Feature Casualties of Large Databases

What machines can and can't do

Protein folding & The AI 'Solution' : A primer for non-scientists

Issue #41


A Byte of Coding Issue #41
“I must not fear. Fear is the mind-killer. Fear is the little-death that brings total obliteration. I will face my fear. I will permit it to pass over me and through me. And when it has gone past I will turn the inner eye to see its path. Where the fear has gone there will be nothing. Only I will remain.” - Dune, Frank Herbert

I always liked that quote. The books are pretty good too. Anyone got any good sci-fi recommendations?

Here's the issue.

Feature Casualties of Large Databases

Published: 1 December 2020
Tags: databases

Big databases can get out of hand pretty quickly. Throw quickly written code and not following best practices, and it can be a complete nightmare. In this article, Brandur Leach covers some of the first things that (wrongly) get dropped first when databases start becoming a mess.

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What machines can and can't do

Published: 1 December 2020
Tags: machine learning, philosophy

If you want a good intro to the article, open it up and read the first paragraph. All I'll say is that Ramkumar Ramachandra does an excellent job of exploring the limitations of machines, potentially dispelling fears that people might have about machines replacing us.

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Protein folding & The AI 'Solution' : A primer for non-scientists

Published: 29 November 2020
machine learning, biology

Following along in the machine learning thread, Abhirath Batra's article is about one of the areas of biology where machine learning and computational power gets used and abused (in a good way). Abhirath introduces and discusses the complex world of modelling protein folding and some of the interesting approaches used by computer scientists and deep learning models.

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