This article presents the application of the proprietary technology of dynamic graph CNNs into heterogeneous, multiprocessing systems.

This article presents a new, radical CNN dynamic pruning approach targeting to the parsimonious inference by learning to exploit and dynamically remove the redundant capacity of a CNN architecture.

This article presents the application of the process of neural plasticity to deep learning.