I recently collaborated with one of my colleagues to implement a Convolutional Neural Network for a quality control Kaggle challenge. Questions or comments? Let us know on GitHub!

Motivation In a previous post, we learned the theory behind Wheatstone bridges and how we could use them to interface with RTDs. Our next step is building something useful with temperature data, a task that microcontrollers are well-suited for. Despite… Read More »Using DMA with the STM32 Microcontroller

Introduction Currently, I’m building a circuit to measure temperature using a resistive temperature device (RTD). Like their name implies, RTDs change resistance in response to temperature changes; thus, the accuracy of a RTD setup is dependent on how accurately we… Read More »Using Wheatstone Bridges with RTDs

Inspiration Working in the cybersecurity field, I build alert pipelines that categorize threats based on predefined conditions. For example, was a certain IoC observed? Were any CrowdStrike policies activated? Neural networks can help us build better threat detection models by… Read More »Training a Neural Network for Cybersecurity

What is Boolean algebra? We’ve been doing arithmetic on base-10 numbers since grade school. We learned a few primitive operators—addition, subtraction, multiplication, division—and used them to manipulate operands. Digital logic follows the same idea in the base-2 realm. We can… Read More »Digital Logic Design: Boolean Algebra