Two input XOR logic is implemented with an artificial neural network written in MicroPython on a Raspberry Pi Pico microcontroller as an educational exercise of applying artificial intelligence to control machinery (LEDs in this example).
The intent of the presentation is to provide enough detail for others to get started on their own projects incorporating an artificial neural network on a microcontroller (or single board computer).
I’ll be presenting referring to a document that will be available at a GitHub repository (along with MicroPython code and a couple of Jupyter-Notebook files that will be discussed during the presentation): https://github.com/James-Canova/XOR_NN.git
Where: White Spot (Mt Newton & Pat Bay Hwy)
When: 9:30-10a Beverages & Conversation
10a Presentation
This is a Hybrid meeting (in-person and on Jitsi)
NOTE: The online server is only available during meeting times, so if you click on the link below and it doesn’t work then there is no meeting and this is normal.
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