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The De-democratization of AI: Deep Learning and the Compute Divide in Artificial Intelligence Research
16 references·11 citing·56 second hop
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References

  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 2014Comparative Politics and the Synthetic Control Method2,415 cited
  • 2005Industry funding and university professors’ research performance747 cited
  • 2012Cui Bono? The Selective Revealing of Knowledge and Its Implications for Innovative Activity450 cited
  • 2021The demand for AI skills in the labor market429 cited
  • 2008Academic freedom, private‐sector focus, and the process of innovation427 cited
  • 2010The Oncomouse That Roared: Hybrid Exchange Strategies as a Source of Distinction at the Boundary of Overlapping Institutions401 cited
  • 2017The decline of science in corporate R&D331 cited
  • 2018State of the Art: Reproducibility in Artificial Intelligence292 cited
  • 2008Restructuring Research: Communication Costs and the Democratization of University Innovation270 cited
  • 2018Making gender diversity work for scientific discovery and innovation260 cited
  • 2010The Impact of Information Technology on Academic Scientists' Productivity and Collaboration Patterns208 cited
  • 2016Of Mice and Academics: Examining the Effect of Openness on Innovation190 cited
  • 2016How Cinderella Became a Queen172 cited
  • 2018

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When Collaboration Bridges Institutions: The Impact of University–Industry Collaboration on Academic Productivity
163 cited
  • 2004Is the commercialisation of scientific research affecting the production of public knowledge?161 cited
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