Machine Learning

Programmable In-Memory Computing Accelerator for Low-Precision Deep Neural Network Inference

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

Memory Efficient, Multi-Domain On-Device Machine Learning

Multi-fidelity Data Aggregation using Convolutional Neural Networks

Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing

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

Cyber-Physical Interaction Aware Test Case Generation to Identify Operational Changes

Multi-Aircraft Trajectory Prediction Using Bayesian Spatio-Temporal Graph Transformer Network