When you think of Arduino projects, your mind likely goes straight to RFID door locks, weather sensors, or automated plant watering systems. While these are undeniably pretty cool projects, you might ...
Arduino library for the KY-040 Encoder. This library allows the user to connect one or more encoders to any of the interrupt pins supported by your board. The user may then add rotaries that will each ...
The 8051 was an 8-bit Harvard-architecture microcontroller first put out by Intel in 1980. They’ve since discontinued that line, but it lives on in the low-cost STC8 family of chips, which is ...
An unexpected revisit to my earlier post on mouse encoder hacking sparked a timely opportunity to reexamine quadrature encoders, this time with a clearer lens and a more targeted focus on their signal ...
Arduino is being acquired by Qualcomm subject to regulatory approval for an undisclosed sum. Qualcomm Arduino introduces a new UNO form factor board, the Arduino UNO Q, which features both a STM32 MCU ...
Adobe Media Encoder allows you to export media files and convert them to other file types. Other compositions used with AME and corrupted CC media files can prevent the feature from working. Resetting ...
Paul and David Bradt’s Ardiono Projects offers multiple ways to use Arduino and Raspberry Pi microcontrollers for your model railroading projects. Buy the book here. Code for Button/Blink Test (SN095) ...
Embedr is an AI-powered Arduino-like IDE designed to simplify development for Arduino-compatible microcontrollers. It looks very similar to the Cursor code editor and uses Microsoft’s Monaco Editor ...
Arduino recently announced that their Cloud Editor now includes an AI assistant based on Anthropic’s Claude large language model (LLM). The AI assistant is designed to make the coding experience ...
Precision of rotational and linear measurement underpins motion control systems, and optical encoders are a mainstay in delivering this. Converting mechanical motion into digital signals enables ...
Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...
Code embeddings are a transformative way to represent code snippets as dense vectors in a continuous space. These embeddings capture the semantic and functional relationships between code snippets, ...
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