Experiences and Insights for Collaborative Industry–Academic Research in Artificial Intelligence

The factors that define and influence the success of industry‐academic research in artificial intelligence have evolved significantly in the last decade. In this article, we consider what success means from both sides of a collaboration and offer our perspectives on how to approach the opportunities...

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Veröffentlicht in:The AI magazine 2020-03, Vol.41 (1), p.70-81
Hauptverfasser: Amini, Lisa, Chen, Ching‐Hua, Cox, David, Oliva, Aude, Torralba, Antonio
Format: Artikel
Sprache:eng
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Zusammenfassung:The factors that define and influence the success of industry‐academic research in artificial intelligence have evolved significantly in the last decade. In this article, we consider what success means from both sides of a collaboration and offer our perspectives on how to approach the opportunities and challenges that come with achieving success. These perspectives are grounded on the recent and significant investments that have been made between IBM and several higher education institutions around the world, including IBM's Artificial Intelligence Horizons Network, the Massachusetts Institute of Technology‐IBM Watson Artificial Intelligence Lab, and the Massachusetts Institute of Technology Quest for Intelligence.
ISSN:0738-4602
2371-9621
DOI:10.1609/aimag.v41i1.5201