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Machine Intelligence Academy

Championing ground-breaking AI research and innovation in higher education.

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Empowering Machine Learning Research

Graphcore builds tools and technology to enable innovations in Artificial Intelligence. Our academic programme is designed to support Professors, Researchers, Principal Investigators, Postdocs, PhD and Masters students conducting and publishing research using IPUs or in their coursework or teaching.

Research Priorities

Research Priorities

We are actively looking for projects and proposals that fall in one of these ML areas, but are open to hearing ideas for new and novel ways to use IPUs.

  • Graph Neural Networks
  • Methods for Efficient Stochastic Learning
  • Distributed Learning in Large-Scale Machines
  • New IPU Efficient Architectures for Multi-Modal Learning
  • Conditional Sparse Training

Teaching Opportunities

We are looking to hear from Professors who are interested in developing and teaching coursework around Poplar software and IPU hardware.

Benefits

Universities selected to participate in the programme will benefit from the following

Asset 5

Opportunity to test and use IPU hardware in the cloud at no-cost

Asset 3

Support letters for grant and funding proposals

Asset 8

Access to latest Graphcore Software tools including Poplar® and PopART®

Asset 1

Support and regular check-ins from Graphcore's in-house researchers and engineers

University Partnerships

  • UC Berkeley
  • ICL
  • Universite de Paris
  • UoB
  • UMass
  • Oxford