期刊名：AI

期刊主页：https://www.mdpi.com/journal/ai

人工智能聚焦智能规律挖掘，促进人机协同发展。该领域研究旨在以智能系统为核心对象，围绕机器学习、计算机视觉、自然语言处理、智能伦理与安全管控开展体系化研究，助力人机共生的可持续发展。本期精选AI 期刊多篇优质图形摘要，以简洁清晰的可视化形式呈现行业前沿研究成果，欢迎阅读。

1. Intelligent Car Park Occupancy Monitoring System Based on Parking Slot and Vehicle Detection Using DJI Mini 3 Aerial Imagery and YOLOv11

基于DJI Mini 3航拍影像和YOLOv11的停车位与车辆检测智能停车场占用监控系统

https://www.mdpi.com/2673-2688/7/2/74

Peraza-Garzón, J.; Huerta-Mora, E.; Olivarría-González, M.; Quiñonez, Y.; Rubio-Ayala, H.; Palacios-Navidad, J.A.; Peraza-Garzón, A. Intelligent Car Park Occupancy Monitoring System Based on Parking Slot and Vehicle Detection Using DJI Mini 3 Aerial Imagery and YOLOv11. AI 2026, 7, 74.

2. Epistemic Agency in the Age of Large Language Models: Design Principles for Knowledge-Building AI

大语言模型时代的认知能动性：知识建构型人工智能的设计原则

https://www.mdpi.com/2673-2688/7/3/99

Woodruff, E.; Hewitt, J. Epistemic Agency in the Age of Large Language Models: Design Principles for Knowledge-Building AI. AI 2026, 7, 99.

3. Just-in-Time Historical State Reconstruction for Low-Latency Financial Trading with Large Language Models

面向低延迟金融交易的大语言模型即时历史状态重构

https://www.mdpi.com/2673-2688/7/4/117

Van, D.H.; Karim, M.M.; Qu, Q. Just-in-Time Historical State Reconstruction for Low-Latency Financial Trading with Large Language Models. AI 2026, 7, 117.

4. The Capabilities and Limitations of AI Systems at NASA

NASA人工智能系统的能力与局限

https://www.mdpi.com/2673-2688/7/5/154

Morgan, P.F.; Megowan, A.; Sheehey, B.; Oza, N.C.; Whitaker, B.M. The Capabilities and Limitations of AI Systems at NASA. AI 2026, 7, 154.

5. Design and Implementation of a Three-Layer Backpropagation Neural Network for Multi-Output Regression in Citizen-Science Impact Assessment

面向公民科学影响评估的多输出回归三层反向传播神经网络设计与实现

https://www.mdpi.com/2673-2688/7/5/178

Ceccaroni, L.; Visa, L.; Visa, I. Design and Implementation of a Three-Layer Backpropagation Neural Network for Multi-Output Regression in Citizen-Science Impact Assessment. AI 2026, 7, 178.

6. Conditional Gaussian Modelling for Small-Sample HCI Evaluation: Resolving Simpsons Paradox in AI-Assisted Healthcare Design Tools

面向小样本人机交互评估的条件高斯建模：解决AI辅助医疗设计工具中的辛普森悖论

https://www.mdpi.com/2673-2688/7/6/199

Firoz, M.B.; Ahmed, A. Conditional Gaussian Modelling for Small-Sample HCI Evaluation: Resolving Simpson’s Paradox in AI-Assisted Healthcare Design Tools. AI 2026, 7, 199.

7. From Illusion to Insight: A Taxonomic Survey of Hallucination Mitigation Techniques in LLMs

从幻象到洞见：大语言模型幻觉缓解技术的分类综述

https://www.mdpi.com/2673-2688/6/10/260

Kazlaris, I.; Antoniou, E.; Diamantaras, K.; Bratsas, C. From Illusion to Insight: A Taxonomic Survey of Hallucination Mitigation Techniques in LLMs. AI 2025, 6, 260.

8. A Bibliometric Analysis on Artificial Intelligence in the Production Process of Small and Medium Enterprises

人工智能在中小企业生产过程中的文献计量分析

https://www.mdpi.com/2673-2688/6/3/54

Briatore, F.; Mosca, M.T.; Mosca, R.N.; Braggio, M. A Bibliometric Analysis on Artificial Intelligence in the Production Process of Small and Medium Enterprises. AI 2025, 6, 54.

9. Application of Vision-Language Models in the Automatic Recognition of Bone Tumors on Radiographs: A Retrospective Study

视觉-语言模型在X线片骨肿瘤自动识别中的应用：一项回顾性研究

https://www.mdpi.com/2673-2688/6/12/327

Kaczmarczyk, R.; Pieroh, P.; Koob, S.; Fröschen, F.S.; Scheidt, S.; Welle, K.; Martin, R.; Roos, J. Application of Vision-Language Models in the Automatic Recognition of Bone Tumors on Radiographs: A Retrospective Study. AI 2025, 6, 327.

期刊介绍

主编：Prof. Dr. Kenji Suzuki, Tokyo Institute of Technology

AI（ISSN 2673-2688）是一个国际性、跨学科的开放获取英文学术期刊，聚焦人工智能领域的前沿研究，广泛覆盖机器学习、自然语言处理、智能机器人等所有AI子方向。期刊现已被ESCI（Web of Science）、Scopus和DOAJ等权威数据库收录，并展现出强劲的学术影响力：最新影响因子已达6.5，年增长30%，在JCR“计算机科学：跨学科应用”和“计算机科学：人工智能”两个领域中均位列Q1；CiteScore为7.3，2025年SCImago期刊排名（SJR）亦位于人工智能领域Q1。

2025 Impact Factor：6.5

2025 CiteScore：7.3

Time to First Decision：20.4 Days

Acceptance to Publication：5.6 Days