With the rapid advancement of generative AI, numerous academic fields are undergoing unprecedented transformations. AI tools like DeepSeek and Kimi are increasingly becoming vital supports for research and learning, significantly enhancing academic productivity and fostering cross-disciplinary innovation.
Hosted by DRC National Big Data Research Institute, this seminar aims to empower academia in redefining research paradigms amid the AI wave. The session will focus on diverse applications of DeepSeek and Kimi in learning and research, featuring hands-on demonstrations of how these tools can accelerate text and data collection, generate high-quality research outputs, enhance efficiency through multimodal inputs (documents, webpages, and images). Participants will gain practical insights into leveraging AI for elevated scholarly capabilities.
Outline:
- Comparative Analysis of DeepSeek and Kimi Use Cases
- Using AI for Thesis Topic Selection
- Automated Text & Data Collection with AI
- Multimodal AI for Learning & Research
- Ensuring AI Authenticity & Text Quality
- Creating High-Impact PPTs with Kimi
Time & Date: 15:00-16:00 Apr.23, 2025
Language: Chinese
Speaker: Zhao Penghui, from DRC · National Big Data Research Institute
Research Fellow of Industry Research Department, Master of Finance, Specializing in transportation, logistics, port & shipping, and next-generation IT industries and possessing extensive research expertise.
His work focuses on AI-augmented research methodologies, with demonstrated proficiency in leveraging cutting-edge AI tools to enhance research productivity and operational efficiency.
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Pre-Training Questionnaire
Outline:
Time & Date: 12:45-13:45 May 22, 2025
Language: English
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