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New Machine Learning Clinic to help Cambridge University researchers use AI in their research

Accelerate's Machine Learning Clinic helps Cambridge University researchers resolve engineering issues they might encounter when implementing machine learning methods. Simply log your issue via the Clinic’s form and one of the Clinic’s engineers will follow-up with you. The clinic is designed to help with challenging software issues a scientist encounters in all phases of the research pipeline when utilising machine learning. This includes issues related to: data collection, implementing privacy and compliance controls, data pipelines, model implementation, hardware/GPU matters, deploying models on the cloud, and packaging & publishing models. We define a challenging software issue as one that is difficult to find online guidance/tutorials on, or basically one that you have attempted to resolve via multiple approaches but had no success in doing so. Find out more about the clinic on our website.

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
  • Drives new research challenges through collaborative research projects 
  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Serves as a gateway for external organisations 

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