Multi-Objective Design and Optimization of Hardware-Friendly Grid-Based Sparse MIMO Arrays
A design framework is proposed to optimize sparse MIMO (multiple-input, multiple-output) arrays for enhanced multi-target detection.
Read moreEnergy Efficient DNN Compaction for Edge Deployment
Deep Neural Networks (DNNs) have gained popularity in the realm of deep learning due to their learnable parameters that are essential for training and inference phases.
Read moreEvoPrunerPool from MulticoreWare – NEWK Workshop Paper
EvoPrunerPool, an Evolutionary Pruner for Convolutional Neural Network compression, frames the process of filter pruning as a search problem to discover the optimal set of pruners from a selection of pre-existing filter pruners.
Read more
