Insect cyborgs: Bio-mimetic feature generators improve machine learning accuracy on limited data

Understand

Machine learning (ML) classifiers always benefit from more informative input features.

• We seek to auto-generate stronger feature sets in order to address the difficulty that ML methods often experience given limited training data.
• A wide range of biological neural nets (BNNs) excel at fast learning, implying that they are adept at extracting informative features.
• We can thus look to BNNs for tools to improve ML performance in this low-data regime.