Forty years after its discovery, gluoNNet borrows name and logo from a particle called gluon. Gluons exchange a fundamental force, the strong force, and connect particles with each other. We identify us as gluons for three reasons: Our strong force is knowledge. We exchange knowledge by using algorithms developed in science, which we tailor for society. We connect people and institutions with each other for gluing projects together.
Gluons: particle connectors
In physics, gluons are particles that exchange one of the fundamental forces, the strong force, between other particles. gluoNNet exchanges the strongest force in life at the interface between science and industry: knowledge. Another similarity between gluoNNet and gluons is that gluons carry a colour charge, which is the reason why gluons are the strong interaction. More precisely, they carry a colour and a different anti-colour, but in nature only particles exist having a neutral colour. Therefore, a gluon always needs two companions, quarks, and “glues” particles together to form neutral-coloured larger particles, e.g., neutrons or protons, by exchanging its colour with the quarks’ one. We exchange problems with solutions. Bringing — or gluing — people together from different fields for exchanging knowledge by making smart decisions and highlighting unexpected connections is one of gluoNNet’s core missions. Thus, gluoNNet leaves traces in people’s life as gluons do in experiments, where their existence becomes evident by jets, a shower of particles interacting with the detector.
The curved line in the gluoNNet logo below the name is the gluon’s Feynman diagram. Feynman diagrams are visualizations of particles and processes taking place at very small distances. At the end of the 1930s, experimental and theoretical particle physics became two different fields more than ever when experimentalists and theorists used different words for the same thing. Richard Feynman invented a visualization scheme, the Feynman diagrams, in which every particle has its own drawing. Theorists and experimentalists were then able to express their thoughts and ideas in form of lines and curves on a blackboard, resulting in a better understanding between them. gluoNNet continues this art of explanation by using graph analyses to highlight unexpected connections in the data.