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• Explainable Artificial Intelligence for Economic Time Series: A Comprehensive Review and a Systematic Taxonomy of Methods and Concepts
  Explainable Artificial Intelligence (XAI) is increasingly required in computational economics, where machine-learning forecasters can outperform classical econometric models but remain difficult to audit and use for policy. This survey reviews and organizes th…
  arxiv Agustín García-García, Pablo Hidalgo, Julio E. Sandubete 2025-12-14T00:45:30Z 置信度 0.78 econ.GNcs.AI
• Translation of Fetal Brain Ultrasound Images into Pseudo-MRI Images using Artificial Intelligence
  Ultrasound is a widely accessible and cost-effective medical imaging tool commonly used for prenatal evaluation of the fetal brain. However, it has limitations, particularly in the third trimester, where the complexity of the fetal brain requires high image qu…
  arxiv Naomi Silverstein, Efrat Leibowitz, Ron Beloosesky, Haim Azhari 2025-04-03T08:59:33Z 置信度 0.78 eess.IVcs.AIcs.CV
• Leveraging Hybrid Intelligence Towards Sustainable and Energy-Efficient Machine Learning
  Hybrid intelligence aims to enhance decision-making, problem-solving, and overall system performance by combining the strengths of both, human cognitive abilities and artificial intelligence. With the rise of Large Language Models (LLM), progressively particip…
  arxiv Daniel Geissler, Paul Lukowicz 2024-07-15T09:58:27Z 置信度 0.78 cs.AI
• Leveraging Federated Learning and Edge Computing for Recommendation Systems within Cloud Computing Networks
  To enable large-scale and efficient deployment of artificial intelligence (AI), the combination of AI and edge computing has spawned Edge Intelligence, which leverages the computing and communication capabilities of end devices and edge servers to process data…
  arxiv Yaqian Qi, Yuan Feng, Xiangxiang Wang, Hanzhe Li 等 2024-03-05T17:58:26Z 置信度 0.78 cs.AI
• Machine Intelligence on Wireless Edge Networks
  Machine intelligence on edge devices enables low-latency processing and improved privacy, but is often limited by the energy and delay of moving and converting data. Current systems frequently avoid local model storage by sending queries to a server, incurring…
  arxiv Sri Krishna Vadlamani, Kfir Sulimany, Zhihui Gao, Tingjun Chen 等 2025-06-13T20:26:30Z 置信度 0.78 cs.ETcs.LG
• Causality-Inspired Taxonomy for Explainable Artificial Intelligence
  As two sides of the same coin, causality and explainable artificial intelligence (xAI) were initially proposed and developed with different goals. However, the latter can only be complete when seen through the lens of the causality framework. As such, we propo…
  arxiv Pedro C. Neto, Tiago Gonçalves, João Ribeiro Pinto, Wilson Silva 等 2022-08-19T18:26:35Z 置信度 0.78 cs.CV
• The Silent Cost of Artificial Intelligence Assistance: A Theory of Autonomy Surrender, the Recovery Mechanism, and the Restoration of Human Agency
  The integration of artificial intelligence into human decision-making environments has introduced a previously undertheorized cost: the gradual surrender of human autonomy in exchange for access to information and computational assistance. Building on the Huma…
  arxiv Ancuta Margondai, Julie Rader, Emma Rader, Sara Willox 等 2026-06-11T22:56:25Z 置信度 0.78 cs.HCcs.AI
• Time-resolved electrical detection of chiral edge vortex braiding
  A $2π$ phase shift across a Josephson junction in a topological superconductor injects vortices into the chiral edge modes at opposite ends of the junction. When two vortices are fused they transfer charge into a metal contact. We calculate the time dependent …
  arxiv I. Adagideli, F. Hassler, A. Grabsch, M. Pacholski 等 2019-07-04T14:32:20Z 置信度 0.78 cond-mat.mes-hallquant-ph
• Your Robot Will Feel You Now: Empathy in Robots and Embodied Agents
  The fields of human-robot interaction (HRI) and embodied conversational agents (ECAs) have long studied how empathy could be implemented in machines. One of the major drivers has been the goal of giving multimodal social and emotional intelligence to these art…
  arxiv Angelica Lim, Ö. Nilay Yalçin 2026-02-12T22:07:44Z 置信度 0.78 cs.ROcs.AIcs.CV
• Federated Learning Assisted Edge Caching Scheme Based on Lightweight Architecture DDPM
  Edge caching is an emerging technology that empowers caching units at edge nodes, allowing users to fetch contents of interest that have been pre-cached at the edge nodes. The key to pre-caching is to maximize the cache hit percentage for cached content withou…
  arxiv Xun Li, Qiong Wu, Pingyi Fan, Kezhi Wang 等 2025-06-05T03:16:51Z 置信度 0.78 cs.NIeess.SP
• On Explaining Proxy Discrimination and Unfairness in Individual Decisions Made by AI Systems
  Artificial intelligence (AI) systems in high-stakes domains raise concerns about proxy discrimination, unfairness, and explainability. Existing audits often fail to reveal why unfairness arises, particularly when rooted in structural bias. We propose a novel f…
  arxiv Belona Sonna, Alban Grastien 2025-09-30T01:58:59Z 置信度 0.78 cs.AIcs.SC
• What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) Decisions
  Improving end-users' understanding of decisions made by autonomous vehicles (AVs) driven by artificial intelligence (AI) can improve utilization and acceptance of AVs. However, current explanation mechanisms primarily help AI researchers and engineers in debug…
  arxiv Somayeh Molaei, Lionel P. Robert, Nikola Banovic 2025-05-09T20:57:34Z 置信度 0.78 cs.HCcs.AI
• The Nature of Intelligence
  The human brain is the substrate for human intelligence. By simulating the human brain, artificial intelligence builds computational models that have learning capabilities and perform intelligent tasks approaching the human level. Deep neural networks consist …
  arxiv Barco Jie You 2023-07-20T23:11:59Z 置信度 0.78 q-bio.NCcs.AI
• SAED: Edge-Based Intelligence for Privacy-Preserving Enterprise Search on the Cloud
  Cloud-based enterprise search services (e.g., AWS Kendra) have been entrancing big data owners by offering convenient and real-time search solutions to them. However, the problem is that individuals and organizations possessing confidential big data are hesita…
  arxiv Sakib M Zobaed, Mohsen Amini Salehi, Rajkumar Buyya 2021-02-26T09:27:26Z 置信度 0.78 cs.IRcs.DC
• Knowledge Affordances for Hybrid Human-AI Information Seeking
  As information ecosystems grow more heterogeneous, both humans and artificial agents increasingly face a simple yet unresolved question: when seeking knowledge, whom should we ask, and why? Inspired by how people intuitively "read a room", this paper introduce…
  arxiv Irene Celino 2026-04-30T07:43:57Z 置信度 0.78 cs.HCcs.AI
• Fairness Assessment for Artificial Intelligence in Financial Industry
  Artificial Intelligence (AI) is an important driving force for the development and transformation of the financial industry. However, with the fast-evolving AI technology and application, unintentional bias, insufficient model validation, immature contingency …
  arxiv Yukun Zhang, Longsheng Zhou 2019-12-16T06:09:39Z 置信度 0.78 stat.MLcs.LGstat.AP
• FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
  The recent advancements in artificial intelligence (AI) combined with the extensive amount of data generated by today's clinical systems, has led to the development of imaging AI solutions across the whole value chain of medical imaging, including image recons…
  arxiv Karim Lekadir, Richard Osuala, Catherine Gallin, Noussair Lazrak 等 2021-09-20T16:22:49Z 置信度 0.78 cs.CVcs.AIcs.LG
• The inherent goodness of well educated intelligence
  This paper will examine what makes a being intelligent, whether that be a biological being or an artificial silicon being on a computer. Special attention will be paid to the being having the ability to characterize and control a collective system of many iden…
  arxiv Michael E. Glinsky 2024-01-09T22:56:21Z 置信度 0.78 cs.AIphysics.soc-ph
• Testing Lotka's Law and Pattern of Author Productivity in the Scholarly Publications of Artificial Intelligence
  Artificial intelligence has changed our day to day life in multitude ways. AI technology is rearing itself as a driving force to be reckoned with in the largest industries in the world. AI has already engulfed our educational system, our businesses and our fin…
  arxiv Muneer Ahmad, Dr M Sadik Batcha, S Roselin Jahina 2021-02-18T06:49:56Z 置信度 0.78 cs.IR
• ShaTS: A Shapley-based Explainability Method for Time Series Artificial Intelligence Models applied to Anomaly Detection in Industrial Internet of Things
  Industrial Internet of Things environments increasingly rely on advanced Anomaly Detection and explanation techniques to rapidly detect and mitigate cyberincidents, thereby ensuring operational safety. The sequential nature of data collected from these environ…
  arxiv Manuel Franco de la Peña, Ángel Luis Perales Gómez, Lorenzo Fernández Maimó 2025-06-02T09:07:27Z 置信度 0.78 cs.LGcs.AI
• AI-Powered Math Tutoring: Platform for Personalized and Adaptive Education
  The growing ubiquity of artificial intelligence (AI), in particular large language models (LLMs), has profoundly altered the way in which learners gain knowledge and interact with learning material, with many claiming that AI positively influences their learni…
  arxiv Jarosław A. Chudziak, Adam Kostka 2025-07-14T20:35:16Z 置信度 0.78 cs.AIcs.MA
• Artificial intelligence empowered multi-AGVs in manufacturing systems
  AGVs are driverless robotic vehicles that picks up and delivers materials. How to improve the efficiency while preventing deadlocks is the core issue in designing AGV systems. In this paper, we propose an approach to tackle this problem.The proposed approach i…
  arxiv Dong Li, Bo Ouyang, Duanpo Wu, Yaonan Wang 2019-09-08T02:41:19Z 置信度 0.78 cs.AI
• Systems Explaining Systems: A Framework for Intelligence and Consciousness
  This paper proposes a conceptual framework in which intelligence and consciousness emerge from relational structure rather than from prediction or domain-specific mechanisms. Intelligence is defined as the capacity to form and integrate causal connections betw…
  arxiv Sean Niklas Semmler 2026-01-07T11:19:22Z 置信度 0.78 cs.AIcs.LGq-bio.NC
• Towards technological adaptation of advanced farming through AI, IoT, and Robotics: A Comprehensive overview
  The population explosion of the 21st century has adversely affected the natural resources with restricted availability of cultivable land, increased average temperatures due to global warming, and carbon footprint resulting in a drastic increase in floods as w…
  arxiv Md. Mahadi Hasan, Muhammad Usama Islam, Muhammad Jafar Sadeq 2022-02-21T07:47:43Z 置信度 0.78 cs.AIcs.LGcs.MA
• Artificial Intelligent Atomic Force Microscope Enabled by Machine Learning
  Artificial intelligence (AI) and machine learning have promised to revolutionize the way we live and work, and one of particularly promising areas for AI is image analysis. Nevertheless, many current AI applications focus on post-processing of data, while in b…
  arxiv Boyuan Huang, Zhenghao Li, Jiangyu Li 2018-07-26T07:23:13Z 置信度 0.78 cond-mat.mtrl-sciphysics.ins-det
• Three-edge-coloring projective planar cubic graphs: A generalization of the Four Color Theorem
  We prove that every cyclically 4-edge-connected cubic graph that can be embedded in the projective plane, with the single exception of the Petersen graph, is 3-edge-colorable. In other words, the only (non-trivial) snark that can be embedded in the projective …
  arxiv Yuta Inoue, Ken-ichi Kawarabayashi, Atsuyuki Miyashita, Bojan Mohar 等 2024-05-26T14:34:50Z 置信度 0.78 math.COcs.DM
• Natural and Artificial Spectral Edges in Exoplanets
  Technological civilizations may rely upon large-scale photovoltaic arrays to harness energy from their host star. Photovoltaic materials, such as silicon, possess distinctive spectral features, including an "artificial edge" that is characteristically shifted …
  arxiv Manasvi Lingam, Abraham Loeb 2017-02-17T19:02:25Z 置信度 0.78 astro-ph.EP
• Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems
  Ecological, environmental and geophysical time series consistently exhibit the characteristics of coloured (1/f^\b{eta}) noise. Here we briefly survey the literature on coloured noise, population persistence and related evolutionary dynamics, before introducin…
  arxiv Matt Grove, James M. Borg, Fiona Polack 2020-06-29T17:14:29Z 置信度 0.78 q-bio.PEcs.NEphysics.soc-ph
• Scaling Artificial Intelligence for Multi-Tumor Early Detection with More Reports, Fewer Masks
  Early tumor detection save lives. Each year, more than 300 million computed tomography (CT) scans are performed worldwide, offering a vast opportunity for effective cancer screening. However, detecting small or early-stage tumors on these CT scans remains chal…
  arxiv Pedro R. A. S. Bassi, Xinze Zhou, Wenxuan Li, Szymon Płotka 等 2025-10-16T15:35:44Z 置信度 0.78 cs.CVcs.AI
• A New Framework for Machine Intelligence: Concepts and Prototype
  Machine learning (ML) and artificial intelligence (AI) have become hot topics in many information processing areas, from chatbots to scientific data analysis. At the same time, there is uncertainty about the possibility of extending predominant ML technologies…
  arxiv Abel Torres Montoya 2018-06-06T12:06:33Z 置信度 0.78 cs.AIcs.LG
• Space-ground Fluid AI for 6G Edge Intelligence
  Edge artificial intelligence (AI) and space-ground integrated networks (SGINs) are two main usage scenarios of the sixth-generation (6G) mobile networks. Edge AI supports pervasive low-latency AI services to users, whereas SGINs provide digital services to spa…
  arxiv Qian Chen, Zhanwei Wang, Xianhao Chen, Juan Wen 等 2024-11-24T13:54:44Z 置信度 0.78 cs.NI
• Critical Evaluation of Artificial Intelligence as Digital Twin of Pathologist for Prostate Cancer Pathology
  Prostate cancer pathology plays a crucial role in clinical management but is time-consuming. Artificial intelligence (AI) shows promise in detecting prostate cancer and grading patterns. We tested an AI-based digital twin of a pathologist, vPatho, on 2,603 his…
  arxiv Okyaz Eminaga, Mahmoud Abbas, Christian Kunder, Yuri Tolkach 等 2023-08-23T08:25:39Z 置信度 0.78 q-bio.TOcs.AI
• Do Artificial Reinforcement-Learning Agents Matter Morally?
  Artificial reinforcement learning (RL) is a widely used technique in artificial intelligence that provides a general method for training agents to perform a wide variety of behaviours. RL as used in computer science has striking parallels to reward and punishm…
  arxiv Brian Tomasik 2014-10-30T02:34:48Z 置信度 0.78 cs.AI
• End-to-End Learning-Based Wireless Image Recognition Using the PyramidNet in Edge Intelligence
  In edge intelligence, deep learning~(DL) models are deployed at an edge device and an edge server for data processing with low latency in the Internet of Things~(IoT). In this letter, we propose a new end-to-end learning-based wireless image recognition scheme…
  arxiv Kyubihn Lee, Nam Yul Yu 2023-03-16T09:55:53Z 置信度 0.78 eess.IVeess.SP
• A Normative approach to Attest Digital Discrimination
  Digital discrimination is a form of discrimination whereby users are automatically treated unfairly, unethically or just differently based on their personal data by a machine learning (ML) system. Examples of digital discrimination include low-income neighbour…
  arxiv Natalia Criado, Xavier Ferrer, Jose M. Such 2020-07-14T15:14:52Z 置信度 0.78 cs.AIcs.CY
• Artificial Intelligence and Deep Learning Algorithms for Epigenetic Sequence Analysis: A Review for Epigeneticists and AI Experts
  Epigenetics encompasses mechanisms that can alter the expression of genes without changing the underlying genetic sequence. The epigenetic regulation of gene expression is initiated and sustained by several mechanisms such as DNA methylation, histone modificat…
  arxiv Muhammad Tahir, Mahboobeh Norouzi, Shehroz S. Khan, James R. Davie 等 2025-04-01T01:02:34Z 置信度 0.78 q-bio.GNcs.AIcs.LG
• Innovations in Cardless Artificial Intelligence Banking: A Comprehensive Framework for Cyber Secure and Fraud Mitigation using Machine Learning Algorithms
  The advent of cardless artificial intelligence (AI) banking heralds a paradigm shift in the financial landscape, offering users unprecedented security and convenience. This paper outlines a comprehensive framework designed to enhance cybersecurity, introduce a…
  arxiv Md Israfeel 2026-05-21T15:17:50Z 置信度 0.78 cs.CRcs.AIcs.LGcs.SE
• Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents
  In this paper, we present a novel framework for enhancing the capabilities of large language models (LLMs) by leveraging the power of multi-agent systems. Our framework introduces a collaborative environment where multiple intelligent agent components, each wi…
  arxiv Yashar Talebirad, Amirhossein Nadiri 2023-06-05T23:55:37Z 置信度 0.78 cs.AIcs.LGcs.MA
• AI Techniques for Software Requirements Prioritization
  Aspects such as limited resources, frequently changing market demands, and different technical restrictions regarding the implementation of software requirements (features) often demand for the prioritization of requirements. The task of prioritization is the …
  arxiv Alexander Felfernig 2021-08-02T12:43:00Z 置信度 0.78 cs.SEcs.AI
• On Formally Undecidable Traits of Intelligent Machines
  Building on work by Alfonseca et al. (2021), we study the conditions necessary for it to be logically possible to prove that an arbitrary artificially intelligent machine will exhibit certain behavior. To do this, we develop a formalism like -- but mathematica…
  arxiv Matthew Fox 2024-02-14T18:59:37Z 置信度 0.78 cs.AIcs.LO
• Toward Multi-Service Edge-Intelligence Paradigm: Temporal-Adaptive Prediction for Time-Critical Control over Wireless
  Time-critical control applications typically pose stringent connectivity requirements for communication networks. The imperfections associated with the wireless medium such as packet losses, synchronization errors, and varying delays have a detrimental effect …
  arxiv Adnan Aijaz, Nan Jiang, Aftab Khan 2022-12-07T17:45:31Z 置信度 0.78 cs.NIcs.AI
• Intelligence as Computation
  This paper proposes a specific conceptualization of intelligence as computation. This conceptualization is intended to provide a unified view for all disciplines of intelligence research. Already, it unifies several conceptualizations currently under investiga…
  arxiv Oliver Brock 2024-05-26T15:30:34Z 置信度 0.78 cs.AIcs.RO
• Interaction-Centered Intelligence: Toward an Interaction-Based Theory of Human-AI Co-Creation
  Traditional artificial intelligence has largely conceptualized intelligence as isolated computation occurring within bounded agents. Across classical AI, machine learning, and many generative systems, the dominant unit of analysis remains the individual model …
  arxiv Nicholas Davis 2026-05-30T16:47:03Z 置信度 0.78 cs.AIcs.HC
• Jellyfish: Evidence of extreme ram-pressure stripping in massive galaxy clusters
  Ram-pressure stripping by the gaseous intra-cluster medium has been proposed as the dominant physical mechanism driving the rapid evolution of galaxies in dense environments. Detailed studies of this process have, however, largely been limited to relatively mo…
  arxiv Harald Ebeling, Lauren N. Stephenson, Alastair C. Edge 2013-12-20T21:07:41Z 置信度 0.78 astro-ph.GAastro-ph.CO
• Embodied Edge Intelligence Meets Near Field Communication: Concept, Design, and Verification
  Realizing embodied artificial intelligence is challenging due to the huge computation demands of large models (LMs). To support LMs while ensuring real-time inference, embodied edge intelligence (EEI) is a promising paradigm, which leverages an LM edge to prov…
  arxiv Guoliang Li, Xibin Jin, Yujie Wan, Chenxuan Liu 等 2025-08-15T05:43:41Z 置信度 0.78 cs.ROcs.NI
• APEX: A Network-Native Time-Series Foundation Model for Forecasting and Anomaly Detection for Wireless Edge Operations
  Generic time-series foundation models transfer poorly to wireless network telemetry whose signals are bursty, zero-inflated, and coupled across protocol layers. We present APEX, a network-native, decoder-only transformer for forecasting enterprise AP telemetry…
  arxiv Swadhin Pradhan, Niloo Bahadori, Peiman Amini 2026-06-10T01:23:24Z 置信度 0.78 cs.LG
• Artificial Intelligence Enabled Material Behavior Prediction
  Artificial Intelligence and Machine Learning algorithms have considerable potential to influence the prediction of material properties. Additive materials have a unique property prediction challenge in the form of surface roughness effects on fatigue behavior …
  arxiv Timothy Hanlon, Johan Reimann, Monica A. Soare, Anjali Singhal 等 2019-06-12T17:52:30Z 置信度 0.78 cs.LGphysics.app-ph
• Reconfigurable Intelligent Surface & Edge -- An Introduction of an EM manipulation structure on obstacles' edge
  Reconfigurable Intelligent Surface (RIS) or metasurface is one of the important enabling technologies in mobile cellular networks that can effectively enhance the signal coverage performance in obstructed regions, and it is generally deployed on surfaces diffe…
  arxiv Tianqi Xiang, Zhiwei Jiang, Weijun Hong, Xin Zhang 等 2023-11-03T13:52:55Z 置信度 0.78 eess.SP
• Artificial Intelligence and Market Entrant Game Developers
  Artificial Intelligence (AI) is increasingly being used for generating digital assets, such as programming codes and images. Games composed of various digital assets are thus expected to be influenced significantly by AI. Leveraging public data and AI disclosu…
  arxiv Seonbin Jo, Woo-Sung Jung, Jisung Yoon, Hyunuk Kim 2025-09-18T12:35:19Z 置信度 0.78 cs.CY
• Hierarchical Reinforcement Learning for Air Combat at DARPA's AlphaDogfight Trials
  Autonomous control in high-dimensional, continuous state spaces is a persistent and important challenge in the fields of robotics and artificial intelligence. Because of high risk and complexity, the adoption of AI for autonomous combat systems has been a long…
  arxiv Adrian P. Pope, Jaime S. Ide, Daria Micovic, Henry Diaz 等 2021-05-03T16:40:00Z 置信度 0.78 cs.LG
• Health Care Crowds: Collective Intelligence in Public Health
  For what purposes are crowds being implemented in health care? Which crowdsourcing methods are being used? This work begins to answer these questions by reporting the early results of a systematic literature review of 110 pieces of relevant research. The resul…
  arxiv J. Prpic 2017-02-10T09:37:27Z 置信度 0.78 cs.CYcs.HC
• Advances of Artificial Intelligence in Classical and Novel Spectroscopy-Based Approaches for Cancer Diagnostics. A Review
  Cancer is one of the leading causes of death worldwide. Fast and safe early-stage, pre- and intra-operative diagnostics can significantly contribute to successful cancer identification and treatment. Artificial intelligence has played an increasing role in the…
  arxiv Marina Zajnulina 2022-08-08T09:39:36Z 置信度 0.78 q-bio.TOeess.IVstat.APstat.ML
• Low Power Dual Edge-Triggered Static D Flip-Flop
  This paper enumerates new architecture of low power dual-edge triggered Flip-Flop (DETFF) designed at 180nm CMOS technology. In DETFF same data throughput can be achieved with half of the clock frequency as compared to single edge triggered Flip-Flop (SETFF). …
  arxiv Anurag, Gurmohan Singh, V. Sulochana 2013-07-11T11:53:40Z 置信度 0.78 cs.OH
• Application of artificial intelligence techniques for automated detection of myocardial infarction: A review
  Myocardial infarction (MI) results in heart muscle injury due to receiving insufficient blood flow. MI is the most common cause of mortality in middle-aged and elderly individuals around the world. To diagnose MI, clinicians need to interpret electrocardiograp…
  arxiv Javad Hassannataj Joloudari, Sanaz Mojrian, Issa Nodehi, Amir Mashmool 等 2021-07-05T15:15:06Z 置信度 0.78 eess.SPcs.CV
• One extra edge forces Berge pancyclicity
  We resolve a question of Bailey, Hollars, Li and Luo. For all sufficiently large $n$, let $r=\lfloor(n-1)/2\rfloor$. We prove that the edges of any Hamiltonian Berge cycle in a simple $n$-vertex $r$-uniform hypergraph, together with any one additional edge, co…
  arxiv Henry Shin 2026-06-10T15:39:33Z 置信度 0.78 math.CO
• The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
  Offline reinforcement learning aims to train agents from pre-collected datasets. However, this comes with the added challenge of estimating the value of behaviors not covered in the dataset. Model-based methods offer a potential solution by training an approxi…
  arxiv Anya Sims, Cong Lu, Jakob Foerster, Yee Whye Teh 2024-02-19T20:38:00Z 置信度 0.78 cs.LGcs.AI
• Energy-aware Distributed Microservice Request Placement at the Edge
  Microservice is a way of splitting the logic of an application into small blocks that can be run on different computing units and used by other applications. It has been successful for cloud applications and is now increasingly used for edge applications. This…
  arxiv Klervie Toczé, Simin Nadjm-Tehrani 2024-08-25T07:25:19Z 置信度 0.78 cs.DC
• X-ray Cavity Dynamics and their Role in the Gas Precipitation in Planck Sunyaev-Zeldovich (SZ) Selected Clusters
  We study active galactic nucleus (AGN) feedback in nearby (z<0.35) galaxy clusters from the Planck Sunyaev-Zeldovich (SZ) sample using Chandra observations. This nearly unbiased mass-selected sample includes both relaxed and disturbed clusters and may refle…
  arxiv V. Olivares, Y. Su, W. Forman, M. Gaspari 等 2023-06-16T13:15:06Z 置信度 0.78 astro-ph.GAastro-ph.HE
• Talking Politics with Artificial Intelligence
  Large language models (LLMs), a prominent form of artificial intelligence (AI), are becoming everyday interfaces for political questions, but most exchanges are dyadic rather than audiencefacing. This paper asks whether AI conversation functions as a new arena…
  arxiv Ziwen Zu 2026-07-01T07:42:38Z 置信度 0.78 econ.GN
• The impact of generative artificial intelligence on academic development of Chinese students in humanities and social sciences
  Generative artificial intelligence(GenAI) is reshaping learning in higher education, with particularly pronounced implications for the humanities and social sciences(HSS), where learning outcomes are commonly expressed through written and interpretive forms th…
  arxiv Lei Fan, Fangxue Liu 2026-06-23T03:35:30Z 置信度 0.78 cs.HCcs.AI
• Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks
  Deep neural models in recent years have been successful in almost every field, including extremely complex problem statements. However, these models are huge in size, with millions (and even billions) of parameters, thus demanding more heavy computation power …
  arxiv Lin Wang, Kuk-Jin Yoon 2020-04-13T13:45:38Z 置信度 0.78 cs.CVcs.AIcs.LG
• From Robotic Process Automation to Intelligent Process Automation: Emerging Trends
  In this survey, we study how recent advances in machine intelligence are disrupting the world of business processes. Over the last decade, there has been steady progress towards the automation of business processes under the umbrella of ``robotic process autom…
  arxiv Tathagata Chakraborti, Vatche Isahagian, Rania Khalaf, Yasaman Khazaeni 等 2020-07-27T00:43:08Z 置信度 0.78 cs.AI
• A Hybrid Artificial Neural Network for Task Offloading in Mobile Edge Computing
  Edge Computing (EC) is about remodeling the way data is handled, processed, and delivered within a vast heterogeneous network. One of the fundamental concepts of EC is to push the data processing near the edge by exploiting front-end devices with powerful comp…
  arxiv Raby Hamadi, Abdullah Khanfor, Hakim Ghazzai, Yehia Massoud 2022-06-06T14:47:39Z 置信度 0.78 cs.DCcs.NI
• How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence
  Legal Artificial Intelligence (LegalAI) focuses on applying the technology of artificial intelligence, especially natural language processing, to benefit tasks in the legal domain. In recent years, LegalAI has drawn increasing attention rapidly from both AI re…
  arxiv Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang 等 2020-04-25T14:45:15Z 置信度 0.78 cs.CL
• Scaling Up Quantization-Aware Neural Architecture Search for Efficient Deep Learning on the Edge
  Neural Architecture Search (NAS) has become the de-facto approach for designing accurate and efficient networks for edge devices. Since models are typically quantized for edge deployment, recent work has investigated quantization-aware NAS (QA-NAS) to search f…
  arxiv Yao Lu, Hiram Rayo Torres Rodriguez, Sebastian Vogel, Nick van de Waterlaat 等 2024-01-22T20:32:31Z 置信度 0.78 cs.CVcs.LG
• A Theory of Chaordic Economics: How Artificial Intelligence and Blockchain Transform Businesses, Economies and Societies
  Dee Hock, the founder of Visa, coined the term 'chaordic' to describe simultaneously chaotic and ordered systems. Based on his reasoning, we introduce the Theory of Chaordic Economics to explain how economic systems are transformed by two disruptive technologi…
  arxiv Horst Treiblmaier 2025-02-23T14:51:45Z 置信度 0.78 econ.TH
• Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems
  Much research in artificial intelligence is concerned with the development of autonomous agents that can interact effectively with other agents. An important aspect of such agents is the ability to reason about the behaviours of other agents, by constructing m…
  arxiv Stefano V. Albrecht, Peter Stone 2017-09-23T16:10:52Z 置信度 0.78 cs.AIcs.MA
• Grounding Intelligence in Movement
  Recent advances in machine learning have dramatically improved our ability to model language, vision, and other high-dimensional data, yet they continue to struggle with one of the most fundamental aspects of biological systems: movement. Across neuroscience, …
  arxiv Melanie Segado, Felipe Parodi, Jordan K. Matelsky, Michael L. Platt 等 2025-07-03T16:34:34Z 置信度 0.78 cs.AIcs.CVcs.LGcs.RO
• A Theory of Natural Intelligence
  Introduction: In contrast to current AI technology, natural intelligence -- the kind of autonomous intelligence that is realized in the brains of animals and humans to attain in their natural environment goals defined by a repertoire of innate behavioral schem…
  arxiv Christoph von der Malsburg, Thilo Stadelmann, Benjamin F. Grewe 2022-04-22T10:27:52Z 置信度 0.78 cs.AIq-bio.NC
• Aiming to Minimize Alcohol-Impaired Road Fatalities: Utilizing Fairness-Aware and Domain Knowledge-Infused Artificial Intelligence
  Approximately 30% of all traffic fatalities in the United States are attributed to alcohol-impaired driving. This means that, despite stringent laws against this offense in every state, the frequency of drunk driving accidents is alarming, resulting in approxi…
  arxiv Tejas Venkateswaran, Sheikh Rabiul Islam, Md Golam Moula Mehedi Hasan, Mohiuddin Ahmed 2023-11-25T02:05:39Z 置信度 0.78 cs.LGcs.AIcs.CY
• Responses to a Critique of Artificial Moral Agents
  The field of machine ethics is concerned with the question of how to embed ethical behaviors, or a means to determine ethical behaviors, into artificial intelligence (AI) systems. The goal is to produce artificial moral agents (AMAs) that are either implicitly…
  arxiv Adam Poulsen, Michael Anderson, Susan L. Anderson, Ben Byford 等 2019-03-17T03:18:24Z 置信度 0.78 cs.AIcs.CYcs.RO
• A Geometric Theory of Cognition for Machine Intelligence
  Developing artificial agents that unify representation, memory, adaptation, and prediction remains a fundamental challenge in artificial intelligence. Here we introduce a geometric framework in which cognitive computation emerges from Riemannian gradient flow …
  arxiv Laha Ale 2025-12-13T07:39:53Z 置信度 0.78 cs.AI
• Automatic laminectomy cutting plane planning based on artificial intelligence in robot assisted laminectomy surgery
  Objective: This study aims to use artificial intelligence to realize the automatic planning of laminectomy, and verify the method. Methods: We propose a two-stage approach for automatic laminectomy cutting plane planning. The first stage was the identification…
  arxiv Zhuofu Li, Yonghong Zhang, Chengxia Wang, Shanshan Liu 等 2023-12-26T02:16:28Z 置信度 0.78 eess.IVcs.AIcs.CVcs.RO
• Machine Collective Intelligence for Explainable Scientific Discovery
  Deriving governing equations from empirical observations is a longstanding challenge in science. Although artificial intelligence (AI) has demonstrated substantial capabilities in function approximation, the discovery of explainable and extrapolatable equation…
  arxiv Gyoung S. Na, Chanyoung Park 2026-04-30T01:15:54Z 置信度 0.78 cs.AIphysics.comp-ph
• Ethical AI: Towards Defining a Collective Evaluation Framework
  Artificial Intelligence (AI) is transforming sectors such as healthcare, finance, and autonomous systems, offering powerful tools for innovation. Yet its rapid integration raises urgent ethical concerns related to data ownership, privacy, and systemic bias. Is…
  arxiv Aasish Kumar Sharma, Dimitar Kyosev, Julian Kunkel 2025-05-30T21:10:47Z 置信度 0.78 cs.AI
• Toward Safe Evolution of Artificial Intelligence (AI) based Conversational Agents to Support Adolescent Mental and Sexual Health Knowledge Discovery
  Following the recent release of various Artificial Intelligence (AI) based Conversation Agents (CAs), adolescents are increasingly using CAs for interactive knowledge discovery on sensitive topics, including mental and sexual health topics. Exploring such sens…
  arxiv Jinkyung Park, Vivek Singh, Pamela Wisniewski 2024-04-03T19:18:25Z 置信度 0.78 cs.HCcs.AI
• The Relationship Between Emotion Models and Artificial Intelligence
  Emotions play a central role in most forms of natural human interaction so we may expect that computational methods for the processing and expression of emotions will play a growing role in human-computer interaction. The OCC model has established itself as th…
  arxiv Christoph Bartneck, Michael J. Lyons, Martin Saerbeck 2017-06-29T02:39:42Z 置信度 0.78 cs.HC
• From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications
  With the advent of 6G communications, intelligent communication systems face multiple challenges, including constrained perception and response capabilities, limited scalability, and low adaptability in dynamic environments. This tutorial provides a systematic…
  arxiv Feibo Jiang, Cunhua Pan, Li Dong, Kezhi Wang 等 2025-05-28T12:54:07Z 置信度 0.78 cs.AIcs.CYcs.NIeess.SP
• Data Partition and Rate Control for Learning and Energy Efficient Edge Intelligence
  The rapid development of artificial intelligence together with the powerful computation capabilities of the advanced edge servers make it possible to deploy learning tasks at the wireless network edge, which is dubbed as edge intelligence (EI). The communicati…
  arxiv Xiaoyang Li, Shuai Wang, Guangxu Zhu, Ziqin Zhou 等 2021-07-19T13:57:54Z 置信度 0.78 cs.IT
• A Feature Memory Rearrangement Network for Visual Inspection of Textured Surface Defects Toward Edge Intelligent Manufacturing
  Recent advances in the industrial inspection of textured surfaces-in the form of visual inspection-have made such inspections possible for efficient, flexible manufacturing systems. We propose an unsupervised feature memory rearrangement network (FMR-Net) to a…
  arxiv Haiming Yao, Wenyong Yu, Xue Wang 2022-06-22T04:05:13Z 置信度 0.78 cs.CVcs.AI
• Avoiding Wireheading with Value Reinforcement Learning
  How can we design good goals for arbitrarily intelligent agents? Reinforcement learning (RL) is a natural approach. Unfortunately, RL does not work well for generally intelligent agents, as RL agents are incentivised to shortcut the reward sensor for maximum r…
  arxiv Tom Everitt, Marcus Hutter 2016-05-10T18:28:57Z 置信度 0.78 cs.AI
• Emergent collective intelligence from massive-agent cooperation and competition
  Inspired by organisms evolving through cooperation and competition between different populations on Earth, we study the emergence of artificial collective intelligence through massive-agent reinforcement learning. To this end, We propose a new massive-agent re…
  arxiv Hanmo Chen, Stone Tao, Jiaxin Chen, Weihan Shen 等 2023-01-04T13:23:12Z 置信度 0.78 cs.AIcs.MA
• Is the `Agent' Paradigm a Limiting Framework for Next-Generation Intelligent Systems?
  The concept of the 'agent' has profoundly shaped Artificial Intelligence (AI) research, guiding development from foundational theories to contemporary applications like Large Language Model (LLM)-based systems. This paper critically re-evaluates the necessity …
  arxiv Jesse Gardner, Vladimir A. Baulin 2025-09-13T16:11:27Z 置信度 0.78 cs.AIcond-mat.soft
• Development of a Human-Robot Interaction Platform for Dual-Arm Robots Based on ROS and Multimodal Artificial Intelligence
  In this paper, we propose the development of an interactive platform between humans and a dual-arm robotic system based on the Robot Operating System (ROS) and a multimodal artificial intelligence model. Our proposed platform consists of two main components: a…
  arxiv Thanh Nguyen Canh, Ba Phuong Nguyen, Hong Quan Tran, Xiem HoangVan 2024-11-08T05:48:41Z 置信度 0.78 cs.RO
• Morphological Computation and Learning to Learn In Natural Intelligent Systems And AI
  At present, artificial intelligence in the form of machine learning is making impressive progress, especially the field of deep learning (DL) [1]. Deep learning algorithms have been inspired from the beginning by nature, specifically by the human brain, in spi…
  arxiv Gordana Dodig-Crnkovic 2020-04-05T20:11:42Z 置信度 0.78 cs.AI
• Artificial Intelligence Policy Framework for Institutions
  Artificial intelligence (AI) has transformed various sectors and institutions, including education and healthcare. Although AI offers immense potential for innovation and problem solving, its integration also raises significant ethical concerns, such as privac…
  arxiv William Franz Lamberti 2024-12-03T20:56:47Z 置信度 0.78 cs.CY
• KitBit: A New AI Model for Solving Intelligence Tests and Numerical Series
  The resolution of intelligence tests, in particular numerical sequences, has been of great interest in the evaluation of AI systems. We present a new computational model called KitBit that uses a reduced set of algorithms and their combinations to build a pred…
  arxiv Víctor Corsino, José Manuel Gilpérez, Luis Herrera 2022-06-17T18:40:11Z 置信度 0.78 cs.AIcs.CV
• Perception, performance, and detectability of conversational artificial intelligence across 32 university courses
  The emergence of large language models has led to the development of powerful tools such as ChatGPT that can produce text indistinguishable from human-generated work. With the increasing accessibility of such technology, students across the globe may utilize i…
  arxiv Hazem Ibrahim, Fengyuan Liu, Rohail Asim, Balaraju Battu 等 2023-05-07T10:37:51Z 置信度 0.78 cs.CYcs.AI
• Artificial Intelligence Enabled Spectral Reconfigurable Fiber Laser
  The combinations of artificial intelligence and lasers provide powerful ways to form smart light sources with ground-breaking functions. Here, a Raman fiber laser (RFL) with reconfigurable and programmable spectra in an ultra-wide bandwidth is developed based …
  arxiv Yanli Zhang, Shanshan Wang, Mingzhu She, Weili Zhang 2022-04-11T14:27:01Z 置信度 0.78 physics.opticseess.SYphysics.app-ph
• Emerging Artificial Intelligence Applications in Spatial Transcriptomics Analysis
  Spatial transcriptomics (ST) has advanced significantly in the last few years. Such advancement comes with the urgent need for novel computational methods to handle the unique challenges of ST data analysis. Many artificial intelligence (AI) methods have been …
  arxiv Yijun Li, Stefan Stanojevic, Lana X. Garmire 2022-03-18T00:21:17Z 置信度 0.78 cs.LGq-bio.GN
• Methods Matter: A Trading Agent with No Intelligence Routinely Outperforms AI-Based Traders
  There's a long tradition of research using computational intelligence (methods from artificial intelligence (AI) and machine learning (ML)), to automatically discover, implement, and fine-tune strategies for autonomous adaptive automated trading in financial m…
  arxiv Dave Cliff, Michael Rollins 2020-11-29T11:55:59Z 置信度 0.78 cs.CE
• Towards a new paradigm of scientific discovery with socialized artificial intelligence
  Scientific discovery has advanced through successive transformations in the organization of knowledge. Observation and experimentation established the empirical foundations of science. Theory made it possible to derive general principles from particular phenom…
  arxiv Xinjie Yao, Xingxin Xu, Xiyuan Gao, Zhoupeng Guo 等 2026-08-03T18:18:39Z 置信度 0.78 cs.AI
• Color in Visual-Language Models: CLIP deficiencies
  This work explores how color is encoded in CLIP (Contrastive Language-Image Pre-training) which is currently the most influential VML (Visual Language model) in Artificial Intelligence. After performing different experiments on synthetic datasets created for t…
  arxiv Guillem Arias, Ramon Baldrich, Maria Vanrell 2025-02-06T19:38:12Z 置信度 0.78 cs.CVcs.AI
• Explainable AI for Fair Sepsis Mortality Predictive Model
  Artificial intelligence supports healthcare professionals with predictive modeling, greatly transforming clinical decision-making. This study addresses the crucial need for fairness and explainability in AI applications within healthcare to ensure equitable ou…
  arxiv Chia-Hsuan Chang, Xiaoyang Wang, Christopher C. Yang 2024-04-19T18:56:46Z 置信度 0.78 cs.LGcs.AI
• The Foundations of Computational Management: A Systematic Approach to Task Automation for the Integration of Artificial Intelligence into Existing Workflows
  Driven by the rapid ascent of artificial intelligence (AI), organizations are at the epicenter of a seismic shift, facing a crucial question: How can AI be successfully integrated into existing operations? To help answer it, manage expectations and mitigate fr…
  arxiv Tamen Jadad-Garcia, Alejandro R. Jadad 2024-02-07T01:45:14Z 置信度 0.78 cs.SEcs.AI
• Shutdown Safety Valves for Advanced AI
  One common concern about advanced artificial intelligence is that it will prevent us from turning it off, as that would interfere with pursuing its goals. In this paper, we discuss an unorthodox proposal for addressing this concern: give the AI a (primary) goa…
  arxiv Vincent Conitzer 2026-03-07T19:19:48Z 置信度 0.78 cs.AIcs.LG
• On the use of artificial intelligence in financial regulations and the impact on financial stability
  Artificial intelligence (AI) can undermine financial stability because of malicious use, misinformation, misalignment, and the AI analytics market structure. The low frequency and uniqueness of financial crises, coupled with mutable and unclear objectives, fru…
  arxiv Jon Danielsson, Andreas Uthemann 2023-10-17T14:16:23Z 置信度 0.78 econ.GNq-fin.RM
• Conceptive Artificial Intelligence: Insights from design theory
  The current paper offers a perspective on what we term conceptive intelligence - the capacity of an agent to continuously think of new object definitions (tasks, problems, physical systems, etc.) and to look for methods to realize them. The framework, called a…
  arxiv Akin Osman Kazakci 2014-04-02T18:06:40Z 置信度 0.78 cs.AI
• Integrated Sensing and Edge AI: Realizing Intelligent Perception in 6G
  Sensing and edge artificial intelligence (AI) are envisioned as two essential and interconnected functions in sixth-generation (6G) mobile networks. On the one hand, sensing-empowered applications rely on powerful AI models to extract features and understand s…
  arxiv Zhiyan Liu, Xu Chen, Hai Wu, Zhanwei Wang 等 2025-01-12T06:25:58Z 置信度 0.78 cs.ITeess.SP
• Scaling Up Deep Neural Network Optimization for Edge Inference
  Deep neural networks (DNNs) have been increasingly deployed on and integrated with edge devices, such as mobile phones, drones, robots and wearables. To run DNN inference directly on edge devices (a.k.a. edge inference) with a satisfactory performance, optimiz…
  arxiv Bingqian Lu, Jianyi Yang, Shaolei Ren 2020-09-01T07:47:22Z 置信度 0.78 cs.LGstat.ML