1. ChatGPT模型研究与搭建[1]。

2.基于深度学习(DL)和自然语言处理(Nature Language Processing)媒体情感分析研究[2]。

3.基于二维卷积神经网络（2D-CNN)，针对已经训练过的语言模型进行方言识别分类。

4.基于神经网络针对不同种类的虫体图像进行识别分类。

5.基于超连接物联网节点的集智IoT系统。

6.基于集体智能（Collective Intelligence）的边缘计算研究。[3]

[1] "What Is ChatGPT Doing … and Why Does It Work?"(https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/)

[2] Nguyen, H., & Nguyen, M. L. (2018). A deep neural architecture for sentence-level sentiment classification in twitter social networking. In Computational Linguistics: 15th International Conference of the Pacific Association for Computational Linguistics, PACLING 2017, Yangon, Myanmar, August 16–18, 2017, Revised Selected Papers 15 (pp. 15-27). Springer Singapore.

[3]Rubenstein M, Cornejo A, Nagpal R. Programmable self-assembly in a thousand-robot swarm[J]. Science, 2014, 345(6198): 795-799.