Papers Explorer

The matrix below maps AI methods against the 7 research-area columns (distinct from the deep-dive Research Areas pages). Cell shade = paper count; click a cell to read its references.

All areasMedia OptimizationCellular EngineeringBioprocess & Scale-UpScaffoldingSensory PredictionAI Tooling / MethodologyAI Evaluation & Benchmarking

Media OptimizationCellular EngineeringBioprocess & Scale-UpScaffoldingSensory PredictionAI Tooling / MethodologyAI Evaluation & Benchmarking

method ↓ / area →

Media Optimization

Cellular Engineering

Bioprocess & Scale-Up

Scaffolding

Sensory Prediction

AI Tooling / Methodology

AI Evaluation & Benchmarking

Bayesian Optimization

1012

Deep Learning

378313

GNN

541

CNN

3414

GAN / VAE

2111

Genetic Algorithms

641

SVM

155

Ensemble Learning

343101

K-Nearest Neighbors

12

Linear & Regularized Models

11

Chemometrics

122

Active Learning

622

Reinforcement Learning

241

Foundation Models: Next-Token Prediction

312

Foundation Models: Masked Language Modeling

33

Foundation Models: LM + Biological Priors

1

Foundation Models: Cell-State & Perturbation Prediction

31

Foundation Models (other modalities)

23

Scientific Literature & Discovery Agents

10

General-Purpose Biomedical Agents

8

Chemistry / Synthesis Agents

2

Domain-Specific Biomedical Agents

314

Robot Scientists & Lab Automation

216

Benchmarks & Evaluation Frameworks

22

Agent Infrastructure (Frameworks, KGs, Protocols)

10

Select a cell to read its references.