An exoplanet is a planet that orbits another star other than the Sun; since 1988, more than 4,300 of them have been confirmed. This catalogue provides a visual way to visualise exoplanets in their solar systems, together with their habitable zones. The data comes from the NASA Exoplanet Archive and it only includes all the confirmed exoplanets since January 2021. For more information about exoplanets, you can check the main article here.
This is the complementary article to the short documentary about Conway’s Game of Life. Join me, as we celebrate the 50th anniversary of its original publication in the October 1970 issues of Scientific American.
This is the complementary article to the short documentary titled “The AI of Creatures“, which provides links, references and resources for you to delve further into the world of Creatures.
Join me as we travel back in time to revisit this old classic that literally made the history of Artificial Intelligence AND Artificial Life.
This online course introduces the topic of modelling and simulating epidemics. If you are interested in understanding how Mathematicians, Programmers and Data Scientists are studying and fighting the spread of diseases, this series of posts is what you are looking for.
The third, and final part of this course will focus on different strategies that can be used to explore different mechanisms of transmission, and possible interventions.
This online course is inspired by the recent COVID-19 pandemic. Now more than ever we need skilled and passionate people to focus on the complex subject of Epidemiology. I hope these articles will help some of you to get started.
All the revenue made from this article through Patreon will be donated to the National Emergencies Trust (NET) to help those most affected by the recent coronavirus outbreak. If you have recently become a patron for this reason, get in touch and I will add your contribution.
This is the second part of the online course dedicated to the modelling and simulating of epidemics. If you are interested in understanding how Mathematicians, Programmers and Data Scientists are studying and fighting the spread of diseases, this series of posts is what you are looking for.
In the second part, we will focus on ways to simulate epidemics. While the code here presented is in C# and runs in Unity, the knowledge can be applied to virtually any other language or engine.
This online course is inspired by the recent COVID-19 pandemic. Now more than ever we need skilled and passionate people to focus on the complex subject of Epidemiology. I hope these articles will help some of you to get started.
All the revenue made from this article through Patreon will be donated to the National Emergencies Trust (NET) to help those most affected by the recent coronavirus outbreak. If you have recently become a patron for this reason, get in touch and I will add your contribution.
And if you are interested in learning more about the virus responsible for the COVID-19 epidemics, SARS-CoV-2, have a look at the semi-serious video down below.
This post describes how to model the density of the atmosphere at different altitude. This is a critical step, since the atmospheric density is one of the parameters necessary to correctly calculate the Rayleigh scattering.
This post introduces the Mathematics of Rayleigh Scattering, which is the optical phenomenon that causes the sky to appear blue. The equations derived in this tutorial will be translated into shader code in the next tutorial.
This is the second part of the tutorial on volumetric atmospheric scattering. In this post we will start deriving the equations that govern this complex, yet beautiful optical phenomenon.