Algorithm Development

Hybrid In-Situ & Signal of Opportunity Calibration for Antenna Arrays

Hardware-Noise-Aware Training for Improved Accuracy of In-Memory-Computing-Based Deep Neural Networks

Binary Neural Network for Improved Accuracy and Defense Against Bit-Flip Attacks

High Performance Computing Framework for Accelerating Sparse Cholesky Factorization on FPGAs

Memory Efficient, Multi-Domain On-Device Machine Learning

Fast and Efficient Max/Min Searching in DRAM

Processing-In-Memory (PIM) Platform for mRNA Quantification

Weight-Agnostic Federated Neural Architecture Search

Masked-Based Learning Method for Neural Network Multiple Task Adaption

Temperature-Resilient RRAM-Based In-Memory Computing for DNN Inference