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“A bird feeder with bird classification machine learning elements for alerting in the event of unique bird visits. Story I started this project with an intent to create a machine learning device to alert when dogs entered the dog park …
“In a world where communication is the cornerstone of human connection, there exists a gap that separates Deaf people from us. I was profoundly worried about the unhappy lives of Deaf individuals in a busy suburban town and how they …
“An opensource DIY self driving platform for small scale cars. RC CAR + Raspberry Pi + Python (tornado, keras, tensorflow, opencv, ….) What can you do? - Build your own toy car that can drive itself. - Drive your car with your phone or laptop …
News STMicroelectronics extends STM32Cube.AI development tool with support for deeply quantized neural networks
“STMicroelectronics has released STM32Cube.AI version 7.2.0, the first artificial-intelligence (AI) development tool by an MCU (microcontroller) vendor to support ultra-efficient deeply quantized neural networks. STM32Cube.AI converts pretrained neural networks into optimized C code for STM32 microcontrollers …
“A T-800 skull that can talk, listen and detect humans/objects using ML. The Skynet funding bill is passed. 314Reactor, the creator which made the machines, made two Terminator skulls with a single board computer. Their mission: to make a …
“Want to build your own TinyML application? This is a detailed approach to getting started with TensorFlow Lite for Microcontrollers! In the summer of 2022 I was selected to participate in the Google Summer of Code (GSoC) under TensorFlow. While …
“Measure the weather and stay aware of climate change! Ever want to know exactly what the weather is like outside? Curious about how climate change has influenced your local weather? Do you want to know what the previous weather records …
“Is easy to run large Machine Learning models in the cloud with large computational and memory resources. What about in the Arduino Nano? Deep Learning Workflow In this project, the steps followed to implement our person detection application are the …
“This is a tutorial for MNIST data recognition using Tensorflow lite/micro on Sony Spresense Main Board. This project describes how to model a neural network using Tensorflow 2.8.0 (Keras), generated the trained model, and tried to run …
“Collate forearm muscle soreness data on the SD card, build and train a neural network model, and run the model directly on Wio Terminal. Supplies 1 x Wio Terminal 1 x Grove - GSR Sensor 1 x Grove - EMG Detector 1 …