The Princeton Laboratory for Artificial Intelligence (the “AI Lab” for short) supports and expands the scope of AI research at Princeton, adopting a new organizational model designed to accommodate the challenges of working in this fast-moving field. The AI Lab is focused on incubating ambitious AI-related research initiatives involving faculty members across the natural sciences, engineering, social sciences and humanities and providing a shared infrastructure for supporting AI research more broadly. The shared infrastructure includes: 

  • Staff to support administration (events, grants, outreach, communications, industry engagement), research (AI Postdoctoral Fellows), and technology (research software engineers and data scientists).
  • Computational resources designed to address the specific needs of large-scale AI projects, including a cluster with 300 H100 GPUs. 
  • Funding to support faculty starting new AI-related research, targeting  interdisciplinary efforts exploring the impact of AI on different fields.
  • Events, including workshops and a distinguished lecture series.
  • Informal and formal gatherings to discuss research ideas at various stages of the pipeline and help develop them into larger projects.

These efforts are guided by an executive committee with representatives from existing interdisciplinary centers and programs that make contact with AI and the leaders of current AI Lab research projects. 

As AI research has been making rapid progress both in industry and academia, the goal of the AI Lab is to be able to make nimble investments in areas where that progress makes it possible to have a disproportionate impact. Rather than competing with industry, the focus is on using AI in areas that draw on Princeton’s strength in a wide range of academic disciplines. By expanding our capacity to deploy state-of-the-art AI technologies and taking new approaches to challenging problems we can support interdisciplinary research that leads to exciting new insights across the entire campus.

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