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Researchers can now turn on MCP connectors for Scite and Consensus inside general AI tools such as ChatGPT or Claude. Before relying on the results, it helps to know what MCP adds and how that relates to RAG.

This June, as storms battered Hong Kong, Gary Lee, Research Support Librarian at HKUST who commutes daily across the New Territories from Yuen Long, started mapping. Read this post to learn how Gary used AI tools and public data to build an interactive 3D visualization of rainfall patterns and flood blackspots.

Guest Post: A new ML pipeline overcomes the unique challenges of Chinese logographic script to reconstruct individual life trajectories across centuries of administrative records.

Explore our new interactive app to compare 40+ GenAI research tools and discover how they can enhance your literature discovery and analysis.

The fast development and release of automated tools is transforming how we conduct research. Many of these tools (technologies) appear to be very powerful: allowing us to do our work much faster, and maybe more efficiently. But they create a question: as we integrate these tools into our scholarly work, how do we ensure that we are not just doing things faster, but also doing them right?