The study, the first of its kind, was conducted by researchers at the University of Rochester. They found that over the last 15 years, 153 artificial intelligence professors in North American universities left their posts for industry. Another 68 moved into industry while retaining part-time roles with their universities.
SAN FRANCISCO: For years, big tech companies have used huge salaries, bonuses and stock packages to lure artificial intelligence experts out of academia. Now, a study released on Friday says that migration has hurt the post-college prospects of students.
The study, the first of its kind, was conducted by researchers at the University of Rochester. They found that over the last 15 years, 153 artificial intelligence professors in North American universities left their posts for industry. Another 68 moved into industry while retaining part-time roles with their universities.
From 2004 to 2009, 26 university professors moved into industry. In 2018 alone, 41 professors made the move. The exponential rise in departures over the last decade and a half indicates that the trend will continue. The talent shift could accelerate the development of artificial intelligence inside tech giants like Google, Microsoft, Amazon and Apple.
But at the universities the professors left behind, graduating students were less likely to create new AI companies. When they did, they attracted smaller amounts of funding, according to the study. The effect was most pronounced in the field of “deep learning,” a technology that has become a crucial part of new AI systems.
In time, the brain drain from academia could hamper innovation and growth across the economy, the study argued. “The knowledge transfer is lost, and because of that, so is innovation,” said Michael Gofman, a professor of finance at the University of Rochester and one of the authors of the study.
Deep learning is driven by “neural networks,” complex mathematical systems that can learn tasks on their own by analysing vast amounts of data. By pinpointing patterns in thousands of dog photos, for instance, a neural network can lear n to recognise a dog.
Big tech companies have hired many of the academics who specialized in the technique. Three longtime academics recently won the Turing Award — often called the Nobel Prize of computing — for their work on neural networks. Two have moved into industry, one to Google and the other to Facebook.
Tech and automobile industry’s interest in artificial intelligence of all kinds has increased, according to the study. Google and DeepMind, both owned by Alphabet, have hired 23 professors. Amazon has hired 17 professors. Microsoft has hired 13 professors. And Uber, Nvidia and Facebook have each hired seven.
Tech companies disagree with the notion that they are plundering academia. A Google spokesman, for example, said the company is an enthusiastic supporter of academic research.
The study found that students most affected by the departures were those who graduated four to six years later, meaning they probably had little interaction of the departing professors. At any given university, a significant increase in the number of departing professors reduced the number of AI entrepreneurs by 13%.
Experts are split on whether a decline in the startup economy will harm the progress of AI. But many agree that university funding should be increased to ensure that the next generation is properly educated.
SAN FRANCISCO: For years, big tech companies have used huge salaries, bonuses and stock packages to lure artificial intelligence experts out of academia. Now, a study released on Friday says that migration has hurt the post-college prospects of students.
The study, the first of its kind, was conducted by researchers at the University of Rochester. They found that over the last 15 years, 153 artificial intelligence professors in North American universities left their posts for industry. Another 68 moved into industry while retaining part-time roles with their universities.
From 2004 to 2009, 26 university professors moved into industry. In 2018 alone, 41 professors made the move. The exponential rise in departures over the last decade and a half indicates that the trend will continue. The talent shift could accelerate the development of artificial intelligence inside tech giants like Google, Microsoft, Amazon and Apple.
But at the universities the professors left behind, graduating students were less likely to create new AI companies. When they did, they attracted smaller amounts of funding, according to the study. The effect was most pronounced in the field of “deep learning,” a technology that has become a crucial part of new AI systems.
In time, the brain drain from academia could hamper innovation and growth across the economy, the study argued. “The knowledge transfer is lost, and because of that, so is innovation,” said Michael Gofman, a professor of finance at the University of Rochester and one of the authors of the study.
Deep learning is driven by “neural networks,” complex mathematical systems that can learn tasks on their own by analysing vast amounts of data. By pinpointing patterns in thousands of dog photos, for instance, a neural network can lear n to recognise a dog.
Big tech companies have hired many of the academics who specialized in the technique. Three longtime academics recently won the Turing Award — often called the Nobel Prize of computing — for their work on neural networks. Two have moved into industry, one to Google and the other to Facebook.
Tech and automobile industry’s interest in artificial intelligence of all kinds has increased, according to the study. Google and DeepMind, both owned by Alphabet, have hired 23 professors. Amazon has hired 17 professors. Microsoft has hired 13 professors. And Uber, Nvidia and Facebook have each hired seven.
Tech companies disagree with the notion that they are plundering academia. A Google spokesman, for example, said the company is an enthusiastic supporter of academic research.
The study found that students most affected by the departures were those who graduated four to six years later, meaning they probably had little interaction of the departing professors. At any given university, a significant increase in the number of departing professors reduced the number of AI entrepreneurs by 13%.
Experts are split on whether a decline in the startup economy will harm the progress of AI. But many agree that university funding should be increased to ensure that the next generation is properly educated.
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