The pitfalls of over-reliance on AI for self-directed learning
Do you over-rely on AI? Understand the risks of using AI for self-directed learning. Struggle productively. Reclaim your critical thinking.
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Convolution, Kernels & Filters: A Beginner’s Guide to Edge Detection
Ever noticed how your brain just knows where one object ends and another begins? That instinctive separation is a fundamental part of how we perceive the world. And computers? Well, they just need a bit more help.
In computer vision, edge detection is the process of teaching machines to recognise those boundaries, outlines, and transitions in intensity that define structure in an image.
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Still copy-pasting into ChatGPT? Here’s how to turn your ideas into AI-powered apps
You’re staring at ChatGPT. You’ve done this a hundred times before: typed a question, copied a response, pasted it into some half-built project or document. Maybe it helped. Maybe it wasn’t quite what you were looking for. But here’s the thing no one tells you: that chat box you’re using? It’s not the product. It’s the demo.
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22/7 and the Approximation of Irrational Numbers
Irrational numbers are somewhat difficult to work with. Unfortunately, they’re also quite useful and crop up both in pure and applied mathematics, and tons of places you may not expect. When written in decimal form, they result in an infinite sequence of numbers with no apparent pattern. If we round or truncate this number, we lose accuracy and introduce some level of error into any calculation.
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Formal Grammars – The Hidden Mathematics of Language
Languages follow invisible rules we rarely notice—but what if we could describe them with math? This article breaks down formal grammars and shows how they underpin both human language and computer logic.
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Mountains, Cliffs, and Caves: A Comprehensive Guide to Using Perlin Noise for Procedural Generation
Unlock the power of Perlin Noise in procedural terrain creation. Learn how to implement it from scratch, adjust octaves, lacunarity, persistence, and even extract real-world height distributions – to craft mountains, cliffs, and cave systems with precision and creativity.
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From Love to Logic: How Algorithms Decide Our Matches
Explore the Gale-Shapley Algorithm and the Stable Matching Problem. Learn how algorithms create stable pairings, not just perfect matches.
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The Bridges of Königsberg
The sun dipped low over the bustling City of Königsberg, casting golden reflections over the Pregel River. Its waters divided the town into four distinct land masses, connected by seven foot-bridges that had become a curious point of both pride and frustration for its residents. By day, the bridges bustled with merchants and townsfolk, but as the evenings drew in, they became the source of a mysterious puzzle. Could someone, starting from any point on land, cross each of the seven bridges exactly once and return to where they began? It may sound simple, almost trivial, yet no matter how the townspeople tried, no one could find a solution.
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Turing’s Turochamp: The Birth of AI in Games
Alan Turing, a pioneering figure in the world of Computer Science, is often celebrated for his work on breaking the Enigma code during World War II. However, one of his lesser-known achievements is creating one of the first chess algorithms — a small yet significant early step in the development of artificial intelligence systems.
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The Hunt For Prime Numbers
Prime numbers are among the most intriguing puzzles in mathematics — seemingly random yet deeply significant.
Their elusive pattern defies easy detection, making them both a source of fascination and frustration. The challenge grows exponentially with larger numbers, where determining if a number is prime becomes immensely time-consuming.
However, some clever shortcuts can speed up the search and help us swiftly eliminate impostors.
