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CAAIL

By the Numbers

A live snapshot of the library — how much it covers, where it’s deep, and (just as usefully) where it’s thin. The gaps are not hidden: sparse species pages and short coverage bars are the clearest places to contribute. All figures are regenerated from the canonical Markdown on every build.

197Papers
70Tools
72Databases
129Datasets
14Talks

Research coverage

The matrix maps 23 AI methods against 7 research areas — 42 of 161 cells (26.1%) carry at least one paper. Where the bars are short, the field (and this library) is still thin.

Media Optimization 14
Cellular Engineering 32
Bioprocess control 9
Scaffolding 4
Sensory Prediction 14
AI Tooling / Methodology 44
AI Evaluation & Benchmarking 20

Most-used methods

Benchmarks & Evaluation Frameworks 20
Domain-Specific Biomedical Agents 16
Deep Learning 15
Ensemble Learning 9
Scientific Literature & Discovery Agents 8
Bayesian Optimization 7
GNN 7
Agent Infrastructure (Frameworks, KGs, Protocols) 7
CNN 6
Active Learning 6

Datasets by species — where help is wanted

129 catalogued datasets across 14 pages — 108 per-species inventory rows, 7 on the reference pages, 14 benchmark datasets. The per-species deposit counts below show where the field (and this library) is still thin: 2 species pages are still a stub (0 deposits) — the clearest place to contribute. See Contributing to add one.

Cow 26
Pig 23
Fish 21
Crustacean 14
Chicken 11
Mollusk 6
Sheep 3
Duck 1
Goat help wanted
Turkey help wanted

Momentum

1dsince Papers.md last updated
42Papers.md commits · 30 days
1dsince Datasets last updated
26Datasets commits · 30 days