A data processing system generates part-input feature maps from input feature maps and convolves these segments with filters to produce output maps.
Autoencoder-based non-linear masking transforms sensitive data into encoded forms for machine learning training.
A reconfigurable neuromorphic processor uses dynamic instruction sets and segmented synapse arrays to execute complex tasks.