To make real progress in Artificial Intelligence we need the best, brightest and most diverse minds to exchange ideas and build on each other’s work. Research in isolation, or in secret, falls behind the leading edge.
According to Nature Index Science Inc. 2017, publications resulting from collaborations not just among academics, which comes most naturally, but between academia and industry more than doubled from 12,672 in 2012 to 25,962 in 2016. The burgeoning dual-affiliation model—where academics actually work inside industry for a time, while maintaining their academic position—makes possible not only technological advances like better speech recognition, image recognition, text understanding and language translation systems, but also fundamental scientific advances in our understanding of intelligence.
Dual affiliation is a boon. It benefits not just the AI economy but individual academics—both researchers and students—as well as industry. We need to champion it.
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