#Shorts - Wordle solving robot - Witness the incredible Wordle-solving robot in action! Click through to see how this fascinating machine tackles the popular word puzzle with ease.

Coming soon - ESP32: Asteroids with Lasers - Get ready to dive into an in-depth discussion on cutting-edge technology and stay updated with the latest trends in this highly engaging YouTube video! Don't miss out on this dose of tech inspiration!

Vision framework and CoreML - Discover the seamless integration of Apple's Vision framework with Core ML for object identification in this astounding demonstration, and lock onto the project at GitHub.

Build Your Own Voice-Controlled Robot with ESP32 & TensorFlow Lite - Learn how to create a voice-controlled robot using ESP32 and TensorFlow Lite with this step-by-step guide on creating neural networks, generating training data, and implementing firmware codes.

Wordle-Solving Robot: Raspberry Pi & 3D Printer Magic! - Learn how a Wordle-solving robot was built using a 3D printer and a Raspberry Pi, tackling challenges like locating the phone screen, mapping printer bed coordinates, and selecting the best possible guesses.

Augmented Reality In The Browser - This blog showcases the progress of my idea to create an augmented reality Sudoku solver using technology that enables us to solve puzzles in our browser rather than with dedicated apps. I have developed an AR Sudoku solver with a simple image processing pipeline. It identifies and extracts Sudoku puzzles from pictures, recognizes each cell's numbers, solves the puzzle, and renders the solution on top of the original image. This process is accomplished by converting the image to greyscale, conducting thresholding, OCR-processing, and puzzle-solving. I've also done parallel image location and extraction. It's a technical journey that's achieved some high-quality, low-drift results, visible in the video included. The full codebase is accessible on Github. Enjoy the joy of leveraging technology to efficiently solve Sudoku puzzles!

Launching the MakerNews Email List - Battling YouTube's frustrating algorithms, I’ve decided to take matters in my own hands. Why rely on YouTube to reach my audience when I, along with a group of fellow Makers around the world, can start up a newsletter to directly connect with our fans? To spice things up, this won't be just about showcasing our work. We plan on sharing a curated list of interesting content, compelling long reads, plus some spotlight features on lesser-known Makers. Ready to shake things up a bit? Subscribe and share our newsletter with your friends! Your engagement is the best way to defy the algorithmic tyranny!

AI Tools in Coding: Progress or Just Optimization of the Status Quo? - Pondered the future of coding with a colleague of mine recently, as one does. Couldn't help feeling a tad underwhelmed by the programming tools like GitHub's Copilot X and ChatGPT. Sure, these AI-powered coding buddies are smart, helpful and do save time, but they more or less tinker around the edges - optimize the existing processes but don't fundamentally alter them. Software development still remains a tedious enterprise - a loop of problem-definition, code-generation, code-validation, and feedback. Not so different from what it was 30 years ago really. We're surrounded by subpar software everywhere - the bugs, the slowness, the vulnerability. My, what a mess! We need a massive, transformative solution. Imagine an AI system that could take high-level concepts and materialize fully functional apps from them! We've seen glimpses of such capabilities in ChatGPT, generating apps from sketches, but that's just it - glimpses. Still a long way off. My hope for the future? An era where writing code is antiquated. We instruct AI to generate, tweak, even test code - on a constant iterative feedback loop. Maybe, what we know as 'code' could be on the cusp of extinction, replaced by something machines create and understand - and we don't. A brave new world, indeed!

Messing around with the XBOX Kinect - During my recent trip to Scotland, I teamed up with my friend, Rob, to integrate Kinect with my game, Aliens Invade. We worked with OpenNI and NITE for person tracking and pose detection after the initial hurdles with raw depth data. The game now requires the player to physically run left or right to dodge bullets, and fire by waving their hands. It not only works well but adds a lot of fun to the classic space invaders game!

Why does ChatGPT make mistakes - a layman's explanation - In this enlightening blog post, I dive into the tantalizing world of ChatGPT and Large Language Models. Clarifying its operation, I unlock this enigma by comparing its mechanisms to a simple language model. However, Challenges arise due to the explosion of possible token combinations, leading to an inherent 'lossy' compression of our world's vast information. Surprisingly, even with such compression, these models can mimic human language in a compelling manner. I also investigate possible strategies to optimize this amazing technology - including zero-shot learning, one-shot learning, few-shot learning, and fine-tuning. Entering the era of prompt engineering and larger models, we're stepping into a thrilling future, so buckle up, folks!