I think the connection is that the authors could convincingly write a paper on this connection, thus inflating the AI publication bubble, furthering their academic acumen and improving their chances of getting research grants or selective jobs in the field. Some other interests of the authors seem to be detecting exoplanets using AI and detecting birds through audio analysis.
Since nobody can really say what a good AI department does, companies seem to be driven by credentiallism, load up on machine learning PhDs and masters so they can show their board and investors that they are ready for the AI revolution. This creates economic pressure to write such papers, the vast majority of which will amount to nothing.
I think a lot of the time you would be correct. But this is published to arxiv so it’s not peer reviewed and doesn’t boost the authors credentials. It could be designed to attract attention to the company they work at. Or it could just be a cool idea the author wanted to share.
Since nobody can really say what a good AI department does, companies seem to be driven by credentiallism, load up on machine learning PhDs and masters so they can show their board and investors that they are ready for the AI revolution. This creates economic pressure to write such papers, the vast majority of which will amount to nothing.