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

  • Lisa Amini IBM
  • Ching-Hua Chen IBM
  • David Cox IBM
  • Aude Oliva Massachusetts Institute of Technology
  • Antonio Torralba Massachusetts Institute of Technology

Abstract

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.

Published
2020-04-13
How to Cite
Amini, L., Chen, C.-H., Cox, D., Oliva, A., & Torralba, A. (2020). Experiences and Insights for Collaborative Industry-Academic Research in Artificial Intelligence. AI Magazine, 41(1), 70-81. https://doi.org/10.1609/aimag.v41i1.5201
Section
Special Topic Articles