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The Turing Gateway to Mathematics delivers activity across a broad range of sectors and engages in partnership with the users of mathematics - academics from other disciplines, those from industry and the public sector. 
TGM activities are bespoke and may emanate from the need to address a specific technical issue or look for a better solution. Alternatively, they could be in response to the need to obtain ideas for next generation solutions from mathematicians involved in frontier research.

Activities take a number of forms:

  • Events - workshops and consultations
  • Training programmes
  • Short to medium-term research programmes
  • Projects

The TGM also delivers Open for Business events on behalf of the Isaac Newton Institute. 


Upcoming Events

Developments in Healthcare Imaging - Connecting with Academia

Wednesday 2nd May 2018
Isaac Newton Institute

This one day conference will bring together those academics working on advances in imaging technology with researchers who investigate new image analysis methods, to help address current challenges. New imaging technology goes side by side with the need for mathematical models to maximise the information gain from these novel imaging techniques.

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The Mathematics of Machine Learning - A Research Conference of the Cantab Capital Institute for the Mathematics of Information

Thursday 24th May 2018
Isaac Newton Institute


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

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3rd Edwards Symposium - New Horizons in Soft Matter

Wednesday 5th September 2018 to Friday 7th September 2018
Centre for Mathematical Sciences

This Series is both a tribute to the life and work of Professor Sir Sam Edwards FRS, one of the great scientific minds of the 20th Century, and a recognition of the fast evolving and diverse nature of soft matter science. Sir Sam’s played a pivotal role in bringing advances in the physical sciences to bear on major industrial problems. His fundamental contributions to the field of soft matter ranged from polymer melts, through gels, colloids, granular materials and glasses to optimisation problems.

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Past Events

E.g., 2018-03-22
E.g., 2018-03-22

Algorithms and Software for Quantum Computers

Wednesday 14th March 2018 to Thursday 15th March 2018
Isaac Newton Institute

This workshop aimed to initiate development of quantum computer algorithms and software by bringing together real-world problem owners (for example in drug discovery,telecoms, manufacturing and others), with mathematicians, algorithm experts, and academic quantum computer hardware experts to explain what code developers need to know to create software, without getting bogged down in the underlying physics.

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Big Data and the Role of Statistical Scalability

Wednesday 28th February 2018
Isaac Newton Institute

This workshop was part of the six month programme at the Isaac Newton Institute (INI) on Statistical Scalability. The Programme aimed to help address some of these issues by simultaneous consideration of the methodological, theoretical and computational challenges involved and the development of robust, scalable methods, crucial to unlocking the potential of Big Data.

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Taming Uncertainty in Mathematical Models Used in the Private and Public Sectors

Thursday 1st February 2018
Isaac Newton Institute

The workshop is part of the six month Programme at the INI Uncertainty Quantification for Complex Systems: Theory and Methodologies and concentrated on how to handle uncertainty arising from the use of computer models. Three end-user sessions included talks from the engineering, financial and healthcare sectors.

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Management of Energy Networks

Tuesday 16th January 2018 to Wednesday 17th January 2018
International Centre for Mathematical Sciences

Future energy networks will be characterised by much greater variability and uncertainty: inputs to electricity networks from renewable and solar generation are naturally highly intermittent, while new patterns of demand, e.g. that required for the recharging of electric vehicles, are likely to be variable and are currently not well understood.  Against this, there are significant new technologies available for the management of future systems.

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INI - SLB Satellite Workshop - Machine Learning for Acquisition Systems

Thursday 7th December 2017
Schlumberger Gould Research Centre

Participants of the Isaac Newton Institute programme on Variational methods and effective algorithms for imaging and vision  programme  were invited to attend a day of talks and discussions on topics relevant to large scale optimisation and their industrial applications.

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