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Handwritten notes from MIT 6.034 (Artificial Intelligence), Lectures given by Prof. Patrick Winston. Covers the biological inspiration for neural nets, the threshold and sigmoid activation functions and the mathematical machinery behind Support Vector Machines Notes on Support Vector Machine (SVM) theory.

A technical survey of pseudorandom number generator theory and statistical validation Abstract The mathematical integrity of any application relying on pseudorandomness depends critically on properties of the underlying pseudorandom number generator (PRNG) that are frequently underspecified in practice. This article surveys the structural properties of F₂-linear generators and their scramblers, including algebraic normal form analysis, equidistribution theory, and the word po

An exploratory project modeling kangaroo hop biomechanics from real motion-capture data, testing whether the motion pattern could help detect kangaroos on roads. Status: Exploratory / proof-of-concept (hobby project) Full source code: github.com/chai-ks/roo-spring-hop-model Why this project Kangaroo–vehicle collisions are a real road safety problem in Australia, and detection is hard: incidents are relatively rare (so labeled training data is scarce), and some vision-based s