<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Artificial intelligence is widely spreading in all modern technologies. Such a very powerful methodology can have important applications in radio astronomy technology, for instance, in the new DBBC4 VLBI backend development project and in the low frequency array AntArr under development on the Etna slopes in Italy.</p>
<p>In the present paper, we describe the method currently adopted for those projects and some possible applications, which could provide substantial new features in this decade to the radio astronomy science and technology.</p>
</abstract>

Artificial intelligence is widely spreading in all modern technologies. Such a very powerful methodology can have important applications in radio astronomy technology, for instance, in the new DBBC4 VLBI backend development project and in the low frequency array AntArr under development on the Etna slopes in Italy.
In the present paper, we describe the method currently adopted for those projects and some possible applications, which could provide substantial new features in this decade to the radio astronomy science and technology.

Artificial Intelligence Meets Radio Astronomy

Latvian Journal of Physics and Technical Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Artificial Intelligence Meets Radio Astronomy"}

Artificial intelligence is widely spreading in all modern technologies. Such a very powerful methodology can have important applications in radio astronomy...

Artificial Intelligence Meets Radio Astronomy

Online veröffentlicht: 23. Juni 2022

Seitenbereich: 82 - 95

DOI: https://doi.org/10.2478/lpts-2022-0027

Schlüsselwörter
Artificial intelligence, DBBC, radio astronomy, radio interference

© 2022 G. Tuccari et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Artificial Intelligence Meets Radio Astronomy

Online veröffentlicht: 23. Juni 2022

Seitenbereich: 82 - 95

DOI: https://doi.org/10.2478/lpts-2022-0027

SchlüsselwörterArtificial intelligence, DBBC, radio astronomy, radio interference

© 2022 G. Tuccari et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Artificial intelligence, DBBC, radio astronomy, radio interference