Vitis-AI provides a zoo of pre-built models. This project describes how to leverage these models to implement license plate recognition.
This guide provides detailed instructions for targeting the Xilinx Vitis-AI 1.2 flow for Avnet Vitis 2020.1 platforms.
ThunderGP enables data scientists to enjoy the performance of FPGA-based graph processing without compromising programmability
Check out the winning startups in our very first Adaptive Computing Challenge!
DeepField-SR: AI-based Super-Resolution Accelerated by Xilinx FPGA Cards
Project Yaddle: Molecular Dynamics Simulation Solution on Xilinx FPGA for Drug Discovery Market
FPGA-powered Interactive Analytics