In our project, we enable the AI to learn from provided texts, allowing it to automatically write code and execute tasks to control myCobot.
Video walk-through demonstration of using the evaluation DEEPCRAFT™ Ready Models that are available within ModusToolbox™ Software.
Get started with AI on the Jetson Nano 4GB Developer Kit. Power up, connect, and explore endless AI possibilities with ease!
This guide provides detailed instructions for targeting the Xilinx Vitis-AI 1.2 flow for Avnet Vitis 2020.1 platforms.
This guide provides detailed instructions for targeting the Xilinx Vitis-AI 1.3 flow for Avnet Vitis 2020.2 platforms.
This guide provides detailed instructions for targeting the Xilinx Vitis-AI 1.4 flow for Avnet Vitis 2021.1 platforms.
Linux, Python 3.8.5, ResNet18 at 20 FPS - Jetson Nano alternative for 7.9 USD?
Texas Instruments Deep Learning API and examples ported onto BeagleBone AI's default Debian distribution image and mjpg-streamer filters.
Get started with TensorFlow object detection in your home automation projects using Home-Assistant.
This project walks through the build of an embedded Linux image for the Kria KV260 Vision AI starter kit using PetaLinux 2021.2
Learn how to update the streaming firmware on the PSoC™ 6 AI Eval Kit, to take advantage of the latest protocol and sensor support.
Xilinx just announced Kria™, their newest product portfolio. This project takes a sneak peek at the adaptive and production ready SOM.
Train a neural network model in 10 minutes, and use it on ESP32 with MicroPython to control a light switch. Everything done in browser.
In this tutorial we show how to build a cough detection system for the Arduino Nano BLE Sense using TinyML and Edge Impulse.
Learn how to turn audio into text with the free, open-source spchcat tool on a Raspberry Pi.
Train your machine learning models in Google Colab and easily optimize them for hardware accelerated inference!
Learn how to use machine learning on a Raspberry Pi in a remote environment (complete with cellular connectivity and solar power!).
This guide provides detailed instructions for targeting the Xilinx Vitis-AI 2.0 flow for Avnet Vitis 2021.2 platforms.
This project walks through how to prep an Ubuntu 18.04 desktop environment and install Vivado, Vitis, & PetaLinux version 2021.
Collecting and analyzing data to predict which F1 car will finish the race first.
When Xilinx launched Kria™, they also provided a method for quickly deploying apps. This project takes a look at creating a custom app.
Train a TensorFlow model to recognize certain keywords and control an RGB light strip using an Arduino Nano 33 BLE Sense.
How to easily employ AI image/sound recognition for your microcontrollers, even if you know nothing about machine learning.
Learn how to quickly develop TinyML models to recognize custom, user-defined drawn gestures on touch interfaces, embedded in low-power MCUs.
