Maximising efficiency is risky business (Part 3) - A view on interdisciplinary research
In the first article of this series I described how logistic chains work. In the second article, we went one step further and dived in the mathematics. In this third part I discuss some personal experiences and ideas regarding interdisciplinary research.
Maximising efficiency is risky business (Part 2) - The mathematics behind logistics chains
We can use mathematics and more specifically networks to study logistics chains. In the first article we described how logistic chains work. In this second part, we go one step further and dive in the mathematics.
Maximising efficiency is risky business (Part 1) - Logistics chains and cascading small delays
Think of a local car dealer selling cars in your region. To make sure new cars are delivered on time a whole mechanism involving various people, factories, and transport companies, must operate in coordination. This is a highly complex process where mathematics plays an important role.
Could the Future of Artificial Intelligence be Self-Organising?
One of the main building blocks of modern AI-tools are artificial neural networks, abstract models inspired by the structure and functions of biological neural networks which enable machines to "learn". In this article, I will discuss some thoughts on this topic.