Website Nautilus has an entertaining and well-researched long story about the history of humanity’s attempts to make sense of the huge mass of data that we have collectively produced, starting with the work of Belgian librarian Paul Otlet, who in the early 1900’s set out to classify and index all human knowledge into one huge networked database. Apparently, “big data” was a hot topic a century ago as well…
Otlet's Universal Bibliographic Repertory [1]
By Zinneke - Own work, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=4427401
In this article, we will discuss a mathematical riddle that "seems impossible even if you know the answer". It is better known as the 100 prisoners problem.
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.
After having a near-fatal accident falling off his horse, Prussian footman Hans Berger (1873—1941) was surprised to learn that his sister had—being kilometers away—him a telegram to let him know that she sensed he was in grave danger.
