AI Agent 生态 · 全部实体（第 67 / 100 页）

本页收录第 6601–6700 条，共 10000 条 · 返回 AI Agent 生态 首页

• Introducing Human–AI Teaming
  This chapter discusses the motivation for human–AI teaming, defining this concept and its relationship with artificial intelligence (AI). The chapter acknowledges the fact that J.C.R. Licklider and Walen Clark promoted the human–AI teaming concept shortly afte…
  crossref Michael E. Miller, Christina F. Rusnock 2024-07-02T15:31:02Z 置信度 0.70
• AI-Based Voice Agent for Automated Sales Calls
  This paper presents an AI-based voice agent designed to enhance customer engagement in automated sales. Operating continuously, the agent leverages the power of Large Language Models (LLMs) to interact with potential customers, persuading them to purchase prod…
  crossref Ahmed Amarak, Mohamed Igamane, Tajjeeddine Rachidi, Yousra Chtouki 2025-01-17T18:31:29Z 置信度 0.70
• Your First Agent App
  In this chapter, we will explore intelligent autonomous agents and learn how to create them using the LangChain framework. We will start by understanding the fundamental concepts of agents, their key features, and their thought processes. Then, we will build a…
  crossref Rabi Jay 2024-12-26T09:58:16Z 置信度 0.70
• AI-Driven Dialogue: Leveraging Generative AI in Conversational Agent Voting Advice Applications (CAVAAs)
  crossref Thilo I. Dieing 2025-04-05T12:34:27Z 置信度 0.70
• Trusting Your AI Agent Emotionally and Cognitively: Development and Validation of a Semantic Differential Scale for AI Trust
  Trust is not just a cognitive issue but also an emotional one, yet the research in human-AI interactions has primarily focused on the cognitive route of trust development. Recent work has highlighted the importance of studying affective trust towards AI, espec…
  crossref Ruoxi Shang, Gary Hsieh, Chirag Shah 2024-11-19T20:56:02Z 置信度 0.70
• An agent-based approach to the limits of economic planning
  Abstract Mises’ and Hayek’s arguments against central economic planning have long been taken as definitive proof that a centrally planned economy managed by the government would be impossible. Today, however, the exponential rise in the capacities of AI has op…
  crossref Emanuele Martinelli 2024-09-24T11:03:34Z 置信度 0.70
• Earned Authority Agent Competency Intelligence and the Agent Earned Authority Score for Governed AI Agents
  Enterprises are assigning operational authority to AI agents faster than those agents can earn it. The instruments used to justify these assignments, benchmark scores and task-completion dashboards, measure what an agent did under test conditions, not whether …
  crossref Surendra Reddy 2026-08-16T23:19:27Z 置信度 0.70
• AI as decision aid or delegated agent: The effects of trust dimensions on the adoption of AI digital agents
  AI digital agents may act as decision-aid or as delegated agents. A decision-aid agent helps a user make decisions, whereas a delegated agent makes decisions on behalf of the consumer. The study determines the factors affecting the adoption intention of AI dig…
  crossref Aman Pathak, Veena Bansal 2024-10-09T12:12:54Z 置信度 0.70
• Review for "Masgent: An AI-assisted Materials Simulation Agent"
  crossref 2026-04-17T21:06:04Z 置信度 0.70
• Economic Expectations and an AI Agent
  The paper presents the cutting-edge approaches to economic expectations that originate in the field of computational intelligence. Firstly, the AI-based expectation concepts are situated within the long-standing debate about expectation formation in economics.…
  crossref Ekaterina Svetlova 2023-03-13T14:15:16Z 置信度 0.70
• Research on Complex Control of Internet of Things Based on AI Agent Technology
  With the development and widespread application of IoT technology, there are problems affecting the performance of IoT databases, such as high dimensionality of database parameters and difficulty in parameter classification. This article focuses on the problem…
  openalex Yulou Li, Zhangzhi Tao, Youfu Li 2024-09-06 置信度 0.72 Computer scienceThe InternetControl (management)Internet of ThingsArtificial intelligence
• Creating a "Ready-to-Use" AI Agent for Navigating Digital Platform to Enhance Collaborative Efficiency
  The study aims to address the prevalent issue of navigation inefficiency within digital collaboration platforms, a critical factor affecting user productivity and satisfaction. This paper identifies research gaps and highlights the potential of multimodal AI A…
  crossref Yiting Qiu, SiYuan Chen, Leong Wai Yie 2024-08-05T01:37:22Z 置信度 0.70
• Werewolf Game Agent by Generative AI Incorporating Logical Information Between Players
  In recent years, AI models based on GPT have advanced rapidly.These models are capable of generating text, translating between different languages, and answering questions with high accuracy.However, the process behind their outputs remains a black box, making…
  crossref Neo Watanabe, Yoshinobu Kano 2025-06-07T12:33:56Z 置信度 0.70
• Review for "Masgent: An AI-assisted Materials Simulation Agent"
  crossref 2026-04-17T21:06:04Z 置信度 0.70
• Review for "Masgent: An AI-assisted Materials Simulation Agent"
  crossref 2026-04-17T21:06:04Z 置信度 0.70
• Vertex AI Agent Builder for Regulated Environments
  Healthcare, government, and financial sectors have tried to use A.I. their efforts met with various difficulties in compliance, data governance, and explainability, among other issues. The company does not only deliver a powerful and expandable infrastructural…
  crossref Rohit Reddy Gaddam 2026-02-26T14:05:22Z 置信度 0.70
• FinVision: A Multi-Agent Framework for Stock Market Prediction
  Financial trading has been a challenging task, as it requires the integration of vast amounts of data from various modalities. Traditional deep learning and reinforcement learning methods require large training data and often involve encoding various data type…
  crossref Sorouralsadat Fatemi, Yuheng Hu 2024-11-14T06:38:06Z 置信度 0.70
• Generative AI in Responsible Conversational Agent Integration: Guidelines for Service Managers
  Responsible integration of conversational agents (CAs) like chatbots is crucial for service firms to mitigate risks and foster positive outcomes. This article provides managerial guidelines through a Corporate Digital Responsibility (CDR) lens, focusing on CDR…
  crossref Karim Sidaoui, Dominik Mahr, Gaby Odekerken-Schröder 2024-04-04T08:33:37Z 置信度 0.70
• Design of an Autonomous Cyber Defence Agent using Hybrid AI models
  This paper extends the design of an autonomous cyber defence (ACD) agent to monitor and actuate within a protected core network segment. The goal is to take advantage of recent developments in AI models to define a hybrid architecture that combines deep reinfo…
  crossref Johannes F Loevenich, Erik Adler, Rémi Mercier, Alexander Velazquez 等 2024-07-08T17:28:56Z 置信度 0.70
• Ansae: An Ai-Native Saas Manufacturing and Management Platform Based on Llm and Multi-Agent Clustering System
  crossref Hongzhi Chen, X Lin, B Gong 2024-04-16T03:48:35Z 置信度 0.70
• Towards a Docker-based architecture for open multi-agent systems
  <p>In open multi-agent systems (OMAS), heterogeneous agents in different environments or models can migrate from one system to another, taking their attributes and knowledge and increasing developing complexity compared to conventional multi-agent system…
  crossref Gustavo Lameirão de Lima, Marilton Sanchotene de Aguiar 2023-11-30T18:21:28Z 置信度 0.70
• Methodology for Quality Assurance Testing of LLM-based Multi-Agent Systems
  crossref Isha Shamim, Rekha Singhal 2025-03-05T11:49:51Z 置信度 0.70
• Understanding Complex Socio-Environmental Systems with Spatial Agent-Based Models
  Our increasingly connected world is faced with complex socio-environmental problems (e.g., biodiversity loss, climate change, and food insecurity). Tackling these problems requires cross- disciplinary approaches that examine the problems based on synergistic s…
  crossref Rebecca Vandewalle, Alexander Michels, Furqan Baig, Shaowen Wang 2024-11-11T16:12:22Z 置信度 0.70
• Integrating Clustering with Overlaps into Intelligent Agent Systems
  Advances in Large Language Modeling (LLM) have allowed LLMs to be integrated into multi-agent problem-solving systems. We present a novel approach to enhance this technique and incorporate it, and some of its practical variants, into an intelligent agent syste…
  crossref Peter Shaw, Joseph R. Barr, Stephen Lean, Faisal N. Abu-Khzam 2024-12-03T18:55:24Z 置信度 0.70
• Enhancing Campus Navigation: A Conversational AI Agent for Location Assistance
  Chatbots are "chat robots" that deliver extremely engaging, conversational experiences via voice and text and maybe modified and used on mobile devices, web browsers, and popular chat platforms. Chatbots are designed and educated with artificial intelligence or …
  crossref Ritawari Pareek, Divyansh Chauhan, Sonal Tuteja, Kapil Madan 2024-10-28T18:30:43Z 置信度 0.70
• Enhancing Financial Question Answering with a Multi-Agent Reflection Framework
  While Large Language Models (LLMs) have shown impressive capabilities in numerous Natural Language Processing (NLP) tasks, they still struggle with financial question answering (QA), particularly when numerical reasoning is required. Recently, LLM-based multi-…
  crossref Sorouralsadat Fatemi, Yuheng Hu 2024-11-14T06:38:06Z 置信度 0.70
• Event-triggered H_∞ Consensus of Leader-follower Multi-agent Systems
  This paper discusses the $H_{\infty}$ consensus problem of leader-follower multi-agent systems. The controller for each agent is crafted to utilize comprehensive information from all connected agents, while an innovative event-triggered strategy is incorporate…
  crossref Cheng Gong, Chenguang Ai, Xuemin Zuo, Zhuang Ma 等 2024-09-17T18:46:36Z 置信度 0.70
• The virtual driving instructor: Multi‐agent system collaborating via knowledge graph for scalable driver education
  Abstract This work introduces the design, development, and deployment of a virtual driving instructor (VDI) for enhanced driver education. The VDI provides personalized, real‐time feedback to students in a driving simulator, addressing some of the limitations …
  crossref Johannes Rehm, Irina Reshodko, Stian Zimmermann Børresen, Odd Erik Gundersen 2024-10-18T07:15:55Z 置信度 0.70
• Zero-Trust Agent Gateway: Identity-Centric Access Control for Multi-Actor AI Ecosystems Aligned with SASE Principles
  Contemporary AI agent platforms operate across hostile multi-actor environments in which traditional perimeter-based security controls offer inadequate protection. Agents, KOL accounts, brand wallets, and third-party protocol integrations form a distributed tr…
  crossref Ibtihajul Islam, Dr. Kashif Saleem 2026-03-18T18:19:02Z 置信度 0.70
• Causally Driven Hierarchies for Feudal Multi-agent Reinforcement Learning
  crossref Priyam Dalmia, Joseph West 2024-11-23T18:47:23Z 置信度 0.70
• Adding an AI Agent to a Principal-Agent Model: Implications for Task Assignment, Compensation, and Review
  AI agents are changing how humans work in organizations. This paper adds an AI agent to a canonical (human) principal-agent model. The human agent is subject to moral hazard and must be motivated through noisy performance measures. The AI agent does what it is…
  crossref Henry L. Friedman 2026-08-22T04:45:32Z 置信度 0.70
• Creating advanced photonics AI assistants
  crossref 2024-05-29T13:15:55Z 置信度 0.70
• Neuromorphic Digital-Twin for Multi-Agent System Control Using Spiking Neural Networks
  Recent advances in multi-agent systems (MAS) have highlighted the increasing demand for safety through predictability amidst environmental uncertainties and the need for reliable autonomy. This study proposes a neuromorphic digital twin (DT) strategy for MAS, …
  crossref Reza Ahmadvand, Sarah Safura Sharif, Yaser Mike Banad 2024-12-03T18:55:24Z 置信度 0.70
• Unit Test Generation Multi-Agent AI System for Enhancing Software Documentation and Code Coverage
  Software development necessitates a robust testing plan though test development can be laborious and nonappealing task. We explore the utilization of the application artificial intelligence agents for generating and executing unit tests, enhancing the “Mostly …
  crossref Dimitrije Stojanović, Bogdan Pavković, Nenad Četić, Momčilo Krunić 等 2025-01-02T19:17:32Z 置信度 0.70
• Enhancing Sustainability in Academic Guidance: Develop an AI-Driven Agent for Education 5.0
  This study aims to develop a Multimodal Artificial Intelligence (AI) Agent named "Academic Quick Guide", specifically designed for academic guidance in the Education 5.0 era. By utilizing generative AI techniques and following Design Science Research Methodolo…
  crossref Qiu Yiting, Munir Hayet Khan, Zhu Shuqing, Chen SiYuan 等 2024-11-04T02:35:03Z 置信度 0.70
• Pervasive Teledildonics: How AI Aims to Impact Human sexuality
  Since the Covid-19 pandemic, sexual technology sales have increased all over the world, especially for devices allowing users to connect with each other or the internet. The convergence of sexualtechnology with pervasivecomputing and artificial intelligence (A…
  crossref Émile Chabot, Emily Jaworski, Patrice Renaud 2025-05-05T17:52:01Z 置信度 0.70
• A Multi-Agent Trust Framework for Fusing Subjective Opinions with Imperfect Understanding in Space Domain Awareness Using the Scruff AI Framework
  crossref Matthew Wilkins, Sanja Cvijic, Weston Faber 2026-02-25T20:57:22Z 置信度 0.70
• Real Estate with AI: An agent based on LangChain
  Recent developments in large language models (LLMs) have opened new avenues for the real estate industry. These models not only understand language but also function as intelligent agents, engaging with investors through open-ended conversations and influencin…
  crossref Kasper Raupach Haurum, Ruiqi Ma, Wen Long 2024-08-23T03:31:25Z 置信度 0.70
• Mind and Body: Dimensions of Mind Perception Across Agent Types in Human-Agent Interaction
  crossref Kashyap Haresamudram 2025-03-24T23:44:39Z 置信度 0.70
• Adaptive Decision-Making for Emergency Monitoring Task Migration: Delay Risk Control and Multi-Agent Reinforcement Learning
  Abstract The timely and reliable handling of post-disaster emergency monitoring tasks is crucial for effective rescue operations. UAV-assisted edge computing plays a pivotal role in the rapid deployment of such systems. However, challenges persist due to commu…
  preprints Zhiyong Fan, Yuanmo Lin, Yuxun Ai, Hang Xu 2024 置信度 0.74
• Graceful Task Adaptation with a Bi-hemispheric RL Agent
  crossref Grant Nicholas, Levin Kuhlmann, Gideon Kowadlo 2024-11-23T18:47:25Z 置信度 0.70
• Enhancing intrusion detection in next-generation networks based on a multi-agent game-theoretic framework
  <span lang="EN-US">With cyber threats becoming increasingly sophisticated, existing intrusion detection systems (IDS) in next generation networks (NGNs) are subjected to more false-positives and struggles to offer robust security feature, highlighting a …
  crossref Sai Krishna Lakshminarayana, Prabhugoud I. Basarkod 2024-10-08T17:52:21Z 置信度 0.70
• Procurement as an AI Governance Change Agent
  The multiple ways that artificial intelligence (AI) affects society has captured significant global attention. An area of growing interest is the role that AI procurement can play in addressing the effects of this technology within the public and private secto…
  crossref Carlos Ignacio Gutierrez 2022-06-27T09:04:47Z 置信度 0.70
• Crafting Human-AI Interaction: A Rhetorical Approach to Adaptive Interaction in Conversational Agents
  As we navigate through the evolving landscape of artificial intelligence (AI), human-AI interactions have implications across various fields. Despite significant technical advancements, the interaction aspect remains challenging and continues to impact user tr…
  crossref Rutuja Joshi, Klaus Bengler 2024-11-20T00:24:28Z 置信度 0.70
• Multi-agent cooperative encirclement based on improved MADDPG algorithm
  Abstract In this paper, we propose an improved Multi-agent Deep Deterministic Policy Gradient algorithm with a Priority Experience Replay mechanism (PER-MADDPG) to address the baseline algorithm’s high-dimensional state space challenges in multi-agent encircle…
  crossref Ling Ai, Shaozhen Tang, Jie Yu 2024-11-27T09:24:33Z 置信度 0.70
• Research on Development and Application of AI Agent for Travel Recommendation Driven by Large Language Model
  Based on the large language model and ZeLinAI platform, the construction and application of travel recommendation AI agents are carried out. And the deep learning and sentiment analysis methods of the large model are integrated to further explore the needs of …
  crossref Meirong Lin 2024-06-07T17:23:08Z 置信度 0.70
• An AI-supported Agent-based Security Model for the Internet of Things
  This paper proposes an agent-based security model that facilitates the integration of AI-supported analysis capabilities into IoT security research efforts. We aim to contribute to more secure IoT systems by combining flexible mechanisms to generate reliable, …
  crossref Leonardo Babun, Luis Puche Rondon, Daniel P. Syed, Jeffrey S. Chavis 2025-06-12T17:41:07Z 置信度 0.70
• The New Era of Knowledge Retrieval: Multi-Agent Systems Meet Generative AI
  In the realm of interactive chat systems, the fusion of Multi-Agent Systems (MAS) with Generative Artificial Intelligence (GAl) presents a promising approach to dynamic information retrieval and personalized user experiences. Handling diverse data sources with…
  crossref Niklas Holtz, Sven Wittfoth, Jorge Marx Gómez 2024-09-04T17:42:55Z 置信度 0.70
• Projects: Building Agent Apps for Common Use Cases
  In this chapter, we will explore how to create custom agents using LangChain. By the end of this chapter, you will have a solid understanding of how to load language models, define tools, create prompts, and bind everything together to build a functional agent…
  crossref Rabi Jay 2024-12-26T09:58:23Z 置信度 0.70
• OpenClaw and Ollama in Agentic AI: Toward Fully Autonomous and Scalable AI Agent Systems
  The rapid transition from reactive large language model (LLM) interfaces to persistent, action-capable systems has revealed fundamental gaps in the architectural understanding of Agentic AI, particularly in disentangling inference, orchestration, and execution…
  crossref Konstantinos I. Roumeliotis, Ranjan Sapkota 2026-04-28T07:16:37Z 置信度 0.70
• Exploring Multi-Agent Dynamics for Generative AI and Large Language Models in Mobile Edge Networks
  The emergence of generative artificial intelligence (GenAI) marks a significant breakthrough in the realm of AI. Recently, GenAI and large language models (LLMs) have garnered tremendous attention due to their capability to automatically generate data based on…
  crossref Xiaoya Zheng, sungeng, lijiahui0803, jiacheng.wang 等 2024-09-24T14:35:09Z 置信度 0.70
• Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies
  crossref Frédéric Berdoz, Roger Wattenhofer 2025-11-03T11:20:56Z 置信度 0.70
• API C4E Augmentation: AI-Powered Agent(AIPA) Framework
  Abstract: In today’s rapidly evolving digital landscape, organizations increasingly rely on Application Programming Interface known as API for seamless integration and data exchange. API providers comprising consumers, developers, and project teams face severa…
  crossref Mahendhiran Krishnan 2024-11-17T11:38:44Z 置信度 0.70
• Evolutionary optimization for risk-aware heterogeneous multi-agent path planning in uncertain environments
  Cooperative multi-agent systems make it possible to employ miniature robots in order to perform different experiments for data collection in wide open areas to physical interactions with test subjects in confined environments such as a hive. This paper propose…
  pubmed Fatemeh Rekabi Bana, Tomáš Krajník, Farshad Arvin, Rekabi Bana F 等 2024 置信度 0.82
• User perceptions and experiences of an AI-driven conversational agent for mental health support
  Background The increasing prevalence of artificial intelligence (AI)-driven mental health conversational agents necessitates a comprehensive understanding of user engagement and user perceptions of this technology. This study aims to fill the existing knowledg…
  crossref Beenish Moalla Chaudhry, Happy Rani Debi 2024-07-11T06:33:27Z 置信度 0.70
• Multiple-agent promotion in a grocery store: effects of modality and variability of agents on customer memory
  The use of social robots for product advertising is becoming prevalent. Previous studies have demonstrated that social robots can positively impact ad hoc sales recommendations. However, the essential question of “how effectively customers remember the adverti…
  crossref Takato Mizuho, Yuki Okafuji, Jun Baba, Takuji Narumi 2024-12-05T05:11:04Z 置信度 0.70
• An Action-Centric Zero Trust Maturity Model for Agentic AI Environments.
  Large language model-based agentic AI systems can independently interpret user goals, develop plans, and interact with external tools. These capabilities introduce security concerns that extend beyond traditional access control. However, existing Zero Trust Ma…
  europepmc 2026 置信度 0.80
• Cooperative UAV swarms for zero knowledge verification of edge generative AI using trust-aware multiagent learning.
  The high-level integration of generative artificial intelligence (AI) in edge computing systems has raised the question of the integrity and reliability of deploying Model-as-a-Service. Edge servers are not required to follow the so-called generative model to …
  europepmc 2026 置信度 0.80
• Lessons From Drug Discovery for Cryoprotective Agent Design: An AI-Oriented Perspective.
  Cryopreservation is the storage of biological materials like cells, tissues, or even organs at cryogenic temperatures. This technology is a key enabler for biobanking, reproductive medicine, and cell therapy, and is positioned as a vital part of the future of …
  europepmc 2026 置信度 0.80
• AI-Driven Generation of Post-Contrast T1 and ECV Maps from Native T1 Map in Cardiac MRI.
  Background/Objectives : This study aimed to develop an artificial intelligence-based method for generating virtual post-contrast T1 maps and extracellular volume (ECV) maps from native T1 maps and to evaluate its performance. Methods : The proposed method was …
  pubmed Yang YJ, Kim GH, Kim YC, Kim YJ 2026 置信度 0.82
• Real-World Engagement With a Generative AI Conversational Agent for Mental Health Support: Retrospective Descriptive Study.
  Background Generative artificial intelligence (GenAI) conversational agents are increasingly integrated within digital mental health interventions (DMHIs). However, empirical data on real-world engagement, usage patterns, and satisfaction with GenAI conversati…
  europepmc 2026 置信度 0.80
• Human-AI collaboration: trade-offs between performance and preferences.
  Despite the growing interest in collaborative AI, designing systems that seamlessly integrate human input remains a major challenge. In this study, we developed a task to systematically examine human preferences for collaborative agents. We created and evaluat…
  europepmc 2026 置信度 0.80
• Video games help push the boundaries of AI.
  In one recent project that used video games to explore artificial intelligence, computer scientists introduced 1,000 AI-driven agents into the game Minecraft and watched as an AI civilization emerged.It included artists, chefs, and explorers.Image credit: Shut…
  europepmc 2026 置信度 0.80
• Under what conditions could an AI-first accountable care organization improve outcomes in Medicaid? A microsimulation and economic evaluation
  Abstract Background Medicaid managed care organizations (MCOs) enroll more than 70% of 48.3 million beneficiaries, with mixed evidence on outcomes and administrative loss ratios averaging 7.9% in 2023 and 10.1% in 2024. State and federal agencies are examining…
  europepmc 2026 置信度 0.80
• Lactate-sensitive nanomachines for enzyme-controlled drug delivery in cancer therapy.
  Here, we report the preparation of a novel enzyme-powered nanomachine for a drug delivery system based on mesoporous silica nanoparticles capped with a cyclodextrin-lactate oxidase (CD-LOx) complex, which enables controlled cargo release triggered by the prese…
  europepmc 2026 置信度 0.80
• How do consumers perceive virtual agents with behavioral realism? The role of loneliness and trust.
  Introduction Virtual agents with realism have been widely promoted as a potential solution to the pervasive global problem of loneliness by providing companionship. However, prior research and practical applications have produced inconsistent and sometimes con…
  europepmc 2026 置信度 0.80
• Transforming oncology clinical trial matching through neuro-symbolic, multi-agent AI and an oncology-specific knowledge graph: a prospective evaluation in 3804 patients.
  Clinical trial enrollment in oncology remains critically low, with fewer than 5% of eligible adults participating, in large part due to the complexity and labor intensity of eligibility screening. We prospectively evaluated a neuro-symbolic, multi-agent artifi…
  pubmed Loaiza-Bonilla A, Yost C, Kurnaz S, Tuysuz E 等 2026 置信度 0.82
• Complete genome sequence of <i>Serratia plymuthica</i> PAMC22778 from Kara sea sediment reveals biosynthetic gene clusters with potential biocontrol-associated secondary metabolites.
  We report the complete genome of Serratia plymuthica PAMC22778, a soil-associated bacterium with biocontrol potential. The complete genome comprises 5,765,014 bp, including one circular chromosome of 5,661,166 bp and one plasmid of 103,848 bp, with a GC conten…
  europepmc 2026 置信度 0.80
• Artificial intelligence for energy-efficient computation offloading in WPT-enabled industrial internet of things.
  Integrating artificial intelligence (AI) applications in resource-constrained Internet of Things (IoT) systems with intelligent edge computing and Wireless Power Transfer (WPT) is essential for supporting real-time decision-making and sustainable Industrial In…
  europepmc 2026 置信度 0.80
• Trustworthy and ethical intrusion detection for healthcare internet of medical things using reinforcement learning and governance rules.
  Healthcare Internet of Medical Things (IoMT) environments require intrusion detection systems that are accurate, safe, proportionate, and auditable. Conventional intrusion detection metrics such as accuracy and F1-score quantify classification performance but …
  europepmc 2026 置信度 0.80
• The Role of Artificial Intelligence in Clinical Psychology: How AI and NLP Systems Are Reshaping Psychological Interventions. A Systematic Review.
  Artificial Intelligence (AI) technologies are rapidly evolving and their integration into psychological practices has progressively expanded, offering new tools for diagnosis, treatment and therapeutic monitoring. This review examines the transformative role o…
  europepmc 2026 置信度 0.80
• ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care.
  Real-world adoption of closed-loop insulin delivery systems (CLIDS) in type 1 diabetes remains low, driven not by technical failure, but by diverse behavioral, psychosocial, and social barriers. We introduce ChatCLIDS, the first benchmark to rigorously evaluat…
  europepmc 2026 置信度 0.80
• Precision oncology in the age of AI: lessons from AI-driven drug discovery and clinical translation.
  Drug discovery has been constrained by extended timelines and high costs, as the cumulative requirements of preclinical validation, multi-phase clinical trials, and regulatory approval have been imposed. Recently, computational modeling has been explored as a …
  europepmc 2026 置信度 0.80
• Human-Agent Collaboration in Decision-Making: A Systematic Review of Agentic AI in Augmenting Human Expertise in Healthcare, Finance, and Governance
  Abstract This systematic review examines how agentic Artificial Intelligence (AI)—autonomous, goal-driven systems—enhances human decision-making across healthcare, finance, and governance domains. Conducted following PRISMA 2020 guidelines, the study analysed …
  europepmc Jermiah Nzenwata, Ayomide Akinola, Toyyibat Yisau, Funmilayo Adeyemo 等 2026 置信度 0.80
• Morphological symmetry-aware generalized policy network for deep reinforcement learning.
  Exploiting the morphological symmetry of robotic systems, such as humanoid and quadruped robots, is a promising direction for improving robot learning. In deep reinforcement learning (DRL) for robot control, prior studies have leveraged such symmetry to improv…
  europepmc 2026 置信度 0.80
• Trustworthy and Ethical AI for Intrusion Detection in Healthcare IoT (IoMT) Systems: An Agentic Decision Loop Framework
  Abstract The rapid expansion of Internet of Medical Things (IoMT) ecosystems has intensified cybersecurity challenges in healthcare settings, where network disruptions can compromise clinical safety and operational continuity. Traditional intrusion detection s…
  europepmc 2026 置信度 0.80
• Navigating the Evolution of Urothelial Carcinoma Treatment: From Chemotherapy to Immunotherapy.
  Background The urothelial carcinoma (UC) trial landscape has expanded over two decades, alongside a shift from chemotherapy to immunotherapy and targeted approaches. We characterized temporal patterns in trial phase, interventions, sponsorship, geographic foot…
  europepmc 2026 置信度 0.80
• Reframing the Performance and Ethics of Empathic AI: Wisdom of the Crowd and Placebos.
  Recently, claims have emerged that artificial intelligence (AI) is better at providing empathy than humans. These claims are based on experiments in which large language models were prompted to generate empathic responses to short emotional passages. These res…
  europepmc 2026 置信度 0.80
• Emerging Use of Agentic AI Systems Across Genomics and Transcriptomics Domains: a Systematic Review
  Abstract Background Genomics and transcriptomics workflows require coordinated use of multiple specialized tools, creating technical barriers for many domain scientists. Large language models (LLMs) have shown promise for supporting bioinformatics tasks, but s…
  europepmc 2026 置信度 0.80
• Low perceived warmth of AI agents reduces trust towards them.
  Artificial intelligence (AI) agents represent a new class of social actors within social and economic systems. To ensure the smooth functioning of human-AI societies, it is crucial to understand how trust between humans and AI agents is developed. The present …
  europepmc 2026 置信度 0.80
• Personalized multi-agent reinforcement learning framework for adaptive chronic disease therapy management.
  Long-term, flexible therapy strategies are needed for chronic diseases like cardiovascular ailments, diabetes, and chronic kidney disease and they have to deal with patient heterogeneity, changing physiological states and privacy constraints. This research sug…
  pubmed Ahmad F, AlGhamdi R 2026 置信度 0.82
• Machine Learning-Based Data Extraction Tools in Healthcare: A Systematic Review.
  The healthcare industry's digital transformation has led to an unprecedented volume of multimodal data. Machine learning (ML)-based extraction tools offer promising solutions for managing this data explosion, particularly when integrated with federated databas…
  europepmc 2026 置信度 0.80
• Reinforcement Learning-Based Optimization of Ku-Band Low-Noise Amplifier.
  In this paper, we present a study on the automated design optimization of a wideband low-noise amplifier (LNA) operating in Ku-band (12 to 18 GHz) using proximal policy optimization (PPO), one of the widely applied reinforcement learning (RL) algorithms for en…
  europepmc 2026 置信度 0.80
• Temporal Trends in Antineoplastic Agent-associated Interstitial Lung Disease Involving Immune Checkpoint Inhibitors in the JADER Database.
  Background/aim Cancer pharmacotherapy has advanced substantially with the introduction of novel agents such as immune checkpoint inhibitors (ICIs). However, managing drug-induced interstitial lung disease (DIILD) associated with these agents remains a major cl…
  europepmc 2026 置信度 0.80
• A cognitive synergetic hierarchical framework for UAV swarm combat via speculative inference and role-decoupled reinforcement learning.
  In the high-stakes arena of aerial combat-a domain defined by extreme dynamics and unforgiving physical constraints-UAV swarms are currently squeezed between two extremes: the "tactical short-sightedness" of Multi-Agent Reinforcement Learning (MARL) and the "i…
  europepmc 2026 置信度 0.80
• Engaging Artificial Intelligence (AI)-based chatbots in digital health: A systematic review.
  The healthcare sector is rapidly evolving with the integration of Artificial Intelligence (AI). As AI technologies shift from rule-based expert systems to deep learning architectures, AI-based chatbots have emerged as innovative solutions to persistent challen…
  europepmc 2026 置信度 0.80
• "I Don't Trust AI": A Generic Qualitative Analysis of College-Aged Mental Health Clients' Perceptions of Artificial Intelligence Used in Mental Health Counseling.
  This qualitative study examined college-aged client perceptions of artificial intelligence (AI) in counseling services. AI technologies are beginning to appear in mental health treatment; it is important to understand client voices and perceptions. A generic q…
  europepmc 2026 置信度 0.80
• Emotional Responses to AI-Powered Personalised Advertising: The Role of Perceived Empathy and Social Cognition in Consumer Decision-Making.
  The rapid proliferation of artificial intelligence (AI) in digital advertising has fundamentally transformed how brands communicate with consumers, shifting from generic mass messaging toward highly personalised, emotionally targeted experiences. Despite growi…
  europepmc 2026 置信度 0.80
• Is Switching Biologics in CRSwNP Promising? Real-World Evidence for Clinical Outcome Measures in Comparison.
  Objective Biologics are well established in treating severe chronic rhinosinusitis with nasal polyps (CRSwNP). Most patients benefit from the first chosen biologic agent, in a few cases switching biologics can be a further therapeutic strategy. Methods In this…
  europepmc 2026 置信度 0.80
• Artificial intelligence for optimization of immunotherapy: current applications and transformative potential.
  Artificial intelligence (AI) is a transformative technology that has captivated the medical world with its potential to optimize cancer treatment and enhance precision oncology. In cancer diagnosis and treatment, various AI technologies have already provided h…
  europepmc 2026 置信度 0.80
• Conversational AI or a human professional for mental health advice? Exploring prevalence and public preferences in Australian adults.
  Objective General-purpose conversational AI (e.g., ChatGPT) is increasingly accessed for mental health support despite lacking clinical validation. This study examined the prevalence and user preferences for conversational AI compared to mental health professi…
  europepmc 2026 置信度 0.80
• AI, aging well, and accessible digital games: the supplemental role of AI in accessible game design for older adults.
  As the population continues to age, and gaming continues to grow as a hobby for older people, heterogeneity among older adult gamers is increasing. We argue that traditional game-based accessibility features, like simplified input schemes, redundant informatio…
  europepmc 2026 置信度 0.80
• Beyond tool use: how ecological coupling configures AI's empowerment for language learning engagement.
  This study develops and tests an AI-empowerment Configural Model to explain how artificial intelligence (AI) empowers language learning engagement. Grounded in ecological systems theory (EST) and ecological affordance theory (EAT), the model theorizes AI as an…
  europepmc 2026 置信度 0.80
• A large-scale concordance study of toxicity findings across preclinical species and humans for small molecules and biologics.
  Translating preclinical safety findings into reliable insights for human risk assessment remains a fundamental challenge in drug development. Prior preclinical-clinical concordance studies have been constrained by limited drug coverage, reliance on identical-t…
  pubmed Liu X, Fan F 2026 置信度 0.82
• Exploring Student Perceptions of Generative AI Therapists and Their Benefits and Challenges in Schools.
  This study investigates secondary school students' perceptions of generative AI (GenAI) as virtual mental health therapists within educational settings. Leveraging data from the written reflections of 69 Hong Kong secondary school students engaged in an AI lit…
  europepmc 2026 置信度 0.80
• AI-Generated Versus Human Supervisor Feedback on Medical Students' Clinical Clerkship Logs: Cross-Sectional Convergent Mixed Methods Study.
  Background Feedback is essential for medical students' learning during clinical clerkships; yet, supervising physicians often struggle to provide meaningful written feedback due to time constraints. Large language models offer a promising approach to supplemen…
  europepmc 2026 置信度 0.80
• Human 2.0? AI and the Future of Well-Being, Connection, and Personal Growth: A Narrative Review.
  This narrative review examines research on artificial intelligence (AI), including rule-based systems, natural language processing models, and large language models, in relation to well-being, social connection, and personal growth. After briefly tracing the h…
  europepmc 2026 置信度 0.80
• Beyond Algorithmic Oversight: Internal Morality of Medicine and Meaningful Human Control in AI-Assisted Care.
  Background/Objectives : Artificial intelligence reshapes clinical practice, and its effect on the clinician-patient relationship requires reconsideration of the frameworks that have shaped modern medical ethics. When clinicians delegate expertise to algorithms…
  europepmc 2026 置信度 0.80
• Robots and AI are not one moral category: why the distinction matters for ethical and conscious systems.
  Calls that pair ethical and conscious AI with ethical and conscious robots may feel natural. Many contemporary robots use machine learning, and many AI systems are described in agentive terms. Yet the pairing can hide a conceptual shortcut. It quietly suggests…
  europepmc 2026 置信度 0.80
• Integrative Intelligence as an Operative Mode: Cognitive Integration through Self-Ethnographic Dialogue with AI.
  This paper proposes Integrative Intelligence as an operative mode of human judgment in which temporal integration (past-present-future), contextual integration (roles, relationships, life domains), and embodied integration (body, emotion, thought, meaning-maki…
  europepmc 2026 置信度 0.80