A novel system utilizes unsupervised learning to categorize thousands of research papers into distinct topics, revealing trends like image reconstruction and traffic analysis. It also analyzes real-time events, such as incidents involving self-driving cars, to assess their impact on research attention. Additionally, the system aims to build a knowledge base that evolves with ongoing publications and news.
