Mobile phones, ATMs, modern cars, televisions, e-readers: none of them would work without software. The heart of software is formed by algorithms: step-by-step procedures to perform given tasks.
The allocation of livers from organ donors to patients puts females at a disadvantage. A remedy was put into use in 2023, based on a common statistical model. This is expected to reduce sex disparity, but is not expected to solve the problem fully. Why? And what else can we do?
Elisabeth already has an idea in mind: she would like to find the fastest possible route that goes to each address exactly once before finally returning to the station. This task is a well-known mathematical problem, namely the Traveling Salesman Problem (TSP)! How can she solve it?
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.
Using data analytic techniques and Artificial Intelligence you can analyse data from hospitals and discover hidden patterns that allow us to often predict (within a margin of accuracy) failures before they happen. When a failure is predicted, we issue an alert and we plan for preventive maintenance by an expert engineer.
