• Skip to primary navigation
  • Skip to content
  • Skip to footer
Dave Flanagan
  • Tags
  • About
    Dave Flanagan

    Dave Flanagan

    Turning research intelligence into R&D advantage

    • Germany
    • GitHub
    • LinkedIn

    AI4Research: A Survey of Artificial Intelligence for Scientific Research

    Friday, July 4, 2025 less than 1 minute read

    This is more of a survey than a critical review, and the equations on pages 8–10 seem unnecessary, but a potentially useful compilation map of what’s new as of July 2025.

    Direct Link

    Tags: link

    Categories: Blog

    Updated: Friday, July 4, 2025

    Share on

    LinkedIn Email Mastodon Bluesky
    Previous Next

    You May Also Enjoy

    Math and code got there first

    Tuesday, April 14, 2026 1 minute read

    Quanta Magazine has a piece this week on how AI has changed mathematical research — AlphaEvolve, LLMs as collaborative partners, problems that used to take m...

    Where graphs supplement LLMs 🔗

    Monday, April 13, 2026 less than 1 minute read

    Graph-based parsers appear to outperform LLMs on relation extraction — and the gap widens as relational complexity grows. A preprint out today from Gajo et a...

    MCP vs. Skills 🔗

    Sunday, April 12, 2026 less than 1 minute read

    A good breakdown of the MCP vs. Skills tradeoffs from David Mohl:

    The knowledge graph as digital twin

    Saturday, April 11, 2026 2 minute read

    A new paper from Wharton finds that LLM-generated Community Notes on X are rated more helpful than human-written ones across 108,000+ ratings. It’s a well-de...

    • Feed
    © 2026 Dave Flanagan. Powered by Jekyll & Minimal Mistakes.