A Scalable Parameterized OpenCL-Defined Accelerator Architecture for Efficient Convolutional Neural Network (CNN) Inference on FPGAs

Computing & Information Technology

A Scalable Parameterized OpenCL-Defined Accelerator Architecture for Efficient Convolutional Neural Network (CNN) Inference on FPGAs

Generic Compression Ratio Adapter for End-to-End Data-Driven Image Compressive Sensing Reconstruction (EDCSR) Frameworks

Data Driven Framework for Actionable Feedback in Insulin Management for Type 1 Diabetic Patients on Artificial Pancreas

Text Representation Learning for Preserving Textual Privacy and Utility of User Data

Framework for Extreme-Scale Heterogeneous High-Performance Computing (HPC)

Pruning Binary Neural Networks (BNNs) for Model Compression and Inference Acceleration

A Mutually Inhibitory Network with Positive Autoregulation and Communications (MINPAC)

System to Design Self-Assembled Nanostructures with Patchy Particles

System for Quantification of Human Sensory Cortical Areas

Data-Driven Nonuniform Subsampling for Computation-Free Compressive Information Acquisition