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Understanding Multiple Neighbourhood Cellular Automata
Multiple Neighborhood Cellular Automata (MNCA) produce complex and robust emergent structures not commonly seen in simpler models
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The latest blog posts to take off on Hacker News. 163 posts.
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How inevitable is the concept of numbers?
Stephen Wolfram considers if numbers are actually required, the use of symbolics and the potential for the growing role of computational irreducibility.
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Need Something Sorted? Sleep on It
An unexpected paradigm journey into sleep sort
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An Interactive Guide to the Fourier Transform (2012)
The Fourier Transform is one of the deepest insights ever made. Unfortunately, the meaning is buried within dense equations:
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The stack monoid revisited
This is a followup to my previous post on the stack monoid, but is intended to be self-contained.
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Game theory as an engine for large-scale data analysis
Modern AI systems approach tasks like recognising objects in images and predicting the 3D structure of proteins as a diligent student would prepare for an exam. By training on many example problems, they minimise their mistakes over time until they achieve success. But this is a solitary endeavour and only one of the…
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The Hypnotic World of Degenerate Spirals
Doga Tekin's website.
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How to Teach Math?
The only way to learn mathematics is to do mathematics—Paul Halmos Angie Hodge is an Associate Professor of mathematics at Northern Arizona University. Her interests as stated on her website …
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Programming in Z3 by learning to think like a compiler
Programming in logic can help you produce better optimized, more secure, bug-free code … if only you knew how to do it.
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The art of solving problems with Monte Carlo simulations
Using the power of randomness to answer scientific questions.
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What3Words – The Algorithm
What3Words is a widely promoted system that is used for sharing a location using just three words. For example, ///wedge.drill.mess is located in Hyde Park.The globe is divided into 3m squares, eac…
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Evolution of Random Number Generators
Prime powers have a kinda chaotic pattern in their bits. We bootstrap this idea into a good random number generator, recapitulating history.
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Hopfield Networks Is All You Need
Blog post
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The Fourier transform is a neural network
The site of Sid
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EU proposing to regulate the use of Bayesian estimation
The European Commission just released their Proposal for a Regulation on a European approach for Artificial Intelligence . They finally get around to a definition of “AI” on page 60 of the report (link above):
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Dynamic Programming vs. Divide-and-Conquer (2018)
In this article I’m trying to explain the difference/similarities between dynamic programing and divide and conquer approaches based on two examples - binary search and minimum edit distance (Levenshtein distance)
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The Boyer-Moore Fast String Searching Algorithm
Our algorithm has the peculiar property that, roughly speaking, the longer the pattern is, the faster the algorithm goes. Furthermore, the algorithm is ``sublinear'' in the sense that it generally looks at fewer characters than it passes. The algorithm is described in
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Deriving the piano keyboard from biological principles using clustering
Once upon a time we were creatures in the wilderness and we evolved the ability to hear sounds. Now here's an interesting thing, if you hear a sound of frequency f and others of frequency 2f, 3f, etc then there's a good chance these sounds come from the same object, due to the physical principle of resonance . And so…
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Floor, Ceiling, Bracket
The notation [x] reigned for nearly two centuries before being replaced by ⌊x⌋. Why the latter is much better and what else we might learn from its inventor.
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Watertight vector maps from raster images
Or, “how not to GIS”.
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Are deep neural networks dramatically overfitted? (2019)
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Ergodicity, What's It Mean
Ensemble averages and time averages
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Why machine learning struggles with causality
Machine learning systems thrive on finding and exploiting statistical regularities. This is why they can't do causal reasoning.
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Evaluating Search Algorithms
The three-step framework Shopify's Data Science & Engineering team built for evaluating new search algorithms.
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TLA+ Action Properties
There’s not a whole lot on TLA+ technique out there: all the resources are either introductions or case studies. Good for people starting out, bad for people past that. I think we need to write more intermediate-level stuff, what Ben Kuhn calls Blub studies. Here’s an attempt at that. Most TLA+ properties are…
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Speech to Birdsong Conversion
A blog about signals, programming, music, and other stuff.