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When the AI Professor Leaves, Students Suffer, Study Says


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A study by researchers from the University of Rochester found an exodus of artificial intelligence (AI) professors from North American universities to the private sector has reduced the prospect that graduate students will found new AI companies. Those graduates who did start a company usually attracted less venture capital, with the field of deep learning especially affected, according to "Artificial Intelligence, Human Capital, and Innovation," by Michael Gofman and Zhao Jin.

This academic attrition could hinder innovation and economic expansion over time, the researchers suggest.

The technology industry mostly ignored deep learning's potential until 2010, but interest grew as the Internet produced more data and new computer chips reduced the analytical burden. Large tech companies have hired many academic specialists, including two recent recipients of the ACM A.M. Turing Award honored for their work on neural networks.

"If industry keeps hiring the cutting-edge scholars, who will train the next generation of innovators in artificial intelligence?," says Ariel Procaccia of Carnegie Mellon University.

From The New York Times
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Abstracts Copyright © 2019 SmithBucklin, Washington, DC, USA


 

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