Research on the Application of Big Data Technology in Artificial Intelligence

Research on the Application of Big Data Technology in Artificial Intelligence

Authors

  • Jie Lin Wave Software Technology Co., Ltd. Jinan, Shandong 250000
  • Liang Ning Wave Software Technology Co., Ltd. Jinan, Shandong 250000

DOI:

https://doi.org/10.53469/ijomsr.2025.08(07).01

Keywords:

Big data technology, Artificial Intelligence, The application is available

Abstract

With the developing of internet and information technologies, it is convenient for the Volkswagen to obtain information resources, and the important technical support for people to obtain information resources is the combination of big data and artificial intelligence. The article explores the advantages of big data and artificial intelligence technology, analyzes the core types of technology in big data technology, studies the application of big data technology in artificial intelligence, and has some reference value for the future development of artificial intelligence.

References

Wang, Yang, and Kowei Shih. "Hybrid multi-modal recommendation system: Integrating mmoe and xgboost for enhanced personalization and accuracy." 2024 4th International Conference on Artificial Intelligence, Robotics, and Communication (ICAIRC). IEEE, 2024.

Fu, Lei, et al. "Adversarial Prompt Optimization in LLMs: HijackNet’s Approach to Robustness and Defense Evasion." 2025 4th International Symposium on Computer Applications and Information Technology (ISCAIT). IEEE, 2025.

Zheng, Haoran, et al. "FinGPT-Agent: An Advanced Framework for Multimodal Research Report Generation with Task-Adaptive Optimization and Hierarchical Attention." (2025).

Weng, Yijie, et al. "SafeGen-X: A Comprehensive Framework for Enhancing Security, Compliance, and Robustness in Large Language Models." 2025 8th International Conference on Advanced Algorithms and Control Engineering (ICAACE). IEEE, 2025.

Chen, Yang, et al. "SyntheClean: Enhancing Large-Scale Multimodal Models via Adaptive Data Synthesis and Cleaning." 2025 5th International Conference on Artificial Intelligence and Industrial Technology Applications (AIITA). IEEE, 2025.

Jiang, Gaozhe, et al. "A Knowledge-Enhanced Multi-Task Learning Model for Domain-Specific Question Answering." 2025 7th International Conference on Information Science, Electrical and Automation Engineering (ISEAE). IEEE, 2025.

Zhuo, Jiayang, et al. "An Intelligent-Aware Transformer with Domain Adaptation and Contextual Reasoning for Question Answering." 2025 IEEE 6th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT). IEEE, 2025.

Zhang, Hanlu, et al. "Dynamic Attention-Guided Video Generation from Text with Multi-Scale Synthesis and LoRA Optimization." 2025 4th International Symposium on Computer Applications and Information Technology (ISCAIT). IEEE, 2025.

Zhao, Shihao, et al. "KET-GPT: A Modular Framework for Precision Knowledge Updates in Pretrained Language Models." 2025 IEEE 6th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT). IEEE, 2025.

Shih, Kowei, et al. "DST-GFN: A Dual-Stage Transformer Network with Gated Fusion for Pairwise User Preference Prediction in Dialogue Systems." 2025 8th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE). IEEE, 2025.

Li, Xuan, et al. "MLIF-Net: Multimodal Fusion of Vision Transformers and Large Language Models for AI Image Detection." 2025 8th International Conference on Advanced Algorithms and Control Engineering (ICAACE). IEEE, 2025.

Xie, Minhui, and Shujian Chen. "InVis: Interactive Neural Visualization System for Human-Centered Data Interpretation." Authorea Preprints (2025).

Xie, Minhui, and Shujian Chen. "CoreViz: Context-Aware Reasoning and Visualization Engine for Business Intelligence Dashboards." Authorea Preprints (2025).

Zhu, Bingxin. "TraceLM: Temporal Root-Cause Analysis with Contextual Embedding Language Models." (2025).

Zhang, Yuhan. "CrossPlatformStack: Enabling High Availability and Safe Deployment for Products Across Meta Services." (2025).

Zhang, Yuhan. "SafeServe: Scalable Tooling for Release Safety and Push Testing in Multi-App Monetization Platforms." (2025).

Hu, Xiao. "AdPercept: Visual Saliency and Attention Modeling in Ad 3D Design." (2025).

Hu, Xiao. "UnrealAdBlend: Immersive 3D Ad Content Creation via Game Engine Pipelines." (2025).

Ding, C.; Wu, C. Self-Supervised Learning for Biomedical Signal Processing: A Systematic Review on ECG and PPG Signals. medRxiv 2024.

D. Restrepo, C. Wu, S.A. Cajas, L.F. Nakayama, L.A. Celi, D.M. López. Multimodal deep learning for low-resource settings: A vector embedding alignment approach for healthcare applications. (2024), 10.1101/2024.06.03.24308401

Jiang, G., Yang, J., Zhao, S., Chen, H., Zhong, Y., & Gong, C. (2025). Investment Advisory Robotics 2.0: Leveraging Deep Neural Networks for Personalized Financial Guidance. Preprints. https://doi.org/10.20944/preprints202504.1735.v1

Chen, Yinda, et al. "Generative text-guided 3d vision-language pretraining for unified medical image segmentation." arXiv preprint arXiv:2306.04811 (2023).

Yu, Z., Sun, N., Wu, S., & Wang, Y. (2025, March). Research on Automatic Text Summarization Using Transformer and Pointer-Generator Networks. In 2025 4th International Symposium on Computer Applications and Information Technology (ISCAIT) (pp. 1601-1604). IEEE.

Sun, N., Yu, Z., Jiang, N., & Wang, Y. (2025). Construction of Automated Machine Learning (AutoML) Framework Based on Large LanguageModels.

Pal, P. et al. 2025. AI-Based Credit Risk Assessment and Intelligent Matching Mechanism in Supply Chain Finance. Journal of Theory and Practice in Economics and Management. 2, 3 (May 2025), 1–9.

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Published

2025-07-14

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