Rogue Scholar Posts

language
Dark MatterData InterpretationGalaxy FormationLCDMPersonal Experience
Published in Triton Station

The mass distribution of dark matter halos that we infer from observations tells us where the dark matter needs to be now. This differs form the mass distribution it had to start, as it gets altered by the process of galaxy formation. It is the primordial distribution that dark matter-only simulations predict most robustly.

SpatialSpatial-patternsSpatial-machine-learningRstatsRspatial
Published in Thinking in spatial patterns

Slides: https://jakubnowosad.com/rome2025 Video recording: https://youtu.be/uZe7thh80MI Reproducible code: https://jakubnowosad.com/rome2025/index.R Geospatial predictive mapping is a common task across many domains, aiming to produce continuous surfaces from point observations and spatial predictors.

AiEvidenceLlmsEvidence
Published in Anil Madhavapeddy's feed

Our neighbours France and the UK announced a Franco-British AI collaboration a few months ago dubbed the Entente CordIAle. Last week we held a couple of days of workshops with our Oxford and French buddies deep diving into details of what a partnership might actually involve; a particular pleasure with France given my group's long history of working with Inria on OCaml and other open source projects.

Large Language ModelAi Search
Published in Aaron Tay's Musings about librarianship
Author Aaron Tay

The Model Context Protocol may fundamentally change how AI tools access academic content. Rather than AI powered search engines building massive centralised indexes, MCP allows AI models to connect directly to publisher content in a real-time federated search model.