Programmable logic can accelerate machine learning inference. Let's take a look at how we can use the Xilinx DNNDK to do this.
This project describes how to add support for ROS2 to the Tria Vitis Platforms.
A project to reinforce learning robotic arm grasping through Isaac Gym.
This project describes how it is possible to modify an existing code created for AIE to target AI Engine-ML device
We continue exploring Machine Learning on the giant new tiny device of Seeed XIAO family, the ESP32S3 Sense.
A tutorial about setting up Jetson TX2 with TensorFlow, OpenCV, and Keras for deep learning projects.
Build your own small autonomous car with Android Things.
Want to build your own TinyML image recognition application? This blog contains all the necessary details for you to get started
Machine learning does not have to be complicated models that cannot be deployed to MCUs, it could be a model-free learning algorithm.
A Pc runs with Deep Learning Algorithm. IoT device and PC connected in a network. camera image data predicted then sent to IoT.
GAN-based desk display that generates constantly changing natural landscape images
Create any 3D model fast by prompting in ChatGPT without using a CAD system. Create parts in STEP or STL format for manufacturing.
In this project we can see how to train a neural network using TensorFlow and implement it in Avnet Azure Sphere MT3620 and ESP32.
Startup guide for installing OpenCV 4.1 with extra lib for facial recognition using Raspberry Pi Camera. Includes scripts and files.
A medical alert system that alerts an emergency contact whenever it detects a fall.
Blind people have a big problem: they can’t see. Blindsight simulates a novel sense of sight with haptic feedback vibration motors and ML.
Classification of fruits with transfer learning using TensorFlow on Jetson Nano.
AI platform for healthcare simplifies EHRs by summarizing patient data from HL7 standards, improving treatment efficiency and care.
Thank the original author @Canghai
A 4 wheeled bot which can be trained to autonomously survey a known environment or can be controlled via a laptop or a phone!
This session focuses on running examples that demonstrate a data streaming into a basic Math kernel in NPU.
A Raspberry Pi 4, 3 or Zero 2 W surveillance camera with stand-alone AI, live streaming, email, cloud storage and GPIO triggers.
A realtime motion activated camera trap leveraging AI at the edge and Sigfox.
A walkthrough on setting up Arch Linux and Tensorflow with GPU support. Everything needed for a deep-learning workstation.
