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Google’s winning the AI arms race and scientific publishing is its weapon of choice

Posted: 31 March 2017 | By Darcie Thompson-Fields

Google published 218 journal or conference papers on machine learning in 2016, that nearly twice as many as it did two years ago.

MIT Technology Review has discovered that the search giant’s investment in artificial intelligence is driving Google’s scientific efforts. But Google’s increase in publishing is no accident.

According to deep-learning expert, Yoshua Benigo, Google has amplified its recruitment and more than tripled the number of machine learning researchers working for the company over the last few years.

Attracting top talent is about more than just salary. “It’s hard to hire people just for money,” says Konrad Kording, a computational neuroscientist at Northwestern University. “The top people care about advancing the world, and that means writing papers the world can use, and writing code the world can use.”

Google faces fierce competition from fellow tech giants such as Facebook and Microsoft as they seek to reap the profits AI will bring. Academic research is occurring at the same rate as the early days of computer chips which explain the importance of publication scorekeeping. With the impact of Google’s publications four to five times the world average and ranking number one over other AI publishers by a wide margin, it seems they’re winning the race.

You can read the full article at MIT Technology Review here.

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