Research on Development of Generative Artificial Intelligence

Authors

  • Junliang Wang

DOI:

https://doi.org/10.54097/d24rqq11

Keywords:

Machine Learning, Algorithm, Development

Abstract

Machine Learning, as one of the key technologies in the field of artificial intelligence, has made significant advancements in recent years. This study provides a relatively systematic introduction to machine learning. Firstly, it gives an overview of the historical development of machine learning, and then focuses on the analysis of classical algorithms in machine learning. Subsequently, it elucidates the latest research advancements in machine learning, aiming to comprehensively explore the applications of machine learning in various domains and discuss potential future directions. 

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References

Che, Chang, et al. "Deep learning for precise robot position prediction in logistics." Journal of Theory and Practice of Engineering Science 3.10 (2023): 36-41.

Yu, Liqiang, et al. "Similarity Matching for Patent Documents Using Ensemble BERT-Related Model and Novel Text Processing Method." Journal of Advances in Information Technology 15.3 (2024).

Che, Chang, et al. "Advancing Cancer Document Classification with R andom Forest." Academic Journal of Science and Technology 8.1 (2023): 278-280.

Che, Chang, et al. "Enhancing Multimodal Understanding with CLIP-Based Image-to-Text Transformation." Proceedings of the 2023 6th International Conference on Big Data Technologies. 2023.

Huang, Jiaxin, et al. "Enhancing Essay Scoring with Adversarial Weights Perturbation and Metric-specific Attention Pooling." 2023 International Conference on Information Network and Computer Communications (INCC). IEEE, 2023.

Huang, Zengyi, et al. "Research on Generative Artificial Intelligence for Virtual Financial Robo-Advisor." Academic Journal of Science and Technology 10.1 (2024): 74-80.

Huang, Zengyi, et al. "Application of Machine Learning-Based K-Means Clustering for Financial Fraud Detection." Academic Journal of Science and Technology 10.1 (2024): 33-39.

Yu, Liqiang, et al. "Stochastic Analysis of Touch-Tone Frequency Recognition in Two-Way Radio Systems for Dialed Telephone Number Identification." arXiv preprint arXiv: 2403. 15418 (2024).

Che, Chang, et al. "Integrating Generative AI into Financial Market Prediction for Improved Decision Making." arXiv preprint arXiv:2404.03523 (2024).

Che, Chang, et al. "Intelligent Robotic Control System Based on Computer Vision Technology." arXiv preprint arXiv: 2404. 01116 (2024).

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Published

10-05-2024

Issue

Section

Articles

How to Cite

Wang, J. (2024). Research on Development of Generative Artificial Intelligence. Frontiers in Computing and Intelligent Systems, 8(1), 69-74. https://doi.org/10.54097/d24rqq11