Artificial Intelligence used in order to explore the Milky WayTo be able to process the petabyte of Gaia’s data are needed distributed computing techniques such as Artificial Intelligence.

30-31 Cygni( Palomar Observatory/STScI/WikiSky)

Binary stars are a couple of stars that orbit around a common mass centre and evolve together.

BINARY STAR

NGC 6565 (ESA/Hubble & NASA, ack.: M. Novak)

A planetary nebula is the outcome of an explosion to the interstellar medium of the majority of the mass of a fading star in the shape of a shell of gas and dust. An example is nebula NEG 6565.

PLANETARY NEBULA

Illustration of the star SO25300.5+165258 (NASA/W. Feimer)

Type M stars are relatively cold, red and the most plentiful. Proxima Centauri, the nearest star to Earth, is an example.

M STAR

17

In 1950 Alan Turing wonders himself

“Can machines think?” In that moment

Artificial Intelligence was born, nowadays

it is still developing.

A. Turing (King's College Library, Cambridge)

Feedback Neuronal networks

First of all, neuronal networks are trained with a set of known examples. Afterwards, they are able to obtain new and unidentified object properties. We can determine the temperature, gravity and chemical composition of stars with this technique.

Artificial Intelligence techniques are of great help soughting for patterns and making decisions. Regarding Gaia, they are used to analyse millions of objects spectrums taken with RVS instrument.

These networks are especially useful when a group of unknown objects can be joined together into different types or ranks. Near objects in the map would have similar properties. Once information is organized, it enables to analyse more efficiently the data base.

Self-Organizing Map (SOM)

1) GAIA TAKES STARS SPECTRUM

2) SPECTRUM ARE ANALYSED BY NEURONAL NETWORKS

3) STARS ARE CLASSIFIED INTO GROUPS WITH DIFFERENT PROPERTIES