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• Identifying Student Profiles Within Online Judge Systems Using Explainable Artificial Intelligence
  Online Judge (OJ) systems are typically considered within programming-related courses as they yield fast and objective assessments of the code developed by the students. Such an evaluation generally provides a single decision based on a rubric, most commonly w…
  arxiv Juan Ramón Rico-Juan, Víctor M. Sánchez-Cartagena, Jose J. Valero-Mas, Antonio Javier Gallego 2024-01-29T12:11:30Z 置信度 0.78 cs.CYcs.AI
• Intelligence as Trajectory-Dominant Pareto Optimization
  Despite recent advances in artificial intelligence, many systems exhibit stagnation in long-horizon adaptability despite continued performance optimization. This work argues that such limitations do not primarily arise from insufficient learning, data, or mode…
  arxiv Truong Xuan Khanh, Truong Quynh Hoa 2026-01-28T12:32:08Z 置信度 0.78 cs.AIcs.LG
• Nik Defense: An Artificial Intelligence Based Defense Mechanism against Selfish Mining in Bitcoin
  The Bitcoin cryptocurrency has received much attention recently. In the network of Bitcoin, transactions are recorded in a ledger. In this network, the process of recording transactions depends on some nodes called miners that execute a protocol known as minin…
  arxiv Ali Nikhalat-Jahromi, Ali Mohammad Saghiri, Mohammad Reza Meybodi 2023-01-26T23:30:44Z 置信度 0.78 cs.CRcs.AIcs.DCcs.LG
• Towards A Measure Of General Machine Intelligence
  To build general-purpose artificial intelligence systems that can deal with unknown variables across unknown domains, we need benchmarks that measure how well these systems perform on tasks they have never seen before. A prerequisite for this is a measure of a…
  arxiv Gautham Venkatasubramanian, Sibesh Kar, Abhimanyu Singh, Shubham Mishra 等 2021-09-24T16:59:06Z 置信度 0.78 cs.AIcs.LG
• Artificial Intelligence for UAV-enabled Wireless Networks: A Survey
  Unmanned aerial vehicles (UAVs) are considered as one of the promising technologies for the next-generation wireless communication networks. Their mobility and their ability to establish line of sight (LOS) links with the users made them key solutions for many…
  arxiv Mohamed-Amine Lahmeri, Mustafa A. Kishk, Mohamed-Slim Alouini 2020-09-24T07:11:31Z 置信度 0.78 eess.SPcs.ITcs.LG
• New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution
  The recent high performance of ChatGPT on several standardized academic tests has thrust the topic of artificial intelligence (AI) into the mainstream conversation about the future of education. As deep learning is poised to shift the teaching paradigm, it is …
  arxiv Firuz Kamalov, David Santandreu Calong, Ikhlaas Gurrib 2023-05-12T08:22:54Z 置信度 0.78 cs.CY
• A Novel Approach for Intelligent Robot Path Planning
  Path planning of Robot is one of the challenging fields in the area of Robotics research. In this paper, we proposed a novel algorithm to find path between starting and ending position for an intelligent system. An intelligent system is considered to be a devi…
  arxiv Tirtharaj Dash, Goutam Mishra, Tanistha Nayak 2013-06-19T17:37:08Z 置信度 0.78 cs.RO
• On the independence between phenomenal consciousness and computational intelligence
  Consciousness and intelligence are properties commonly understood as dependent by folk psychology and society in general. The term artificial intelligence and the kind of problems that it managed to solve in the recent years has been shown as an argument to es…
  arxiv Eduardo C. Garrido Merchán, Sara Lumbreras 2022-08-03T16:17:11Z 置信度 0.78 cs.AI
• Artificial Intelligence in Traffic Systems
  Existing research on AI-based traffic management systems, utilizing techniques such as fuzzy logic, reinforcement learning, deep neural networks, and evolutionary algorithms, demonstrates the potential of AI to transform the traffic landscape. This article end…
  arxiv Ritwik Raj Saxena 2024-12-16T18:15:49Z 置信度 0.78 cs.AI
• AI Researchers, Video Games Are Your Friends!
  If you are an artificial intelligence researcher, you should look to video games as ideal testbeds for the work you do. If you are a video game developer, you should look to AI for the technology that makes completely new types of games possible. This chapter …
  arxiv Julian Togelius 2016-12-06T00:46:57Z 置信度 0.78 cs.AI
• Expanding the Scope of Computational Thinking in Artificial Intelligence for K-12 Education
  The introduction of generative artificial intelligence applications to the public has led to heated discussions about its potential impacts and risks for K-12 education. One particular challenge has been to decide what students should learn about AI, and how t…
  arxiv Yasmin Kafai, Shuchi Grover 2026-02-18T21:15:43Z 置信度 0.78 cs.CYcs.HC
• On the stochastics of human and artificial creativity
  What constitutes human creativity, and is it possible for computers to exhibit genuine creativity? We argue that achieving human-level intelligence in computers, or so-called Artificial General Intelligence, necessitates attaining also human-level creativity. …
  arxiv Solve Sæbø, Helge Brovold 2024-03-03T10:38:57Z 置信度 0.78 cs.AI
• A Roadmap for the Development of the "SP Machine" for Artificial Intelligence
  This paper describes a roadmap for the development of the "SP Machine", based on the "SP Theory of Intelligence" and its realisation in the "SP Computer Model". The SP Machine will be developed initially as a software virtual machine with high levels of parall…
  arxiv J Gerard Wolff 2017-06-28T11:01:16Z 置信度 0.78 cs.AI
• An intelligent tutor for planning in large partially observable environments
  AI can not only outperform people in many planning tasks, but it can also teach them how to plan better. A recent and promising approach to improving human decision-making is to create intelligent tutors that utilize AI to discover and teach optimal planning s…
  arxiv Lovis Heindrich, Saksham Consul, Falk Lieder 2023-02-06T13:57:08Z 置信度 0.78 cs.AI
• PassAI: explainable artificial intelligence algorithm for soccer pass analysis using multimodal information resources
  This study developed a new explainable artificial intelligence algorithm called PassAI, which classifies successful or failed passes in a soccer game and explains its rationale using both tracking and passer's seasonal stats information. This study aimed to ad…
  arxiv Ryota Takamido, Jun Ota, Hiroki Nakamoto 2025-03-11T22:47:57Z 置信度 0.78 cs.HC
• Dataset Bias in Human Activity Recognition
  When creating multi-channel time-series datasets for Human Activity Recognition (HAR), researchers are faced with the issue of subject selection criteria. It is unknown what physical characteristics and/or soft-biometrics, such as age, height, and weight, need…
  arxiv Nilah Ravi Nair, Lena Schmid, Fernando Moya Rueda, Markus Pauly 等 2023-01-19T12:33:50Z 置信度 0.78 eess.SPcs.AIcs.LG
• Drift-Aware Temporal Graph Rewiring (DATGR) for Adaptive Semantic Modeling in Biomedical Text
  Biomedical language evolves rapidly as new discoveries emerge, causing traditional text models to lose semantic fidelity over time. Static embeddings and co-occurrence graphs cannot capture such evolution, leading to performance degradation in retrieval and kn…
  arxiv Bharathwaj Vijayakumar, Sahana K. Varadaraju 2026-07-09T13:49:34Z 置信度 0.78 cs.AI
• Generative Artificial Intelligence in Learning Analytics: Contextualising Opportunities and Challenges through the Learning Analytics Cycle
  Generative artificial intelligence (GenAI), exemplified by ChatGPT, Midjourney, and other state-of-the-art large language models and diffusion models, holds significant potential for transforming education and enhancing human productivity. While the prevalence…
  arxiv Lixiang Yan, Roberto Martinez-Maldonado, Dragan Gašević 2023-11-30T07:25:34Z 置信度 0.78 cs.CYcs.AIcs.HC
• Smart Waste Management System for Makkah City using Artificial Intelligence and Internet of Things
  Waste management is a critical global issue with significant environmental and public health implications. It has become more destructive during large-scale events such as the annual pilgrimage to Makkah, Saudi Arabia, one of the world's largest religious gath…
  arxiv Rawabi S. Al Qurashi, Maram M. Almnjomi, Teef L. Alghamdi, Amjad H. Almalki 等 2025-05-25T08:42:13Z 置信度 0.78 cs.ETcs.AIcs.CY
• Artificial Intelligence in Rural Healthcare Delivery: Bridging Gaps and Enhancing Equity through Innovation
  Rural healthcare faces persistent challenges, including inadequate infrastructure, workforce shortages, and socioeconomic disparities that hinder access to essential services. This study investigates the transformative potential of artificial intelligence (AI)…
  arxiv Kiruthika Balakrishnan, Durgadevi Velusamy, Hana E. Hinkle, Zhi Li 等 2025-08-15T17:08:10Z 置信度 0.78 cs.CYcs.AIcs.CV
• On the Use of Skeletons when Learning in Bayesian Networks
  In this paper, we present a heuristic operator which aims at simultaneously optimizing the orientations of all the edges in an intermediate Bayesian network structure during the search process. This is done by alternating between the space of directed acyclic …
  arxiv Harald Steck 2013-01-16T15:52:45Z 置信度 0.78 cs.AI
• Bridging Artificial Intelligence and Power Systems Education Using a Hands-On Executable Framework
  Artificial intelligence (AI) is increasingly central to power and energy systems, supporting modeling, forecasting, optimization, and control. Yet most existing works emphasize specialized applications and offer little reusable material for newcomers or interd…
  arxiv Junjie Yin, Buxin She, Xinyu Feng, Fangxing 等 2026-08-03T17:59:09Z 置信度 0.78 eess.SYcs.AI
• Look: AI at Work! -- Analysing Key Aspects of AI-support at the Work Place
  In this paper we present an analysis of technological and psychological factors of applying artificial intelligence (AI) at the work place. We do so for a number of twelve application cases in the context of a project where AI is integrated at work places and …
  arxiv Stefan Schiffer, Anna Milena Rothermel, Alexander Ferrein, Astrid Rosenthal-von der Pütten 2025-09-02T12:51:23Z 置信度 0.78 cs.HCcs.AI
• Finding the unicorn: Predicting early stage startup success through a hybrid intelligence method
  Artificial intelligence is an emerging topic and will soon be able to perform decisions better than humans. In more complex and creative contexts such as innovation, however, the question remains whether machines are superior to humans. Machines fail in two ki…
  arxiv Dominik Dellermann, Nikolaus Lipusch, Philipp Ebel, Karl Michael Popp 等 2021-05-07T16:16:36Z 置信度 0.78 cs.AIcs.HC
• Image Edge Detection based on Swarm Intelligence using Memristive Networks
  Recent advancements in the development of memristive devices has opened new opportunities for hardware implementation of non-Boolean computing. To this end, the suitability of memristive devices for swarm intelligence algorithms has enabled researchers to solv…
  arxiv Zoha Pajouhi, Kaushik Roy 2016-06-16T23:54:16Z 置信度 0.78 cs.ET
• Artificial intelligence across company borders
  Artificial intelligence (AI) has become a valued technology in many companies. At the same time, a substantial potential for utilizing AI \emph{across} company borders has remained largely untapped. An inhibiting factor concerns disclosure of data to external …
  arxiv Olga Fink, Torbjørn Netland, Stefan Feuerriegel 2021-06-21T11:56:41Z 置信度 0.78 cs.CY
• Explainable Artificial Intelligence driven mask design for self-supervised seismic denoising
  The presence of coherent noise in seismic data leads to errors and uncertainties, and as such it is paramount to suppress noise as early and efficiently as possible. Self-supervised denoising circumvents the common requirement of deep learning procedures of ha…
  arxiv Claire Birnie, Matteo Ravasi 2023-07-13T11:02:55Z 置信度 0.78 physics.geo-phcs.AI
• Distributed Task-Oriented Communication Networks with Multimodal Semantic Relay and Edge Intelligence
  In this article, we present a novel framework, named distributed task-oriented communication networks (DTCN), based on recent advances in multimodal semantic transmission and edge intelligence. In DTCN, the multimodal knowledge of semantic relays and the adapt…
  arxiv Jie Guo, Hao Chen, Bin Song, Yuhao Chi 等 2024-01-18T11:37:43Z 置信度 0.78 eess.SP
• Conversational Alignment with Artificial Intelligence in Context
  The development of sophisticated artificial intelligence (AI) conversational agents based on large language models raises important questions about the relationship between human norms, values, and practices and AI design and performance. This article explores…
  arxiv Rachel Katharine Sterken, James Ravi Kirkpatrick 2025-05-28T22:14:34Z 置信度 0.78 cs.CYcs.CL
• Evolution towards Smart Optical Networking: Where Artificial Intelligence (AI) meets the World of Photonics
  Smart optical networks are the next evolution of programmable networking and programmable automation of optical networks, with human-in-the-loop network control and management. The paper discusses this evolution and the role of Artificial Intelligence (AI).
  arxiv Admela Jukan, Mohit Chamania 2017-07-27T20:16:32Z 置信度 0.78 cs.NI
• Computing as compression: the SP theory of intelligence
  This paper provides an overview of the SP theory of intelligence and its central idea that artificial intelligence, mainstream computing, and much of human perception and cognition, may be understood as information compression. The background and origins of th…
  arxiv J Gerard Wolff 2013-03-08T14:52:24Z 置信度 0.78 cs.AI
• Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction
  The proliferation of demanding applications and edge computing establishes the need for an efficient management of the underlying computing infrastructures, urging the providers to rethink their operational methods. In this paper, we propose an Intelligent Pro…
  arxiv Theodoros Theodoropoulos, John Violos, Stylianos Tsanakas, Aris Leivadeas 等 2023-02-09T00:42:34Z 置信度 0.78 cs.DCcs.AI
• Social Behaviour Understanding using Deep Neural Networks: Development of Social Intelligence Systems
  With the rapid development in artificial intelligence, social computing has evolved beyond social informatics toward the birth of social intelligence systems. This paper, therefore, takes initiatives to propose a social behaviour understanding framework with t…
  arxiv Ethan Lim Ding Feng, Zhi-Wei Neo, Aaron William De Silva, Kellie Sim 等 2021-05-20T03:19:55Z 置信度 0.78 cs.AI
• Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey
  Although the applications of artificial intelligence especially deep learning had greatly improved various aspects of intelligent manufacturing, they still face challenges for wide employment due to the poor generalization ability, difficulties to establish hi…
  arxiv Haotian Zhang, Semujju Stuart Dereck, Zhicheng Wang, Xianwei Lv 等 2023-12-11T02:00:18Z 置信度 0.78 cs.AI
• Toward Gaze Target Detection of Young Autistic Children
  The automatic detection of gaze targets in autistic children through artificial intelligence can be impactful, especially for those who lack access to a sufficient number of professionals to improve their quality of life. This paper introduces a new, real-worl…
  arxiv Shijian Deng, Erin E. Kosloski, Siva Sai Nagender Vasireddy, Jia Li 等 2025-11-14T12:44:06Z 置信度 0.78 cs.CVcs.AI
• The SP theory of intelligence: benefits and applications
  This article describes existing and expected benefits of the "SP theory of intelligence", and some potential applications. The theory aims to simplify and integrate ideas across artificial intelligence, mainstream computing, and human perception and cognition,…
  arxiv J Gerard Wolff 2013-06-13T13:31:47Z 置信度 0.78 cs.AI
• Discovering the curriculum with AI: A proof-of-concept demonstration with an intelligent tutoring system for teaching project selection
  The decisions of individuals and organizations are often suboptimal because fully rational decision-making is too demanding in the real world. Recent work suggests that some errors can be prevented by leveraging artificial intelligence to discover and teach cl…
  arxiv Lovis Heindrich, Falk Lieder 2024-06-06T13:51:44Z 置信度 0.78 cs.AI
• New Insights into Automatic Treatment Planning for Cancer Radiotherapy Using Explainable Artificial Intelligence
  Objective: This study aims to uncover the opaque decision-making process of an artificial intelligence (AI) agent for automatic treatment planning. Approach: We examined a previously developed AI agent based on the Actor-Critic with Experience Replay (ACER) ne…
  arxiv Md Mainul Abrar, Xun Jia, Yujie Chi 2025-08-19T19:38:16Z 置信度 0.78 physics.med-phcs.AI
• Intelligent OPC Engineer Assistant for Semiconductor Manufacturing
  Advancements in chip design and manufacturing have enabled the processing of complex tasks such as deep learning and natural language processing, paving the way for the development of artificial general intelligence (AGI). AI, on the other hand, can be leverag…
  arxiv Guojin Chen, Haoyu Yang, Bei Yu, Haoxing Ren 2024-08-23T00:49:36Z 置信度 0.78 cs.AIcs.AR
• Explainable Artificial Intelligence Model for Evaluating Shear Strength Parameters of Municipal Solid Waste Across Diverse Compositional Profiles
  Accurate prediction of shear strength parameters in Municipal Solid Waste (MSW) remains a critical challenge in geotechnical engineering due to the heterogeneous nature of waste materials and their temporal evolution through degradation processes. This paper p…
  arxiv Parichat Suknark, Sompote Youwaib, Tipok Kitkobsin, Sirintornthep Towprayoon 等 2025-02-20T05:02:55Z 置信度 0.78 cs.LGcs.AI
• Collaborative Orbital Edge Intelligence: A Decentralized Paradigm for Energy-Efficient Computing in Space
  In recent years, Low Earth Orbit (LEO) satellites have been increasingly deployed to enable connectivity in remote and disaster-prone areas. Researchers have proposed Orbital Edge Computing, which adds computational intelligence to LEO satellites to process da…
  arxiv Yuvraj Sahni, Jiannong Cao, Fu Xiao 2026-08-01T07:24:42Z 置信度 0.78 cs.DC
• Bringing Order Amidst Chaos: On the Role of Artificial Intelligence in Secure Software Engineering
  Context. Developing secure and reliable software remains a key challenge in software engineering (SE). The ever-evolving technological landscape offers both opportunities and threats, creating a dynamic space where chaos and order compete. Secure software engi…
  arxiv Matteo Esposito 2025-01-09T11:38:58Z 置信度 0.78 cs.SEcs.AIcs.CLcs.CRcs.ET
• The Misclassification of Autistic Writing as AI-Generated
  Recent findings suggest that detection models for artificial intelligence (AI) cannot accurately identify AI-generated text and may exhibit bias against certain minority groups. In the present study, anecdotal claims that autistic writers more often have their…
  arxiv Summer Chambers, Matthew C. Kelley 2026-07-16T08:54:09Z 置信度 0.78 cs.CLcs.AIcs.HC
• Using Deep Learning and Explainable Artificial Intelligence in Patients' Choices of Hospital Levels
  In countries that enabled patients to choose their own providers, a common problem is that the patients did not make rational decisions, and hence, fail to use healthcare resources efficiently. This might cause problems such as overwhelming tertiary facilities…
  arxiv Lichin Chen, Yu Tsao, Ji-Tian Sheu 2020-06-24T02:15:15Z 置信度 0.78 cs.CYcs.AIcs.LG
• CoDrone: Autonomous Drone Navigation Assisted by Edge and Cloud Foundation Models
  Autonomous navigation for Unmanned Aerial Vehicles faces key challenges from limited onboard computational resources, which restrict deployed deep neural networks to shallow architectures incapable of handling complex environments. Offloading tasks to remote e…
  arxiv Pengyu Chen, Tao Ouyang, Ke Luo, Weijie Hong 等 2025-12-22T06:48:12Z 置信度 0.78 cs.RO
• A Review of Artificial Intelligence in Brachytherapy
  Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in facilitating various aspects of brachytherapy. We …
  arxiv Jingchu Chen, Richard Qiu, Tonghe Wang, Shadab Momin 等 2024-09-25T01:37:14Z 置信度 0.78 physics.med-ph
• Optimizing AI Service Placement and Resource Allocation in Mobile Edge Intelligence Systems
  Leveraging recent advances on mobile edge computing (MEC), edge intelligence has emerged as a promising paradigm to support mobile artificial intelligence (AI) applications at the network edge. In this paper, we consider the AI service placement problem in a m…
  arxiv Zehong Lin, Suzhi Bi, Ying-Jun Angela Zhang 2020-11-11T11:23:13Z 置信度 0.78 cs.NI
• Artificial Intelligence-based algorithms in medical image scan seg-mentation and intelligent visual-content generation -- a concise overview
  Recently, Artificial Intelligence (AI)-based algorithms have revolutionized the medical image segmentation processes. Thus, the precise segmentation of organs and their lesions may contribute to an efficient diagnostics process and a more effective selection o…
  arxiv Zofia Rudnicka, Janusz Szczepanski, Agnieszka Pregowska 2024-01-18T10:12:50Z 置信度 0.78 q-bio.NC
• The GenAI Catch-22: Use of Generative Artificial Intelligence in Norwegian Newsrooms During the 2025 Parliamentary Election
  The increasing use of Generative Artificial Intelligence (GenAI) in journalism raises concerns about possible detrimental effects both on journalism and its democratic function. We explore these risks through a case study of GenAI in Norwegian Newsrooms during…
  arxiv Mari Reisjå, Anders Sundnes Løvlie 2026-08-11T10:27:12Z 置信度 0.78 cs.CYcs.AI
• Citation-Enforced RAG for Fiscal Document Intelligence: Cited, Explainable Knowledge Retrieval in Tax Compliance
  Tax authorities and public-sector financial agencies rely on large volumes of unstructured and semi-structured fiscal documents - including tax forms, instructions, publications, and jurisdiction-specific guidance - to support compliance analysis and audit wor…
  arxiv Akhil Chandra Shanivendra 2026-03-11T20:01:35Z 置信度 0.78 cs.IRcs.AIcs.CL
• Artificial intelligence in medicine and healthcare: a review and classification of current and near-future applications and their ethical and social Impact
  This paper provides an overview of the current and near-future applications of Artificial Intelligence (AI) in Medicine and Health Care and presents a classification according to their ethical and societal aspects, potential benefits and pitfalls, and issues t…
  arxiv Emilio Gómez-González, Emilia Gomez, Javier Márquez-Rivas, Manuel Guerrero-Claro 等 2020-01-22T15:39:42Z 置信度 0.78 cs.CYcs.AI
• Revisiting the Performance of Generative Artificial Intelligence on Introductory Object-Oriented Programming Assessments: Insights from 2026
  Recent advances in Generative Artificial Intelligence (GenAI) have substantially improved the ability of large language models (LLMs) to generate and explain source code. However, their performance on authentic object-oriented programming (OOP) assessments rem…
  arxiv Marina Lepp, Joosep Kaimre 2026-08-17T09:24:28Z 置信度 0.78 cs.SEcs.AIcs.PF
• Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement Learning
  Practical uses of Artificial Intelligence (AI) in the real world have demonstrated the importance of embedding moral choices into intelligent agents. They have also highlighted that defining top-down ethical constraints on AI according to any one type of moral…
  arxiv Elizaveta Tennant, Stephen Hailes, Mirco Musolesi 2023-01-20T09:36:42Z 置信度 0.78 cs.MAcs.AIcs.LG
• Enhancing Green Economy with Artificial Intelligence: Role of Energy Use and FDI in the United States
  The escalating challenge of climate change necessitates an urgent exploration of factors influencing carbon emissions. This study contributes to the discourse by examining the interplay of technological, economic, and demographic factors on environmental susta…
  arxiv Abdullah Al Abrar Chowdhury, Azizul Hakim Rafi, Adita Sultana, Abdulla All Noman 2024-12-20T03:03:21Z 置信度 0.78 econ.GNcs.AI
• Mining useful Macro-actions in Planning
  Planning has achieved significant progress in recent years. Among the various approaches to scale up plan synthesis, the use of macro-actions has been widely explored. As a first stage towards the development of a solution to learn on-line macro-actions, we pr…
  arxiv Sandra Castellanos-Paez, Damien Pellier, Humbert Fiorino, Sylvie Pesty 2018-10-22T09:05:57Z 置信度 0.78 cs.AI
• Future Artificial Intelligence tools and perspectives in medicine
  Purpose of review: Artificial intelligence (AI) has become popular in medical applications, specifically as a clinical support tool for computer-aided diagnosis. These tools are typically employed on medical data (i.e., image, molecular data, clinical variable…
  arxiv Ahmad Chaddad, Yousef Katib, Lama Hassan 2022-06-04T11:27:43Z 置信度 0.78 cs.LGeess.IVq-bio.QM
• EmotionAI: A Privacy-Preserving Computational Intelligence Pipeline for Speech-Emotion-Grounded Conversational Analysis
  Reviewing recorded interviews for affective cues such as composure and agitation is slow and subjective, and cloud services that could automate the task require sensitive audio to leave the device. EmotionAI is a fully local Computational Intelligence (CI) pip…
  arxiv Wai Laam Mak, Isibor Kennedy Ihianle, Pedro Machado 2026-06-22T20:45:49Z 置信度 0.78 cs.SDcs.AI
• What is an intelligent system?
  The term intelligent system has emerged in the field of information technology as a category of computer systems derived from successful applications of artificial intelligence. This paper proposes a general description that identifies the main properties and …
  arxiv Martin Molina 2020-08-31T21:23:49Z 置信度 0.78 cs.CYcs.AI
• Toward a Physical Theory of Intelligence
  While often treated as abstract algorithmic properties, intelligence and computation are ultimately physical processes constrained by conservation laws. We introduce the Conservation-Congruent Encoding (CCE) framework as a unified, substrate-neutral physical f…
  arxiv Peter David Fagan 2025-12-22T20:40:27Z 置信度 0.78 cs.AI
• SUDO: a framework for evaluating clinical artificial intelligence systems without ground-truth annotations
  A clinical artificial intelligence (AI) system is often validated on a held-out set of data which it has not been exposed to before (e.g., data from a different hospital with a distinct electronic health record system). This evaluation process is meant to mimi…
  arxiv Dani Kiyasseh, Aaron Cohen, Chengsheng Jiang, Nicholas Altieri 2024-01-02T18:12:03Z 置信度 0.78 cs.LGcs.AIcs.CY
• BotSim: Mitigating The Formation Of Conspiratorial Societies with Useful Bots
  Societies can become a conspiratorial society where there is a majority of humans that believe, and therefore spread, conspiracy theories. Artificial intelligence gave rise to social media bots that can spread conspiracies in an automated fashion. Currently, o…
  arxiv Lynnette Hui Xian Ng, Kathleen M. Carley 2026-01-06T06:26:46Z 置信度 0.78 cs.CYcs.AIcs.SI
• What is it like to program with artificial intelligence?
  Large language models, such as OpenAI's codex and Deepmind's AlphaCode, can generate code to solve a variety of problems expressed in natural language. This technology has already been commercialised in at least one widely-used programming editor extension: Gi…
  openalex Advait Sarkar, Andrew Gordon, Carina Negreanu, Christian Poelitz 等 2022-08-12 置信度 0.72 Computer scienceProgrammerProgramming paradigmProgramming languageUsability
• Artificial intelligence in retinal disease: clinical application, challenges, and future directions
  Retinal diseases are a leading cause of blindness in developed countries, accounting for the largest share of visually impaired children, working-age adults (inherited retinal disease), and elderly individuals (age-related macular degeneration). These conditio…
  openalex Malena Daich Varela, Sagnik Sen, Thales A. C. de Guimarães, Nathaniel Kabiri 等 2023-05-09 置信度 0.72 Macular degenerationRetinopathy of prematurityDiseaseMedicineDiabetic retinopathy
• Artificial Intelligence for Management of Variable Renewable Energy Systems: A Review of Current Status and Future Directions
  This review paper provides a summary of methods in which artificial intelligence (AI) techniques have been applied in the management of variable renewable energy (VRE) systems, and an outlook to future directions of research in the field. The VRE types include…
  openalex Latifa A. Yousef, Hibba Yousef, Lisandra Rocha‐Meneses 2023-12-14 置信度 0.72 Computer scienceRenewable energyVariable renewable energyEnergy managementApplications of artificial intelligence
• Artificial intelligence (AI) in restorative dentistry: current trends and future prospects
  BACKGROUND: Artificial intelligence (AI) holds immense potential in revolutionizing restorative dentistry, offering transformative solutions for diagnostic, prognostic, and treatment planning tasks. Traditional restorative dentistry faces challenges such as cl…
  openalex Mariya Najeeb, Shahid Islam 2025-04-18 置信度 0.72 Oral and maxillofacial surgeryMedicineCurrent (fluid)DentistryRestorative dentistry
• Voice-activated change: Marketing in the age of artificial intelligence and virtual assistants
  The Internet of Things promises to make relationships with technology more personal than ever. Voice-controlled virtual or artificial intelligence assistants such as Amazon’s Alexa or Google Assistant execute the commands of their users, providing information,…
  openalex Valerie K. Jones 2018-12-01 置信度 0.72 Computer sciencePsychologyBusinessMarketingHuman–computer interaction
• The Why, What, and How of Artificial General Intelligence Chip Development
  The AI chips increasingly focus on implementing neural computing at low power and cost. The intelligent sensing, automation, and edge computing applications have been the market drivers for AI chips. Increasingly, the generalisation, performance, robustness, a…
  openalex Alex Pappachen James 2021-03-30 置信度 0.72 Computer scienceScalabilityArtificial intelligenceImplementationAutomation
• Healthcare Trust Evolution with Explainable Artificial Intelligence: Bibliometric Analysis
  Recent developments in IoT, big data, fog and edge networks, and AI technologies have had a profound impact on a number of industries, including medical. The use of AI for therapeutic purposes has been hampered by its inexplicability. Explainable Artificial In…
  openalex Pummy Dhiman, Anupam Bonkra, Amandeep Kaur, Yonis Gulzar 等 2023-10-03 置信度 0.72 ScopusHealth careField (mathematics)Computer scienceData science
• An Introduction to Artificial Intelligence and Machine Learning for Online Education
  openalex Changling Peng, Xuanyu Zhou, Shuai Liu 2022-03-18 置信度 0.72 Computer scienceArtificial intelligenceMachine learning
• Artificial Intelligence and Blockchain Technology in Insurance Business
  openalex Shakil Ahmad, Charu Saxena 2023-01-01 置信度 0.72 BlockchainFinancial servicesBusinessTransparency (behavior)Reputation
• Artificial intelligence (AI) technology, its applications and the use of AI powered devices in hospitality service experience creation and delivery
  openalex Doğan Gürsoy 2025-03-30 置信度 0.72 HospitalityHospitality industryService (business)BusinessEngineering management
• Artificial Intelligence of Things for Next-Generation Predictive Maintenance
  Industry 5.0 introduces a shift toward human-centric, sustainable, and resilient industrial ecosystems, emphasizing intelligent automation, collaboration, and adaptive operations. Predictive Maintenance (PdM) plays a critical role in this transition, addressin…
  openalex Taimia Bitam, Abdelouahab Yahiaoui, Djallel Eddine Boubiche, Rafael Martínez-Peláez 等 2025-12-16 置信度 0.72 Predictive maintenanceIndustry 4.0ImplementationComputer scienceBridging (networking)
• Recent Advances in Artificial Intelligence and Wearable Sensors in Healthcare Delivery
  Artificial intelligence (AI) and wearable sensors are gradually transforming healthcare service delivery from the traditional hospital-centred model to the personal-portable-device-centred model. Studies have revealed that this transformation can provide an in…
  openalex Sahalu Balarabe Junaid, Abdullahi Abubakar Imam, Muhammad Abdulkarim, Yusuf Alhaji Surakat 等 2022-10-12 置信度 0.72 Vital signsWearable computerHealth careWearable technologyComputer science
• Sustainable Deep Learning at Grid Edge for Real-Time High Impedance Fault Detection
  High impedance faults (HIFs) on overhead power lines are known to cause fires. They are difficult to detect using conventional protection relays because the fault current is insufficient to cause tripping. The delay in detecting HIFs can result in severe bushf…
  openalex Tharmakulasingam Sirojan, Shibo Lu, B.T. Phung, Daming Zhang 等 2018-11-07 置信度 0.72 Computer scienceFault detection and isolationReal-time computingEmbedded systemDeep learning
• How does artificial intelligence impact human resources performance. evidence from a healthcare institution in the United Arab Emirates
  This study aims to explore the impact of the implementation of artificial intelligence (AI) in the healthcare sector on overall human resource (HR) practices and organizational performance. We seek to highlight the added value that adopting AI techniques in hu…
  openalex Peigong Li, Anna Bastone, Talal Ali Mohamad, Francesco Schiavone 2023-02-08 置信度 0.72 Health careHuman resourcesKnowledge managementHuman resource managementBusiness
• Confluence of Machine Learning with Edge Computing for IoT Accession
  Abstract Every day, the estimated volume of data which is generated per day is 2.6 quintillion bytes. From the last two years, there is a lot of data generation and execution is taking rise due to feasible technologies and devices. To make the information acce…
  openalex Khaja Mannanuddin, Srinivas Aluvala, Yerram Sneha, Eelandula Kumaraswamy 等 2020-12-01 置信度 0.72 Computer scienceData centerByteEnhanced Data Rates for GSM EvolutionArtificial intelligence
• Future of Artificial Intelligence in Surgery: A Narrative Review
  Artificial intelligence (AI) is the capability of a machine to execute cognitive processes that are typically considered to be functions of the human brain. It is the study of algorithms that enable machines to reason and perform mental tasks, including proble…
  openalex Aamir Amin, Swizel Ann Cardoso, Jenisha Suyambu, Hafiz Abdus Saboor 等 2024-01-04 置信度 0.72 Variety (cybernetics)NarrativeArtificial intelligenceHealth careCognition
• An Electromagnetic Perspective of Artificial Intelligence Neuromorphic Chips
  The emergence of artificial intelligence has represented great potential in solving a wide range of complex problems. However, traditional general-purpose chips based on von Neumann architectures face the “memory wall” problem when applied in artificial intell…
  openalex Er‐Ping Li, Hanzhi Ma, Manareldeen Ahmed, Tuomin Tao 等 2023-09-01 置信度 0.72 Neuromorphic engineeringComputer scienceVon Neumann architectureComputer architectureCMOS
• Machine intelligence and the data-driven future of marine science
  Abstract Oceans constitute over 70% of the earth's surface, and the marine environment and ecosystems are central to many global challenges. Not only are the oceans an important source of food and other resources, but they also play a important roles in the ea…
  openalex Ketil Malde, Nils Olav Handegard, Line Eikvil, Arnt-Børre Salberg 2019-03-12 置信度 0.72 BottleneckData scienceComputer scienceBig dataResource (disambiguation)
• Artificial Intelligence (AI) Equipped Edge Internet of Things (IoT) Devices in Security
  With today&s;s military and defense technology, artificial intelligence (AI) is a key component. Target discrimination is the process to analyze the buildup of enemy forces, which makes use of numerous tools like Synthetic Aperture Radar (SAR), which is one of…
  openalex Nikita Agrawal, Aakansha Saxena 2024-01-10 置信度 0.72 Internet of ThingsEnhanced Data Rates for GSM EvolutionComputer scienceComputer securityEdge computing
• Efficient Transformer Inference for Extremely Weak Edge Devices Using Masked Autoencoders
  crossref Tao Liu, Peng Li, Yu Gu, Peng Liu 2023-10-23T17:54:10Z 置信度 0.70
• Image-data compression using edge-optimizing algorithm for WFA inference
  crossref Karel Culik, Jarkko Kari 2002-10-08T18:03:55Z 置信度 0.70
• Calibration-Aided Edge Inference Offloading via Adaptive Model Partitioning of Deep Neural Networks
  crossref Roberto G. Pacheco, Rodrigo S. Couto, Osvaldo Simeone 2021-08-06T20:49:21Z 置信度 0.70
• Coral: Covariance-Guided Resource Adaptive Learning for Efficient Edge Inference
  crossref Ahmad N. L. Nabhaan, Zaki Sukma, Rakandhiya D. Rachmanto, Muhammad Husni Santriaji 等 2026-07-29T19:14:00Z 置信度 0.70
• BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems
  crossref Jiawei Shao, Jun Zhang 2020-07-21T21:24:43Z 置信度 0.70
• TAILOR: Token-Aware Partitioning and Routing for Edge–Cloud Transformer Inference
  crossref Xiaoyao Huang, Remington R. Liu, Jie Wu 2026-08-26T19:10:43Z 置信度 0.70
• Towards Enabling Dynamic Convolution Neural Network Inference for Edge Intelligence
  crossref Adewale Adeyemo, Travis Sandefur, Tolulope A. Odetola, Syed Rafay Hasan 2022-11-11T20:38:08Z 置信度 0.70
• Adaptive Edge Inference Scheduling under Dynamic Network Conditions
  crossref Mark Kotys, Yijie Zhang, Chase Q. Wu, Gil Einziger 等 2026-08-27T19:14:55Z 置信度 0.70
• Inference Latency Prediction Approaches Using Statistical Information for Object Detection in Edge Computing
  To seamlessly deliver artificial intelligence (AI) services using object detection, both inference latency from a system perspective as well as inference accuracy should be considered important. Although edge computing can be applied to efficiently operate the…
  crossref Gyuyeol Kong, Yong-Geun Hong 2023-08-14T11:07:10Z 置信度 0.70
• Adaptive Distributed Convolutional Neural Network Inference at the Network Edge with ADCNN
  crossref Sai Qian Zhang, Jieyu Lin, Qi Zhang 2020-08-09T03:54:26Z 置信度 0.70
• End-Edge Coordinated Inference for Real-Time BYOD Malware Detection using Deep Learning
  crossref Xinrui Tan, Hongjia Li, Liming Wang, Zhen Xu 2020-06-19T20:48:26Z 置信度 0.70
• Research on Lightweight Deep Neural Network Edge Inference Algorithm for Smart IoT Terminals
  crossref Zhen Fan, Feng Xu 2026-06-23T19:42:54Z 置信度 0.70
• Real-Time Video Inference on Edge Devices via Adaptive Model Streaming
  crossref Mehrdad Khani, Pouya Hamadanian, Arash Nasr-Esfahany, Mohammad Alizadeh 2022-02-28T17:08:02Z 置信度 0.70
• Hybrid Intelligence modeling of cut edge quality for Mn-Mo in laser machining by adaptive neuro-fuzzy inference system (ANFIS)
  crossref Sivarao 2008-10-28T15:22:29Z 置信度 0.70
• CoInfer: Breaking the Resource Wall for Collaborative Edge Inference
  crossref Yongmin Zhang, Mingyi Dong, Jinrui Zhang, Pengyu Huang 等 2026-08-26T19:12:24Z 置信度 0.70
• Exploring In-Memory Accelerators and FPGAs for Latency-Sensitive DNN Inference on Edge Servers
  crossref Ali Suvizi, Suresh Subramaniam, Tian Lan, Guru Venkataramani 2024-08-14T13:31:20Z 置信度 0.70
• Priority-Aware Model-Distributed Inference at Edge Networks
  crossref Teng Li, Hulya Seferoglu 2025-09-03T17:49:08Z 置信度 0.70
• Causal Influence in Federated Edge Inference
  crossref Mert Kayaalp, Yunus İnan, Visa Koivunen, Ali H. Sayed 2024-11-28T19:03:11Z 置信度 0.70
• A Deep Learning Approach to Sensor Fusion Inference at the Edge
  crossref T. Becnel, P-E. Gaillardon 2021-08-24T22:11:46Z 置信度 0.70
• Real-Time Inference for IIoT Using Distributed Low-Power Edge Clusters
  crossref Dinesh Kumar Sah, Maryam Vahabi, Hossein Fotouhi 2025-12-08T18:38:54Z 置信度 0.70