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Thursday 24th May 2018

Isaac Newton Institute

United Kingdom


The Cantab Capital Institute for the Mathematics of Information (CCIMI) was pleased to announce its second annual academic conference, which focused on the academic interactions taking place related to the mathematics of machine learning.

Launched in 2016, CCIMI accommodates research activity on fundamental mathematical problems and methodology for understanding, analysing, processing and simulating data. Data science research performed in the Institute is of the highest international level, aiming to extract the relevant information from large and high-dimensional data with a predictable certainty.

This event followed previous successful academic and industrial engagement events, which focused on different aspects related to the mathematics of information.

Aims and Objectives

This one day conference brought together those academics working to advance data science and provided an update on research and collaborations taking place at CCIMI, associated challenges and other potential collaborative opportunities, it also highlighted projects being developed elsewhere related to machine learning.

The programme of talks covered some of the following areas:

  • Complexity theory
  • Signal processing
  • Partial differential equations
  • Deep neural networks.

There was a session for short “elevator pitches” from next generation researchers, who also had the opportunity to present more detail about their work in a poster exhibition, which ran during the lunch and the drinks/networking session. 

This event was of interest to participants including social scientists; physicists; engineers; biomedical scientists as well as those working in statistics; pure, applied and computational analysis; quantum computing, cryptography, communication and security and those from data processing.

Registration and Venue

Attendance was free.

Talks were aimed at academics, and a mathematical background was assumed, however, attendees from industry and the public sector were welcome. 

The workshop took place at the Isaac Newton Institute for Mathematical Sciences in Cambridge. Please see the Isaac Newton Institute website for further information about the venue.


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