An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Abstract: This work proposes a neuromodulation-inspired spiking neural network using a ReRAM memory. A stashing-merging algorithm is realized to mimic the inherent neuromodulation in humans. While ...

PhysicsNeRF is currently under active development. This repository provides the general structure of the codebase and selected implementation components. The complete, fully optimized codebase will be ...

Single cell analysis is of paramount importance in cell biology. Cell populations are heterogeneous and the detection of subpopulations of cells and cellular events at the single cell level are ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

Abstract: The demand for edge artificial intelligence (AI) is significant, particularly in revolutionary technological areas such as the Internet of Things, autonomous driving, and industrial control.