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• Phoneme- and Word-Level Metrics Using Self-Supervised Speech Representations for Forced Alignment Evaluation
  Forced alignment evaluation typically requires manually annotated timestamps, limiting large-scale and multilingual analysis. We introduce two corpus-level metrics based on self-supervised (SSL) speech representations for reference-free forced alignment evalua…
  arxiv V. S. D. S. Mahesh Akavarapu, Michael Daniel, Gerhard Jäger 2026-08-28T16:39:22Z 置信度 0.78 cs.CL
• Mitigating GIL Bottlenecks in Edge AI Systems
  Deploying Python-based AI agents on resource-constrained edge devices presents a critical runtime optimization challenge: high thread counts are needed to mask I/O latency, yet Python's Global Interpreter Lock (GIL) serializes execution. We demonstrate that na…
  arxiv Mridankan Mandal, Smit Sanjay Shende 2026-01-15T16:54:34Z 置信度 0.78 cs.DCcs.OScs.PF
• Human-in-the-Loop Interactive Report Generation for Chronic Disease Adherence
  Chronic disease management requires regular adherence feedback to prevent avoidable hospitalizations, yet clinicians lack time to produce personalized patient communications. Manual authoring preserves clinical accuracy but does not scale; AI generation scales…
  arxiv Xiaotian Zhang, Jinhong Yu, Pengwei Yan, Le Jiang 等 2026-01-10T00:19:33Z 置信度 0.78 cs.HCcs.AI
• When Preference Labels Fall Short: Aligning Diffusion Models from Real Data
  Preference alignment aims to guide generative models by learning from comparisons between preferred and non-preferred samples. In practice, most existing approaches rely on preference pairs constructed from model-generated images. Such supervision is inherentl…
  arxiv Weiyan Chen, Weijian Deng, Yao Xiao, Weijie Tu 等 2026-05-19T13:35:11Z 置信度 0.78 cs.CV
• Context is all you need: Towards autonomous model-based process design using agentic AI in flowsheet simulations
  Agentic AI systems integrating large language models (LLMs) with reasoning and tooluse capabilities are transforming various domains - in particular, software development. In contrast, their application in chemical process flowsheet modelling remains largely u…
  arxiv Pascal Schäfer, Lukas J. Krinke, Martin Wlotzka, Norbert Asprion 2026-03-13T09:13:52Z 置信度 0.78 cs.AI
• Textual Equilibrium Propagation for Deep Compound AI Systems
  Large language models (LLMs) are increasingly deployed as part of compound AI systems that coordinate multiple modules (e.g., retrievers, tools, verifiers) over long-horizon workflows. Recent approaches that propagate textual feedback globally (e.g., TextGrad)…
  arxiv Minghui Chen, Wenlong Deng, James Zou, Han Yu 等 2026-01-28T21:41:11Z 置信度 0.78 cs.LGcs.AI
• Stochastic Online Euclidean TSP
  In the Euclidean travelling salesman problem (Euclidean TSP), a salesman must visit $n$ points in Euclidean space, while minimizing the travel distance, according to the Euclidean distance function. In online Euclidean TSP, introduced by Abrahamsen, Bercea, Be…
  arxiv Daniel Anker Hermansen 2026-07-08T15:36:24Z 置信度 0.78 cs.DS
• PLAIground: SLO-Driven Runtime Model Selection for Compound AI Systems in the Edge-Cloud-Space Continuum
  Applications in the 3D Computing Continuum, which unifies edge, cloud, and space, require combining multiple AI tasks such as object detection, time-series analytics, and natural language processing into Compound AI systems. These systems must satisfy stringen…
  arxiv Milos Gravara, Cynthia Marcelino, Andrija Stanisic, Stefan Nastic 2026-06-12T11:34:51Z 置信度 0.78 cs.DCcs.AI
• Keep It in Mind: User Centric Continual Spatial Intelligence Reasoning in Egocentric Video Streams
  We introduce UCS-Bench, a dataset spanning 170+ hours of egocentric visual observations with 8.1K+ timestamped questions for diagnosing User-Centric Continual Spatial intelligence in egocentric video streams. UCS-Bench targets a new problem that emphasizes dyn…
  arxiv Yun Wang, Junbin Xiao, Han Lyu, Yifan Wang 等 2026-06-13T08:50:49Z 置信度 0.78 cs.CV
• BalancedDPO: Adaptive Multi-Metric Alignment
  Diffusion models have achieved remarkable progress in text-to-image generation, yet aligning them with human preference remains challenging due to the presence of multiple, sometimes conflicting, evaluation metrics (e.g., semantic consistency, aesthetics, and …
  arxiv Dipesh Tamboli, Souradip Chakraborty, Aditya Malusare, Biplab Banerjee 等 2025-03-16T17:06:00Z 置信度 0.78 cs.CVcs.AI
• FLANS at SemEval-2026 Task 7: RAG with Open-Sourced Smaller LLMs for Everyday Knowledge Across Diverse Languages and Cultures
  This system paper describes our participation in the SemEval-2025 Task-7 ``Everyday Knowledge Across Diverse Languages and Cultures''. We attended two subtasks, i.e., Track 1: Short Answer Questions (SAQ), and Track 2: Multiple-Choice Questions (MCQ). The meth…
  arxiv Liliia Bogdanova, Shiran Sun, Lifeng Han, Natalia Amat Lefort 等 2026-03-02T14:27:14Z 置信度 0.78 cs.CLcs.AI
• White Paper: Human-AI Collaboration in Conflict Analysis: Text Classifier Development with Peacebuilders
  This paper documents a collaborative research process involving peacebuilders and data scientists in Kenya and Sudan to develop AI-based text classifiers for monitoring online polarization and hatespeech. The method describes a participatory annotation process…
  arxiv Allan Kipyator Kipkemboi Cheboi, Julie Hawke, Hussam Abualfatah, Andrew Sutjahjo 等 2026-04-22T19:29:19Z 置信度 0.78 cs.HC
• Test-Time Scaling for Small VLMs on Multilingual Visual MCQ
  Test-time scaling (TTS) reliably improves reasoning in large language models, but whether it transfers to small open vision-language models remains unclear. We examine this on EXAMS-V, a multilingual visual multiple-choice benchmark, comparing self-consistency…
  arxiv Spiros Baxevanakis, Peng-Jian Yang 2026-07-10T14:09:04Z 置信度 0.78 cs.CLcs.AIcs.LG
• DAS-PMVC: A Framework for Partial Multi-View Clustering via Dual Alignment and Structure Enhancement
  In recent years, multi-view clustering has attracted widespread research interest. However, due to limitations in data collection devices, data across different views often suffer from misalignment, leading to the partial view alignment problem (PVAP). To miti…
  arxiv Shubin Ma, Liang Zhao, Chuanye He, Zhenjiao Liu 等 2026-07-30T07:01:35Z 置信度 0.78 cs.LGcs.CV
• ReToP: Learning to Rewrite Electronic Health Records for Clinical Prediction
  Electronic Health Records (EHRs) provide crucial information for clinical decision-making. However, their high-dimensionality, heterogeneity, and sparsity make clinical prediction challenging. Large Language Models (LLMs) allowed progress towards addressing th…
  arxiv Jesus Lovon-Melgarejo, Jose G. Moreno, Christine Damase-Michel, Lynda Tamine 2026-01-27T07:20:46Z 置信度 0.78 cs.CL
• Distilling Safe LLM Systems via Soft Prompts for On Device Settings
  Deploying safe large language models (LLMs) on resource-constrained edge devices presents a critical challenge: while dual-model systems combining LLMs with guard models provide effective safety guarantees, their substantial memory and computational demands ma…
  arxiv Motasem Alfarra, Cristina Pinneri, Dana Kianfar, Mohammed Almousa 等 2026-06-08T12:03:51Z 置信度 0.78 cs.LG
• Cyber-Capable AI Agents: Vulnerabilities, Evaluation Containment, and Defensive Response
  Cyber-capable AI agents combine language models with tools, memory, and execution environments to perform multi-step offensive-security tasks. Existing work separately measures cyber capability and catalogs attacks against agent components, but provides less g…
  arxiv Abu Bakar Siddik 2026-07-28T07:34:37Z 置信度 0.78 cs.AI
• The AI Transformation Gap Index (AITG): An Empirical Framework for Measuring AI Transformation Opportunity, Disruption Risk, and Value Creation at the Industry and Firm Level
  Despite the scale of capital being deployed toward AI initiatives, no empirical framework currently exists for benchmarking where a firm stands relative to competitors in AI readiness and deployment, or for translating that position into auditable financial ou…
  arxiv Dean Barr 2026-02-27T10:54:58Z 置信度 0.78 econ.GNcs.AIcs.CY
• SuperADD: Training-free Class-agnostic Anomaly Segmentation -- CVPR 2026 VAND 4.0 Workshop Challenge Industrial Track
  Visual anomaly detection (AD) for industrial inspection is a highly relevant task in modern production environments. The problem becomes particularly challenging when training and deployment data differ due to changes in acquisition conditions during productio…
  arxiv Lukas Roming, Felix Lehnerer, Jonas V. Funk, Andreas Michel 等 2026-05-14T13:22:02Z 置信度 0.78 cs.CV
• The Psychology of Learning from Machines: Anthropomorphic AI and the Paradox of Automation in Education
  As AI tutors enter classrooms at unprecedented speed, their deployment increasingly outpaces our grasp of the psychological and social consequences of such technology. Yet decades of research in automation psychology, human factors, and human-computer interact…
  arxiv Junaid Qadir, Muhammad Mumtaz 2026-01-07T08:28:33Z 置信度 0.78 cs.CYcs.AI
• Revid AI Discount Code "BONUS99" – Save 20% Off and Instantly Turn Ideas Into Stunning AI Videos
  crossref Revid AI Update Discount Code 2026-03-11T09:15:32Z 置信度 0.70
• AI Serving Hospitals
  This chapter discusses how artificial intelligence is being deployed inside hospitals today, from command centers that predict patient surges to algorithms that detect silent heart conditions on routine tests. This matters because hospitals are under pressure …
  crossref Thomas Klein 2026-08-27T21:17:11Z 置信度 0.70
• Alignment of Risk Attitudes in AI Risk Management Systems: Four Examples in Medicine, Defense, Sports, and Autonomous Vehicles
  Some artificial intelligence (AI) systems based on large language models are designed to provide risk management decisions. These AI decisions are generally made under uncertainty and involve an encoded risk attitude. Whether that risk attitude fits the situat…
  crossref M.-Elisabeth Paté-Cornell 2025-12-05T16:45:52Z 置信度 0.70
• Deeper and Deeper: A Lightweight Semi-Supervised Deep Reinforcement Adaptive Learning-Based Ontology Alignment
  Ontology alignment, also known as ontology matching, is pivotal for addressing semantic heterogeneity on the Semantic Web. Essentially, it entails linking entities across different ontologies or knowledge graphs in order to resolve ambiguity and enhance the in…
  crossref Mehrnoosh Zaeifi, Ahmadreza Mosallanezhad, Srividya Bansal 2025-05-16T17:41:52Z 置信度 0.70
• Verifiable AI
  AI systems are moving into workflows where the output does not just inform a decision, it becomes part of one. In many organizations, that creates a practical problem: when an AI-driven result is later challenged, reviewed, or audited, there is often no durabl…
  crossref Stephen Woodard 2026-04-20T15:29:57Z 置信度 0.70
• The Future of Generative AI in Cloud Infrastructure
  crossref Pravin Pandey 2026-01-23T06:41:21Z 置信度 0.70
• AI-Augmented Hydrographic Workflows: Transforming Seabed Intelligence in Deepwater Field Development
  Abstract The increasing complexity of deepwater oil and gas projects necessitates a reimagining of how subsea data is acquired, processed, and applied. Traditional hydrographic survey workflows—often linear, labour-intensive, and retrospective—struggle to deli…
  crossref A. I. Oluwo 2026-01-13T00:02:52Z 置信度 0.70
• Educational Responsibility in the Age of Generative AI
  Generative artificial intelligence has rapidly become a practical condition of higher education. Its significance lies in the academic work it increasingly mediates—how ideas are drafted and expressed, how learning experiences are designed, and how feedback is…
  crossref Theo Bastiaens, Michael Searson 2026-03-11T20:26:27Z 置信度 0.70
• Culturally contextual datasheets: a framework for embedding cultural reflexivity in global AI governance
  Abstract The global deployment of artificial intelligence systems has repeatedly revealed a critical failure of governance: the datasets used to train these systems are often culturally myopic, encoding narrow worldviews that lead to harmful biases and perform…
  crossref Lisa Mmesoma Udechukwu 2026-04-01T20:12:17Z 置信度 0.70
• A New Explainable AI Approach to Legal Judgement Prediction: Detecting Model Uncertainty and Analyzing the Alignment Between Judges and Models
  In this study, a binary classification problem is studied for the predicting outcomes of Turkish Constitutional Court decisions with deep learning models. New approaches have been developed to calculate the uncertainty in the outputs of the models and to analy…
  crossref Cihan Erdoğanyılmaz 2025-01-10T19:42:50Z 置信度 0.70
• China's AI Governance Architecture: From State Control to Operational AI Governance
  China has developed one of the world's most operationally sophisticated AI governance systems. Whilst much Western commentary frames China's approach primarily through censorship or industrial policy, this paper argues that China's regulatory architecture is b…
  crossref Alexandra Carvalho 2026-05-07T14:06:02Z 置信度 0.70
• [@Asesor~United✔Disponible24H] ¿Cómo llamar a United Airlines desde El Salvador?
  888-599-4723 (US).Agente en vivo disponible para United Airlines vuelos El Salvador.🛫📲 ¿Cómo llamar a United Airlines en El Salvador?Para llamar a United Airlines en El Salvador, marca +𝟱𝟬𝟯 🧬 2136 🧬 𝟖𝟕𝟗𝟎 / (+503) 2136-8790 (SAL) y un agente en vivo …
  crossref AI AI 2026-03-03T08:09:12Z 置信度 0.70
• Institutional Alignment as a Bridge Between Interpersonal Abilities and Educator Excellence
  This research investigates the relationship between interpersonal abilities and educator excellence, with a focus on how institutional alignment serves as a mediating factor in this relationship. The study utilized a descriptive- correlational approach, survey…
  crossref Everly Nacalaban 2026-01-21T08:29:20Z 置信度 0.70
• L1 Swedish transfer of stress and F0 peak alignment in L2 Japanese prosody
  This study examines how native language (L1) prosody shapes the acquisition of lexical pitch accent in a second language (L2).While research on L2 prosody has largely focused on stress and tone, the role of L1 transfer in L2 pitch accent production remains und…
  crossref Natsumi Goto, Shinichiro Ishihara, Mitsuhiko Ota 2026-05-14T05:49:43Z 置信度 0.70
• AI CEO Review
  crossref William Johnson 2026-05-02T15:18:46Z 置信度 0.70
• SITEGENIUS AI Review
  crossref Taylor Johnson 2026-03-05T17:39:26Z 置信度 0.70
• SITEGENIUS AI Review
  crossref Taylor Johnson 2026-03-05T17:37:42Z 置信度 0.70
• SITEPILOT AI Review
  crossref William Johnson 2026-04-18T08:25:58Z 置信度 0.70
• The Holodeck revisited: foundations for AI Character Media
  Abstract People experience stories as observers in films and novels, while games and virtual reality (VR) enable them to participate directly in story worlds. More recently, advances in large language models have made natural interactions with AI characters in…
  crossref Junichi Hoshino 2026-08-25T08:38:04Z 置信度 0.70
• Announcements from The Bible of AI™ Open Science
  crossref 2026-07-15T06:38:42Z 置信度 0.70
• Multimodal Generative AI
  crossref Diego Apellániz 2026-04-29T09:11:32Z 置信度 0.70
• Generative AI
  This chapter gives an introduction to generative AI with several examples. It covers three important topics to help you get started with learning GenAI. One is that you will get the big picture of why we need GenAI. Second is the GenAI tech stack and ecosystem…
  crossref Sudha Jamthe 2026-01-12T09:03:12Z 置信度 0.70
• Maturity Alignment Matters: The Predictive Power of the Variance Risk Premium
  The predictive power of the variance risk premium (VRP) for realized volatility depends critically on aligning option maturity with the forecast horizon. Historically, short-dated index options were restricted to the monthly cycle, forcing interpolation betwee…
  crossref Tomáš Plíhal, Joachim Oliver Mampouya 2026-05-14T17:39:23Z 置信度 0.70
• Review for "Strain-induced alignment of carbon nanotubes in stretchable polymer sensors revealed by angle-dependent NEXAFS"
  crossref 2026-07-29T10:51:16Z 置信度 0.70
• Alignment with experimental data improves protein generative modeling
  crossref 2026-08-14T17:37:06Z 置信度 0.70
• Animation-Driven Behaviour
  crossref Johan Holthausen 2026-07-09T20:46:49Z 置信度 0.70
• Representative democracy and the harms of AI
  crossref Ritwik Agrawal, Thomas Christiano 2026-08-11T13:51:58Z 置信度 0.70
• Business Analysis Method for Constructing Business–AI Alignment Model
  In this study, we consider the construction of a model for representing an artificial intelligence (AI) service system project. When developing a system using AI technologies to support a business task in a company, all project members from both business and I…
  crossref Hironori Takeuchi, Shuichiro Yamamoto 2020-10-02T16:53:44Z 置信度 0.70
• Recent advances in human preference alignment of text-to-image diffusion models
  crossref Yingjie Tian, Zhongyang Li 2026-07-09T23:23:56Z 置信度 0.70
• Qualification of 6% Mo Stainless Steel: Alignment with ISO 15156
  Abstract Corrosion resistant alloys are widely used in the industry as a subsidy for Carbon steel exposed to higher corrosive environments. This study evaluates the pitting and corrosion behavior of Super austenitic stainless steels containing 6% molybdenum (6…
  crossref Rudaina Al Raqmi, Mohammed Al Hubaishi, Mazin Al Hosni, Awadh Khayari 等 2026-03-06T13:59:06Z 置信度 0.70
• Multireference Alignment for Lead-Lag Detection in Multivariate Time Series and Equity Trading
  We introduce a methodology based on Multireference Alignment (MRA) for lead-lag detection in multivariate time series, and demonstrate its applicability in developing trading strategies. Specifically designed for low signal-to-noise ratio (SNR) scenarios, our …
  crossref Danni Shi, Jan-Peter Calliess, Mihai Cucuringu 2023-11-25T18:09:47Z 置信度 0.70
• {{(𝟓𝟎7⇼𝟖𝟑𝟑⇨𝟖𝟑𝟑𝟗)}}¿Cómo puedo llamar a Copa Airlines Panamá?Copa PANAMA
  {{(𝟓𝟎7⇼𝟖𝟑𝟑⇨𝟖𝟑𝟑𝟗)}}¿Cómo puedo llamar a Copa Airlines Panamá?Copa PANAMA {{(Telefono!!PA)}} ¿Cómo puedo llamar a Copa Airlines Panamá?Puedes contactar a Copa desde Panamá llamando a los números 🐱 🚀 +507 833-8339 o +𝟓𝟎𝟕⁞"𝟖𝟑 𝟑𝟖𝟑𝟑-¦-𝟗 {𝓟𝓐}.S…
  crossref AI AI 2026-03-06T05:34:51Z 置信度 0.70
• The African AI Enclave: Generative AI and the Modern Sector
  Does generative AI diffuse broadly through African economies, or does it enter through the narrow modern sector? This paper provides new multi-country evidence on the occupational, purpose-of-use, and spatial incidence of observed generative-AI activity in Afr…
  crossref Ada Tony Odu 2026-08-15T16:52:26Z 置信度 0.70
• Synthesys Actors Review Best AI Actors Platform 2026
  crossref Wassew Nany 2026-03-02T20:36:42Z 置信度 0.70
• Index
  crossref 2025-12-12T23:54:25Z 置信度 0.70
• Introduction
  crossref 2026-06-19T08:54:02Z 置信度 0.70
• From heat to harmony: toward a green AI for the Global South
  crossref Sivi Edakkalathur, P. S. Reeja 2026-01-21T02:02:19Z 置信度 0.70
• AI Transparency Requirements for AI-Generated Content: Implications for Marketing and Advertising Agencies Under the Colorado AI Act
  Artificial intelligence is used by marketing and advertising for content creation to engage consumers. AI-generated content has grown rapidly and competes at scale with human-created content (Graphite, 2026). While this technological disruption offers improved…
  crossref Benjamin Kepner 2026-06-05T09:50:10Z 置信度 0.70
• Reasoning Shapes Alignment: Investigating Cultural Alignment in Large Reasoning Models with Cultural Norms
  The advanced reasoning capabilities of Large Reasoning Models enable them to thoroughly understand and apply safety policies through deliberate thought processes, thereby improving the models' safety. Beyond safety, these models must also be able to reflect th…
  crossref Yuhang Wang, Yanxu Zhu, Jitao Sang 2026-03-18T00:56:56Z 置信度 0.70
• Introduction
  crossref Xuyou Long, Jin Shi, Yingjie Wang 2026-02-17T21:58:26Z 置信度 0.70
• Human-AI Interaction in Assistive Technology
  crossref Tingting Song, Qin Sun, Yunqi Hu, Yan Wang 等 2026-05-21T00:17:44Z 置信度 0.70
• AI-Driven Resource Allocation in Multi-tenant SDN Environments
  Software-Defined Networking (SDN) has emerged as a transformative paradigm in network architecture, enabling programmable, centralized control of network resources. By decoupling the control plane from the data plane, SDN allows network administrators to dynam…
  crossref Het Mehta 2026-02-19T09:36:43Z 置信度 0.70
• Safety, Alignment, and Robustness of Large Language Models: A Review
  Large Language Models (LLMs) have rapidly evolved into general-purpose systems with broad applicability across information access, reasoning, decision support, and human-computer interaction. Their growing deployment, however, has intensified concerns regardin…
  crossref Milad Moradi 2026-07-29T08:43:22Z 置信度 0.70
• {{(𝟓𝟎7⇼𝟖𝟑𝟑⇨𝟖𝟑𝟑𝟗)}}¿Cómo comunicarse con Copa Airlines en Panamá?Copa PANAMA
  {{(𝟓𝟎7⇼𝟖𝟑𝟑⇨𝟖𝟑𝟑𝟗)}}¿Cómo comunicarse con Copa Airlines en Panamá?Copa PANAMA {{(Telefono!!PA)}} ¿Cómo comunicarse con Copa Airlines en Panamá?Puedes contactar a Copa desde Panamá llamando a los números 🐱 🚀 +507 833-8339 o +𝟓𝟎𝟕⁞"𝟖𝟑 𝟑𝟖𝟑𝟑-¦-𝟗 …
  crossref AI AI 2026-03-06T05:40:13Z 置信度 0.70
• AI for Whose Tasks? Directed AI Quality and Uneven Effective Access
  Generic access to artificial intelligence need not imply equal effective access. This paper studies whether current AI capabilities fit the tasks performed by different economies. I develop a task-space model in which AI quality is task-specific and improves t…
  crossref Hangdong Ren 2026-07-29T13:29:58Z 置信度 0.70
• Can AI Be Psychologically Safe?
  This chapter explores the psychological impacts of automation that have received insufficient attention in safety frameworks. We examine how AI safety extends beyond technical robustness to encompass protection from psychological harms including manipulation, …
  crossref Uthman Ali 2026-07-24T00:05:33Z 置信度 0.70
• Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels
  Large Language Models are routinely compressed via post-training quantization to reduce inference costs and memory footprint for cloud and edge deployment, yet the impact of this compression on model quality remains poorly understood. Existing studies typicall…
  crossref Plawan Kumar Rath, Rahul Maliakkal 2026-07-31T18:15:52Z 置信度 0.70
• Structuring the Quest for Strategic Alignment of Artificial Intelligence (AI): A Taxonomy of the Organizational Business Value of AI Use Cases
  The deployment of Artificial Intelligence (AI) in businesses is said to provide significant benefits to organizations. However, many businesses struggle to align single AI use cases with the overall strategic business value contribution. Thus, we investigate t…
  crossref Christian Engel, Julius Schulze Buschhoff, Philipp Ebel 2022-01-11T01:50:06Z 置信度 0.70
• Advertising Experience Across AI Disclosure Levels : Focusing on Attitudes Toward AI Innovation
  최근 생성형 AI 확산으로 광고 제작에서 AI 활용 여부에 대한 공개가 소비자의 신뢰 인식에 중요한 요인이 되고 있다. 본 연구는 AI 활용 공개를 미공개, 여부 공개, 도구공개, 방법 공개의 네 가지 수준으로 구분하고, AI 혁신 태도(기대·불안)가 광고 경험(인지된 진정성, 투명성, 인지부하, 몰입도, 구매의도)에 미치는 영향을 검증하였다. AI로 제작한 이미지 광고에 공개 문구를 조작해 20~40대 60명을 대상으로 실험하고, 설문과 심층 인터뷰로 데이터를…
  crossref Hye Jin Chae, Jae Young Yun 2026-04-01T00:55:11Z 置信度 0.70
• Responsible AI through Cultural Bias Evaluation and Alignment
  Human experiences and values are shaped by cultural backgroud, which greatly affects behavior and perspective. Large Language Model(LLM) also internalize specific cultural biases according to the training data. This study quantitaively evaluates the cultural t…
  crossref Hyunjong Kim, Tae-Gyu Roh, Sang-Hyun Yoo, Ju-Min Seo 等 2025-04-07T00:35:51Z 置信度 0.70
• Embedding ethical governance in personal AI systems: design and evaluation of a user-centred oversight agent
  Abstract The increasing availability of locally executed artificial intelligence systems enables individuals to deploy personalised, multi-agent AI environments outside institutional control. While such systems offer privacy and autonomy advantages, they also …
  crossref Gyula Szabó 2026-06-08T10:29:31Z 置信度 0.70
• Generative Ai in Maritime Education and Training: Mapping Applications And Evaluation Methodologies
  crossref HÜSEYİN FATİH NACAR 2026-06-29T00:16:32Z 置信度 0.70
• AI versus AI: Human Engagement via Synthesized Command (SYNTHComm) in AI Warfare
  Autonomous systems have the potential to irrevocably reshape the battlefield. War could unfold at a tempo evermore defined by technology and iteratively unbound by deliberative pause or human presence at the point of lethal execution. Ethical engagement evolve…
  crossref Elise Annett, James Giordano 2026-08-18T05:53:59Z 置信度 0.70
• Can AI Be Accountable?
  The AI we use is powerful, and its power is increasing rapidly. If this powerful AI is to serve the needs of consumers, voters, and decision-makers, then it is imperative that the AI is accountable. In general, an agent is accountable to a forum if the forum c…
  crossref Andrew L. Kun 2026-07-24T00:05:33Z 置信度 0.70
• [motchill] Ai Thương Ai Mến Full lậu Vietsub + Thuyết Minh Phimmoi Online
  crossref alpukat mentega 2026-03-05T05:59:06Z 置信度 0.70
• От AI=BIGDATA+DEEPDATA+DIVDATA к AI=BIGDATAau+DEEPDATAau+DIVDATAau
  В работе исследуется фундаментальная формула развития искусственного интеллекта AI = BIGDATA + DEEPDATA + DIVDATA и её расширенная версия с учётом гипотезы Acta Universi. Основное внимание уделяется анализу трёх ключевых компонентов интеллектуальных систем: бо…
  crossref Дмитрий Ященко 2026-01-26T08:14:16Z 置信度 0.70
• Finite Element Analysis of Fixed-bearing Unicompartmental Knee Arthroplasty: Coronal Alignment of the Tibial Component under Physiological Alignment
  Abstract Background : To investigate the influence of tibial component varus and valgus angles on knee joint biomechanics in fixed-bearing unicompartmental knee arthroplasty (FB-UKA) with physiological mechanical alignment of the lower limb. Methods : A normal…
  crossref boyu wu, Yueqin Niu, Cunheng Yang, Jiahua Feng 等 2026-08-14T05:26:37Z 置信度 0.70
• Content
  crossref 2026-06-22T19:53:10Z 置信度 0.70
• Interaction Models and Design Paradigms in Human-AI Interaction
  crossref Chuyang Sun, Tianmu Zhu, Can Wang, Rixin Tang 2026-05-20T23:18:57Z 置信度 0.70
• Two-Stage Angular Alignment for Positive-Unlabeled Learning
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• Leading AI
  crossref Mario Jacober 2026-08-18T13:22:22Z 置信度 0.70
• Effects of louver alignment on aerodynamic noise generation in a heat sink–louver system
  This study experimentally investigates the frequency characteristics of aerodynamic noise generated by an air-cooling system model for compact electronic devices, in which a heat sink and a louver are combined. Experiments were conducted using a suction-type w…
  crossref Hiroki MATSUMOTO, Yuya KUSUMI 2026-07-23T22:11:13Z 置信度 0.70
• Xenomorphy: becoming alien with AI
  Alien encounters produce a collision of worlds, where divergent lifeforms, carrying unique physical, cognitive, and epistemic capabilities, come into contact. They force humans to reconcile with a new reality, where existing worldviews are challenged, and the …
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• ToonBook AI Review: The Ultimate ToonBook AI Review & OTO Upgrade Guide
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• An extended UTAUT model of university students’ intention to use generative AI for learning: The roles of AI literacy and AI FOMO
  본 연구의 목적은 대학생의 생성형 AI 활용 학습 이용의도를 규명하는 데 있다. 이를 위해 AI 리터러시와 AI FOMO를 선행변인으로 도입한 확장된 UTAUT 모형을 제안하고 이를 실증적으로 검증하였다. AI 리터러시 기반 자기주도 학습 과제를 수행한 대학생을 대상으로 설문조사를 실시하였으며, 최종적으로 348부의 자료를 분석에 활용하였다. 구조방정식모형(SEM)을 활용하여 가설을 검증한 결과는 다음과 같다. 첫째, AI 리터러시는 노력기대, 성과기대, 사회적…
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• revid AI Promo Code VINEET – Get 70% OFF on AI Video Creator
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• Pengaruh Kompetensi dan Disiplin Kerja terhadap Kinerja Pegawai pada Dinas Lingkungan Hidup Kabupaten Purwakarta
  This study aims to analyze the influence of competence and work discipline on employee performance at the Purwakarta Regency Environmental Agency, both partially and simultaneously. A quantitative approach utilizing descriptive and verificative methods was emp…
  crossref Mirnawati, Dadan Ahmad Fadili, Arif Fadilla 2026-08-15T05:10:39Z 置信度 0.70
• Decoding MOF structures from powder diffraction with generative AI
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• The AI-Competence Ceiling: Redefining Human Expertise in an AI-Augmented World
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• A proposal for more useful AI ethics: hierarchical principlism & the principle of compassion
  Abstract Principlism is one of the leading approaches to AI ethics. Developed originally to address bioethical issues in medicine and research, the theory requires decision-makers to consider various ethical principles to justify their actions. Despite its dom…
  crossref Adam Braus 2026-01-08T03:29:43Z 置信度 0.70
• Why human–AI relationships need socioaffective alignment
  Humans strive to design safe AI systems that align with our goals and remain under our control. However, as AI capabilities advance, we face a new challenge: the emergence of deeper, more persistent relationships between humans and AI systems. We explore how i…
  crossref Hannah Rose Kirk, Iason Gabriel, Chris Summerfield, Bertie Vidgen 等 2025-05-28T11:31:12Z 置信度 0.70
• Cybersecurity and AI
  This chapter discusses the dual role of artificial intelligence in healthcare cybersecurity: as a weapon that makes attacks more dangerous, and as a shield that makes defenses faster and smarter. Healthcare is now the most targeted sector for cyberattacks in t…
  crossref Thomas Klein 2026-08-27T21:17:11Z 置信度 0.70
• AI for AI: Leveraging AI to Enable AI Opportunities in Germany’s Public Sector
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• SiteGenius AI Review
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• AI-Augmented Research
  This workshop explores how AI can be used responsibly across the research lifecycle, from literature discovery and question development to computational analysis, writing, and publication. It emphasises research judgement, verification, and reproducibility, gi…
  crossref Moses Boudourides 2026-08-10T15:50:20Z 置信度 0.70
• VIDSHOPR AI Review
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• AI-Empowered Patient Capital Scenario-Based AI Corporate Valuation System An AI Valuation System Based on Scenario Prediction
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• Weak Formalization of Semantic Constraints: AI Runtime Governance for Industrial AI
  The dominant discussion of long-context artificial intelligence often treats context as an expanded information container: the more text, memory, documents, or prior interaction a model can retain, the better it can act. This paper argues that this framing mis…
  crossref Fei Xu 2026-07-08T05:58:36Z 置信度 0.70
• 4 Emergence: How AI Becomes Thinking AI
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