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HNHiroyuki Nakahatablog.iroha1203.devJul 27 · 12 min read

The SAGA Comparison Theorem Preprint Is Out: Two Rulers, One Reading

TL;DR We have published a paper on Zenodo (DOI: 10.5281/zenodo.21603761, CC BY 4.0) that formalizes the "locally correct, globally broken" phenomenon of software architecture as mathematics, proves i

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MMonkzamonkza.hashnode.devJul 19 · 3 min read

Building a Percent Error Calculator: Turning a Simple Formula into a Practical Web Tool

When people think about web development, they usually imagine large applications like social media platforms, dashboards, or AI-powered products. However, some of the most useful projects are surprisi

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TTharuntharunpandya.hashnode.devJul 19 · 24 min read

How Matrix Multiplication Powers Face Recognition, ChatGPT & Self-Driving Cars

Try this for a second. Close your eyes, and have someone toss a small ball gently towards you. Try to catch it. Somehow, without doing any conscious "calculation," your brain combined information from

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LLukemeasurelogic.hashnode.devJul 13 · 3 min read

Building a Square Footage Calculator: Formula Logic Explained

Square footage calculators look trivial from the outside — multiply two numbers, done. But handling real-world rooms (irregular shapes, unit conversion, rounding edge cases) takes a bit more thought t

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NBNext Big Creativenextbigcreative.hashnode.devJun 10 · 2 min read

Beyond the Surface: Why Math.Floor and Math.Truncate Are Not the Same

As developers, we love efficiency, but sometimes efficiency breeds assumptions. A common assumption is that Math.Floor() and Math.Truncate() are completely interchangeable. If your software only proce

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FLFarzon Lotficodeblog.farzon.orgMay 2 · 3 min read

The Geometry of Light: Understanding the World Through Shaders

Writing code is usually seen as a pursuit of logic. An order of statements designed to solve a problem. But when you dive into the world of shaders, code starts to feel less like engineering and more

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김김이더radar92.hashnode.devApr 14 · 10 min read

To Teach AI How to Remember, First Teach It How to Forget 2/2

Code on GitHub. Paper on arXiv. More posts at radarlog.kr. Part 1 covered MemoryBank's architecture and how to use it. This part cracks open the engine. One formula. R = e^(−t/S). How it works, what happens when S changes, where to set the threshold...

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DSDoogal Simpsondoogal.devMar 28 · 5 min read

Fixing Biased Entropy: The Von Neumann Unbiasing Trick

TL;DR: I've found that hardware entropy sources are rarely uniform. To solve this, I use Von Neumann Unbiasing, which pairs bits and discards identical results (00, 11). By mapping 01 to 0 and 10 to 1

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AAAbstract Algorithmsabstractalgorithms.hashnode.devMar 9 · 11 min read

What are Logits in Machine Learning and Why They Matter

TLDR: Logits are the raw, unnormalized scores produced by the final layer of a neural network — before any probability transformation. Softmax converts them to probabilities. Temperature scales them b

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DKDeepak Kambalareverse-integer.hashnode.devFeb 13 · 1 min read

7. Reverse Integer

https://leetcode.com/problems/reverse-integer/description/ Core Idea Step 1: Handle Sign Store sign separately. Work with abs(x). Step 2: Reverse Digits Use: rem = num % 10 rev = rev * 10 + rem num = num // 10 Step 3: Restore Sign Instead of: re...

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#math

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Trending tags this week

The SAGA Comparison Theorem Preprint Is Out: Two Rulers, One Reading

Building a Percent Error Calculator: Turning a Simple Formula into a Practical Web Tool

How Matrix Multiplication Powers Face Recognition, ChatGPT & Self-Driving Cars

Building a Square Footage Calculator: Formula Logic Explained

Beyond the Surface: Why Math.Floor and Math.Truncate Are Not the Same

The Geometry of Light: Understanding the World Through Shaders

To Teach AI How to Remember, First Teach It How to Forget 2/2

Fixing Biased Entropy: The Von Neumann Unbiasing Trick

What are Logits in Machine Learning and Why They Matter

7. Reverse Integer