 https://

Explainability Through Systematicity: The Hard Systematicity Challenge for Artificial Intelligence
This paper argues that explainability is only one facet of a broader ideal that shapes our expectations towards artificial intelligence (AI). Fundamentally, the issue is to what extent AI exhibits systematicity--not merely in being sensitive to how thoughts are composed of recombinable constituents, but in striving towards an integrated body of thought that is consistent, coherent, comprehensive, and parsimoniously principled. This richer conception of systematicity has been obscured by the lon…

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage
Tanzim Mahfuz, Sudipta Paria, Tasneem Suha, Swarup Bhunia, Prabuddha Chakraborty
https://arxiv.org/abs/2507.22177 …

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage
Microelectronic systems are widely used in many sensitive applications (e.g., manufacturing, energy, defense). These systems increasingly handle sensitive data (e.g., encryption key) and are vulnerable to diverse threats, such as, power side-channel attacks, which infer sensitive data through dynamic power profile. In this paper, we present a novel framework, POLARIS for mitigating power side channel leakage using an Explainable Artificial Intelligence (XAI) guided masking approach. POLARIS use…

Microsoft Backs Up A.I. Spending With $27.2 Billion Quarterly Profit: The company’s results are likely to ease investors’ worries that big investments in artificial intelligence aren’t paying off - NYTimes
https://www.nytimes.com/2025/07/30/technology/mic…

Microsoft Backs Up A.I. Spending With $27.2 Billion Quarterly Profit
The company’s results are likely to ease investors’ worries that big investments in artificial intelligence aren’t paying off.

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…

Microsoft Backs Up A.I. Spending With $27.2 Billion Quarterly Profit: The company’s results are likely to ease investors’ worries that big investments in artificial intelligence aren’t paying off - NYTimes
https://www.nytimes.com/2025/07/30/technology/mic…

Microsoft Backs Up A.I. Spending With $27.2 Billion Quarterly Profit
The company’s results are likely to ease investors’ worries that big investments in artificial intelligence aren’t paying off.

A survey of US adults: only ~40% report using AI for work and 60% say they use AI to find information at least some of the time, rising to 74% of under-30s (Associated Press)
https://apnews.com/article/ai-artificial-intelligence-poll-229b665d10d057…

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…

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

Este nuevo prisma sobre la #IA no lo habíamos contemplado aún: el consumo de energía es tan alto que estš afectando en una subida de precios para todos los consumidores. Y ya sabemos que la subida de la luz repercute en la subida de todos los demšs precios.
Enhorabuena a los genios.
Edito para meter enlace

Well put, the “averaging effect of #AI.”
What’s the equivalent for writing? That’s what’s on my mind recently. Sure, keep your style. But do we need smth else? Add more styles, punctuation hacks, whatnot?
https://www.…

"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…

Call for Papers: Religion and AI in Science Fiction and Horror
https://ift.tt/cJK4wve
Book Title: A (Holy?) Ghost in the Machine: Religion and Artificial Intelligence in Science-Fiction…
via Input 4 RELCFP

Call for Papers: Religion and AI in Science Fiction and Horror
Book Title: A (Holy?) Ghost in the Machine: Religion and Artificial Intelligence in Science-Fiction and Horror Editor: Gregory Stevenson, York University The genres of Science-Fiction and Horror ha…

Denmark plans to clamp down on AI-generated deepfakes by changing copyright law to give its citizens rights to their own body, facial features, and voice (Miranda Bryant/The Guardian)
https://www.theguardian.com/technology/202

Sequential Diagnosis with Language Models
Harsha Nori, Mayank Daswani, Christopher Kelly, Scott Lundberg, Marco Tulio Ribeiro, Marc Wilson, Xiaoxuan Liu, Viknesh Sounderajah, Jonathan Carlson, Matthew P Lungren, Bay Gross, Peter Hames, Mustafa Suleyman, Dominic King, Eric Horvitz
https://arxiv.org/abs/2506.22405

Sequential Diagnosis with Language Models
Artificial intelligence holds great promise for expanding access to expert medical knowledge and reasoning. However, most evaluations of language models rely on static vignettes and multiple-choice questions that fail to reflect the complexity and nuance of evidence-based medicine in real-world settings. In clinical practice, physicians iteratively formulate and revise diagnostic hypotheses, adapting each subsequent question and test to what they've just learned, and weigh the evolving evidence…

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…

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 …

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…

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 …

"Denmark to tackle deepfakes by giving people copyright to their own features"
https://www.theguardian.com/technology/2025/jun/27/deepfakes-denmark-copyright-law-artificial-intelligence

Kremlin's artificial intelligence: a weapon against the truth!: https://benborges.xyz/2025/07/20/kremlins-artificial-intelligence-a-weapon.html

The Danish government will clamp down on the creation and dissemination of AI-generated deepfakes by changing copyright law to ensure that everybody has the right to their own body, facial features and voice.
https://www.theguardian.com/technology/202

AI Literacy as a Key Driver of User Experience in AI-Powered Assessment: Insights from Socratic Mind
Meryem Yilmaz Soylu, Jeonghyun Lee, Jui-Tse Hung, Christopher Zhang Cui, David A. Joyner
https://arxiv.org/abs/2507.21654

AI Literacy as a Key Driver of User Experience in AI-Powered Assessment: Insights from Socratic Mind
As Artificial Intelligence (AI) tools become increasingly embedded in higher education, understanding how students interact with these systems is essential to supporting effective learning. This study examines how students' AI literacy and prior exposure to AI technologies shape their perceptions of Socratic Mind, an interactive AI-powered formative assessment tool. Drawing on Self-Determination Theory and user experience research, we analyze relationships among AI literacy, perceived usability…

Investigation: California colleges and universities continue to renew Turnitin subscriptions despite the cost, faulty anti-plagiarism tech, and privacy issues (Tara García Mathewson/The Markup)
https://themarkup.org/artificial-intelligence/2025/06/2…

California colleges spend millions to catch plagiarism and AI. Is the faulty tech worth it? – The Markup
Colleges and universities renew Turnitin subscriptions year after year even though its flawed detectors are expensive and require students to let the company keep their papers forever.

Towards Operational Data Analytics Chatbots -- Virtual Knowledge Graph is All You Need
Junaid Ahmed Khan, Hiari Pizzini Cavagna, Andrea Proia, Andrea Bartolini
https://arxiv.org/abs/2506.22267

Towards Operational Data Analytics Chatbots -- Virtual Knowledge Graph is All You Need
With generative artificial intelligence challenging computational scientific computing, data centers are experiencing unprecedented growth in both scale and volume. As a result, computing efficiency has become more critical than ever. Operational Data Analytics (ODA) relies on the collection of data center telemetry to improve efficiency, but so far has been focusing on real-time telemetry data visualization and post-mortem analysis. However, with NoSQL databases now serving as the default stor…

LMPVC and Policy Bank: Adaptive voice control for industrial robots with code generating LLMs and reusable Pythonic policies
Ossi Parikka, Roel Pieters
https://arxiv.org/abs/2506.22028

LMPVC and Policy Bank: Adaptive voice control for industrial robots with code generating LLMs and reusable Pythonic policies
Modern industry is increasingly moving away from mass manufacturing, towards more specialized and personalized products. As manufacturing tasks become more complex, full automation is not always an option, human involvement may be required. This has increased the need for advanced human robot collaboration (HRC), and with it, improved methods for interaction, such as voice control. Recent advances in natural language processing, driven by artificial intelligence (AI), have the potential to answ…

RecGPT Technical Report
Chao Yi, Dian Chen, Gaoyang Guo, Jiakai Tang, Jian Wu, Jing Yu, Sunhao Dai, Wen Chen, Wenjun Yang, Yuning Jiang, Zhujin Gao, Bo Zheng, Chi Li, Dimin Wang, Dixuan Wang, Fan Li, Fan Zhang, Haibin Chen, Haozhuang Liu, Jialin Zhu, Jiamang Wang, Jiawei Wu, Jin Cui, Ju Huang, Kai Zhang, Kan Liu, Lang Tian, Liang Rao, Longbin Li, Lulu Zhao, Mao Zhang, Na He, Peiyang Wang, Qiqi Huang, Tao Luo, Wenbo Su, Xiaoxiao He, Xin Tong, Xu Chen, Xunke Xi, Yang Li, Yaxuan Wu, Yeqiu…

RecGPT Technical Report
Recommender systems are among the most impactful applications of artificial intelligence, serving as critical infrastructure connecting users, merchants, and platforms. However, most current industrial systems remain heavily reliant on historical co-occurrence patterns and log-fitting objectives, i.e., optimizing for past user interactions without explicitly modeling user intent. This log-fitting approach often leads to overfitting to narrow historical preferences, failing to capture users' evo…

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…

Is SHACL Suitable for Data Quality Assessment?
Carolina Cort\'es Lasalle, Lisa Ehrlinger, Lorena Etcheverry, Felix Naumann
https://arxiv.org/abs/2507.22305 https://

Is SHACL Suitable for Data Quality Assessment?
Knowledge graphs have been widely adopted in both enterprises, such as the Google Knowledge Graph, and open platforms like Wikidata to represent domain knowledge and support analysis with artificial intelligence. They model real-world information as nodes and edges. To embrace flexibility, knowledge graphs often lack enforced schemas (i.e., ontologies), leading to potential data quality issues, such as semantically overlapping nodes. Therefore, ensuring their quality is essential, as issues in …

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…

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

AI is coming to the NFL, and it could transform the game https://www.nytimes.com/athletic/6446516/2025/06/24/nfl-ai-artificial-intelligence-investments-analytics-advantage/

AI-generated images of fake, otherworldly-looking houseplants are proliferating online and misleading consumers, as AI slop extends to plant care advice (Nicole Froio/The Verge)
https://www.theverge.com/ai-artificial-intellige…

AI is ruining houseplant communities online
AI-generated images and chatbot misinformation plague plant collectors.

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…

The BBC appoints ex-Meta executive Anjali Kapoor to the newly created role of director for BBC News AI, Innovation, and Growth, to "accelerate AI adoption" (Max Goldbart/Deadline)
https://deadline.com/2025/07/bbc-news-ai-role-anjali-kapoor-meta-12364719…

Meta Exec Joins BBC News For Key Artificial Intelligence Role
BBC News has hired AI Lead Anjali Kapoor from Meta to accelerate Artificial Intelligence adoption and work with data.

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…

How the video game industry, which has used AI since the 1980s, is embracing AI-enhanced gameplay, worrying some developers as major studios cut employees (Zachary Small/New York Times)
https://www.nytimes.com/2025/07/28/arts/video-games-artificial-intelligen…

The Unnerving Future of A.I.-Fueled Video Games
Game designers have used artificial intelligence since the 1980s. But digital characters demonstrating self-awareness is a far cry from the ghosts chasing Pac-Man.

Adapting University Policies for Generative AI: Opportunities, Challenges, and Policy Solutions in Higher Education
Russell Beale
https://arxiv.org/abs/2506.22231

Adapting University Policies for Generative AI: Opportunities, Challenges, and Policy Solutions in Higher Education
The rapid proliferation of generative artificial intelligence (AI) tools - especially large language models (LLMs) such as ChatGPT - has ushered in a transformative era in higher education. Universities in developed regions are increasingly integrating these technologies into research, teaching, and assessment. On one hand, LLMs can enhance productivity by streamlining literature reviews, facilitating idea generation, assisting with coding and data analysis, and even supporting grant proposal d…

Replaced article(s) found for cs.CR. https://arxiv.org/list/cs.CR/new
[1/1]:
- Adversarial attacks and defenses in explainable artificial intelligence: A survey
Hubert Baniecki, Przemyslaw Biecek

AgentMaster: A Multi-Agent Conversational Framework Using A2A and MCP Protocols for Multimodal Information Retrieval and Analysis
Callie C. Liao, Duoduo Liao, Sai Surya Gadiraju
https://arxiv.org/abs/2507.21105

AgentMaster: A Multi-Agent Conversational Framework Using A2A and MCP Protocols for Multimodal Information Retrieval and Analysis
The rise of Multi-Agent Systems (MAS) in Artificial Intelligence (AI), especially integrated with Large Language Models (LLMs), has greatly facilitated the resolution of complex tasks. However, current systems are still facing challenges of inter-agent communication, coordination, and interaction with heterogeneous tools and resources. Most recently, the Model Context Protocol (MCP) by Anthropic and Agent-to-Agent (A2A) communication protocol by Google have been introduced, and to the best of o…

SIDE: Sparse Information Disentanglement for Explainable Artificial Intelligence
Viktar Dubovik, {\L}ukasz Struski, Jacek Tabor, Dawid Rymarczyk
https://arxiv.org/abs/2507.19321

SIDE: Sparse Information Disentanglement for Explainable Artificial Intelligence
Understanding the decisions made by deep neural networks is essential in high-stakes domains such as medical imaging and autonomous driving. Yet, these models often lack transparency, particularly in computer vision. Prototypical-parts-based neural networks have emerged as a promising solution by offering concept-level explanations. However, most are limited to fine-grained classification tasks, with few exceptions such as InfoDisent. InfoDisent extends prototypical models to large-scale datase…

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
[8/8]:
- HeLo: Heterogeneous Multi-Modal Fusion with Label Correlation for Emotion Distribution Learning
Chuhang Zheng, Chunwei Tian, Jie Wen, Daoqiang Zhang, Qi Zhu

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…

A Benchmark Dataset and Evaluation Framework for Vietnamese Large Language Models in Customer Support
Long S. T. Nguyen, Truong P. Hua, Thanh M. Nguyen, Toan Q. Pham, Nam K. Ngo, An X. Nguyen, Nghi D. M. Pham, Nghia H. Nguyen, Tho T. Quan
https://arxiv.org/abs/2507.22542

A Benchmark Dataset and Evaluation Framework for Vietnamese Large Language Models in Customer Support
With the rapid growth of Artificial Intelligence, Large Language Models (LLMs) have become essential for Question Answering (QA) systems, improving efficiency and reducing human workload in customer service. The emergence of Vietnamese LLMs (ViLLMs) highlights lightweight open-source models as a practical choice for their accuracy, efficiency, and privacy benefits. However, domain-specific evaluations remain limited, and the absence of benchmark datasets reflecting real customer interactions ma…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[7/8]:
- Grid-LOGAT: Grid Based Local and Global Area Transcription for Video Question Answering
Chowdhury, Aukkapinyo, Fujimura, Woo, Wasusatein, Ghourabi

Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality
Yixi Xu, Al-Rahim Habib, Graeme Crossland, Hemi Patel, Chris Perry, Kris Bock, Tony Lian, William B. Weeks, Rahul Dodhia, Juan Lavista Ferres, Narinder Pal Singh
https://arxiv.org/abs/2507.18842…

Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality
Ear disease contributes significantly to global hearing loss, with recurrent otitis media being a primary preventable cause in children, impacting development. Artificial intelligence (AI) offers promise for early diagnosis via otoscopic image analysis, but dataset biases and inconsistencies limit model generalizability and reliability. This retrospective study systematically evaluated three public otoscopic image datasets (Chile; Ohio, USA; Türkiye) using quantitative and qualitative methods.…

Eliciting User Requirements for AI-Enhanced Learning Environments using a Participatory Approach
Bibeg Limbu, Irene-Angelica Chounta, Vilma Sukacke, Andromachi Filippidi, Chara Spyropoulou, Marianna Anagnostopoulou, Eleftheria Tsourlidaki, Nikos Karacapilidis
https://arxiv.org/abs/2507.21088

Eliciting User Requirements for AI-Enhanced Learning Environments using a Participatory Approach
This paper explores the needs \& expectations of educational stakeholders for AI (Artificial Intelligence)-enhanced learning environments. Data was collected following two-phased participatory workshops. The first workshop outlined stakeholders' profiles in terms of technical and pedagogical characteristics. The qualitative data collected was analysed using deductive thematic analysis with Activity Theory, explicating the user needs. The second workshop articulated expectations related to the i…

OpenAI is expanding its consulting-like service to refine its models and build bespoke apps for large enterprise and government clients spending at least $10M (The Information)
https://www.theinformation.com/articles/openai-takes-page…

OpenAI Takes a Page From Palantir, Doubles Down on Consulting Services
As OpenAI pitches its artificial intelligence to big companies and government agencies, it’s taking a page from the playbook of many software firms by offeringin-house researchers and software engineers to customize AI for customers. OpenAI is adding staff and resources for a consulting-like ...

The Johns Hopkins University Press will license its authors' books to train AI models, citing concerns that "the window may be closing" for making AI deals (Ellie Wolfe/The Baltimore Banner)
https://www.thebaltimoreb…

Johns Hopkins University Press will license its authors’ books to train AI models
Authors at the Johns Hopkins University Press will be able to opt out of the AI licensing agreement until the end of August; if they do not, their work will be used to train AI models.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/8]:
- Surrogate modeling of Cellular-Potts Agent-Based Models as a segmentation task using the U-Net ne...
Comlekoglu, Toledo-Mar\'in, Comlekoglu, DeSimone, Peirce, Fox, Glazier

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 ...

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 ...

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/8]:
- TAIL: Text-Audio Incremental Learning
Yingfei Sun, Xu Gu, Wei Ji, Hanbin Zhao, Yifang Yin, Roger Zimmermann

The Value of Gen-AI Conversations: A bottom-up Framework for AI Value Alignment
Lenart Motnikar, Katharina Baum, Alexander Kagan, Sarah Spiekermann-Hoff
https://arxiv.org/abs/2507.21091

The Value of Gen-AI Conversations: A bottom-up Framework for AI Value Alignment
Conversational agents (CAs) based on generative artificial intelligence frequently face challenges ensuring ethical interactions that align with human values. Current value alignment efforts largely rely on top-down approaches, such as technical guidelines or legal value principles. However, these methods tend to be disconnected from the specific contexts in which CAs operate, potentially leading to misalignment with users interests. To address this challenge, we propose a novel, bottom-up appr…

Data-Driven and Participatory Approaches toward Neuro-Inclusive AI
Naba Rizvi
https://arxiv.org/abs/2507.21077 https://arxiv.org/pdf/2507.21077

Data-Driven and Participatory Approaches toward Neuro-Inclusive AI
Biased data representation in AI marginalizes up to 75 million autistic people worldwide through medical applications viewing autism as a deficit of neurotypical social skills rather than an aspect of human diversity, and this perspective is grounded in research questioning the humanity of autistic people. Turing defined artificial intelligence as the ability to mimic human communication, and as AI development increasingly focuses on human-like agents, this benchmark remains popular. In contras…

SEC filing: Oracle signed multiple large cloud agreements, including one that is expected to contribute $30B in annual revenue starting in FY28; ORCL jumps 5% (Samantha Subin/CNBC)
https://www.cnbc.com/2025/06/30/oracle-orcl-stock-cloud-deal.html

Oracle stock jumps after $30 billion annual cloud deal revealed in filing
Oracle shares have jumped more than 33% this year, benefiting from cloud growth and the rise of artificial intelligence models.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/8]:
- Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models
Shamus Sim, Tyrone Chen

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.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/8]:
- Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System
Lei Zheng, Ning Li, Weinan Zhang, Yong Yu

High hopes for "Deep Medicine"? AI, economics, and the future of care
Robert Sparrow, Joshua Hatherley
https://arxiv.org/abs/2507.21054 https://a…

High hopes for "Deep Medicine"? AI, economics, and the future of care
In the much-celebrated book Deep Medicine, Eric Topol argues that the development of artificial intelligence for health care will lead to a dramatic shift in the culture and practice of medicine. In the next several decades, he suggests, AI will become sophisticated enough that many of the everyday tasks of physicians could be delegated to it. Topol is perhaps the most articulate advocate of the benefits of AI in medicine, but he is hardly alone in spruiking its potential to allow physicians to…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/8]:
- Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models?
Yun Qu, Qi Wang, Yixiu Mao, Vincent Tao Hu, Bj\"orn Ommer, Xiangyang Ji

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/8]:
- Algebras of actions in an agent's representations of the world
Alexander Dean, Eduardo Alonso, Esther Mondragon

Automated but Atrophied? Student Over-Reliance vs Expert Augmentation of AI in Learning and Cybersecurity
Koffka Khan
https://arxiv.org/abs/2507.21062 https://

Automated but Atrophied? Student Over-Reliance vs Expert Augmentation of AI in Learning and Cybersecurity
University students and working professionals are increasingly encountering generative artificial intelligence (AI) in education and practice, yet their approaches and outcomes differ markedly. This paper proposes an academic study contrasting novice over-reliance on AI with expert augmentation of AI, grounded in two real-world narratives. In one, a university student attempted to outsource learning entirely to AI, eschewing course engagement. In the other, seasoned cybersecurity professionals …

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…

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

Denmark plans to clamp down on AI-generated deepfakes by changing copyright law to give its citizens rights to their own body, facial features, and voice (Miranda Bryant/The Guardian)
https://www.theguardian.com/technology/202

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

Against racing to AGI: Cooperation, deterrence, and catastrophic risks
Leonard Dung, Max Hellrigel-Holderbaum
https://arxiv.org/abs/2507.21839 https://arxi…

Against racing to AGI: Cooperation, deterrence, and catastrophic risks
AGI Racing is the view that it is in the self-interest of major actors in AI development, especially powerful nations, to accelerate their frontier AI development to build highly capable AI, especially artificial general intelligence (AGI), before competitors have a chance. We argue against AGI Racing. First, the downsides of racing to AGI are much higher than portrayed by this view. Racing to AGI would substantially increase catastrophic risks from AI, including nuclear instability, and underm…

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:/…

Replaced article(s) found for cs.CY. https://arxiv.org/list/cs.CY/new
[1/1]:
- Strategic Integration of Artificial Intelligence in the C-Suite: The Role of the Chief AI Officer
Marc Schmitt

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/4]:
- Probing EFX via PMMS: (Non-)Existence Results in Discrete Fair Division
Jaros{\l}aw Byrka, Franciszek Malinka, Tomasz Ponitka

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/4]:
- Unsupervised Learning in Echo State Networks for Input Reconstruction
Taiki Yamada, Yuichi Katori, Kantaro Fujiwara

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/4]:
- Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis
Yang Jiao, Kai Yang, Dongjin Song

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/4]:
- KIX: A Knowledge and Interaction-Centric Metacognitive Framework for Task Generalization
Arun Kumar, Paul Schrater

Generative Artificial Intelligence and Agents in Research and Teaching
Jussi S. Jauhiainen, Aurora Toppari
https://arxiv.org/abs/2508.16701 https://arxiv.o…

Generative Artificial Intelligence and Agents in Research and Teaching
This study provides a comprehensive analysis of the development, functioning, and application of generative artificial intelligence (GenAI) and large language models (LLMs), with an emphasis on their implications for research and education. It traces the conceptual evolution from artificial intelligence (AI) through machine learning (ML) and deep learning (DL) to transformer architectures, which constitute the foundation of contemporary generative systems. Technical aspects, including prompting…

How online fandom communities are advocating against AI, including protesting companies scraping fanfic content for AI training and opposing AI-generated fanfic (Decca Muldowney/The Verge)
https://www.theverge.com/ai-artificial-intelligence/688640/fanficti…

Fanfiction writers battle AI, one scrape at a time
‘It is a gift. They stole it without my permission.’

Source: Meta hired four more OpenAI researchers, including key contributors to o1-mini and o3-mini, as Zuckerberg continues an unprecedented recruiting effort (Kalley Huang/The Information)
https://www.theinformation.com/articles/meta-hires-four-openai-r…

Meta Hires Four More OpenAI Researchers
Meta Platforms is hiring four more OpenAI artificial intelligence researchers as Meta CEO Mark Zuckerberg continues an unprecedented recruiting effort to catch up to his AI rivals. The researchers, Shengjia Zhao, Jiahui Yu, Shuchao Bi and Hongyu Ren, have each agreed to join, according to a ...

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 ...

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 ...

The Johns Hopkins University Press will license its authors' books to train AI models, citing concerns that "the window may be closing" for making AI deals (Ellie Wolfe/The Baltimore Banner)
https://www.thebaltimoreb…

Johns Hopkins University Press will license its authors’ books to train AI models
Authors at the Johns Hopkins University Press will be able to opt out of the AI licensing agreement until the end of August; if they do not, their work will be used to train AI models.

[2025-07-31 Thu (UTC), 17 new articles found for cs.AI Artificial Intelligence]
toXiv_bot_toot

The Incomplete Bridge: How AI Research (Mis)Engages with Psychology
Han Jiang, Pengda Wang, Xiaoyuan Yi, Xing Xie, Ziang Xiao
https://arxiv.org/abs/2507.22847 https://

The Incomplete Bridge: How AI Research (Mis)Engages with Psychology
Social sciences have accumulated a rich body of theories and methodologies for investigating the human mind and behaviors, while offering valuable insights into the design and understanding of Artificial Intelligence (AI) systems. Focusing on psychology as a prominent case, this study explores the interdisciplinary synergy between AI and the field by analyzing 1,006 LLM-related papers published in premier AI venues between 2023 and 2025, along with the 2,544 psychology publications they cite. T…

How AI is reshaping the perfume industry, as fragrance tech startup Osmo promises 48-hour sample turnarounds and incumbents like DSM-Firmenich embrace the tech (Arabelle Sicardi/The Verge)
https://www.theverge.com/ai-artificial-intelligence/691050/perfume-ai

How AI infiltrated perfume
Some say it’s innovation. Others call it erasure.

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.…

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…

AIUC, which offers enterprises insurance policies and audits for AI agents, emerges from stealth with a $15M seed led by Nat Friedman at NFDG (Sharon Goldman/Fortune)
https://fortune.com/2025/07/23/ai-agent-insurance-startup-aiuc-stealth-1…

Exclusive: Who covers the damage when an AI agent goes rogue? This startup has an insurance policy for that
As AI agents start taking on real-world tasks, Artificial Intelligence Underwriting Company (AIUC) is offering a new kind of safety net: audits, standards—and liability insurance.

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://

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

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