Coffee and PI

The Parents’ Paradox: AI, Ethics, and the Limits of Machine Morality This post is based on a talk I gave at The AI & Automation Conference in London on February 25, 2026, and my slides.

Introduction Imagine you are working at a major investment bank like J.P.

Support Vector Machine is a supervised learning type of algorithm and its goal is to find the optimal hyperplane which separates clusters of data.

Regression models are most studied and best understood models in statistics.

Introduction More data has been created in the last two years than in the entire history of human race and the amount of data keeps growing at the unprecedented rate.

In the previous post I have been talking about multiple linear regression, preparing the data and model predictions.

Problem description We have CSV file containing information about 50 companies.

This is the third part in a series of Lax Pair and Nonlinear Schrödinger (NLS) Equation (view the previous post here ) In this section we will study the ZS system where the Lax operator has the form: where We assume that potential satisfies the following…

The idea behind Lax Representation (Lax Pair) is that the nonlinear PDE can be expressed as a compatibility condition of two linear equations.

Operator L has continuous and discrete spectrum in general so we can separate solutions into two groups: Solutions parametrized by data on the continuous spectrum only Solutions parametrized by the data on the discrete spectrum, which are known as soliton…