News
Updates from the lab and the scholarly platform. Editorial placeholders — no invented customers or pricing.
Our research covers the most significant areas in modern machine learning.
Tabular data
Two-dimensional tables (rows/columns) used for classification, regression, and ranking.
Large-scale machine learning
Training powerful models efficiently and making resources accessible to the community.
Generative models
Their power in computer vision for image generation and various applications.
Graph machine learning
Representing data from social networks, molecules, and text, and analyzing graph-structured data.
Neural algorithmic reasoning
Building models that execute classic algorithms, combining neural networks with theoretical guarantees.
Computer vision
Contributions to the community, specifically in image retrieval and generative modelling.
News
Metademic joins the Open Research Coalition
Committing our journals and tooling to open, verifiable scholarship.
4 min readRACoN: early preview for research partners
A distributed LLM system designed for scientific work — now in limited preview.
6 min readmetademic.com: faster discovery across journals and profiles
Updates to search, article pages, and researcher profiles on the live platform.
3 min readOpen Research report 2026
What we published, reviewed, and opened this year — and what remains to do.
8 min readRetraction and correction principles
How we handle errors in the scholarly record, with examples from metademic.com.
7 min readBuilding for science, not for feeds
On infrastructure that rewards citation over virality.
5 min read