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Upcoming Events

Cantab Capital Institute for the Mathematics of Information – Connecting with Industry

Wednesday 22nd November 2017
Isaac Newton Institute

The Cantab Capital Institute for the Mathematics of Information (CCIMI) will hold an Industry engagement day in November 2017. This aims to showcase the research that is being carried out at the Institute and will present an opportunity to hear in detail about some of the current project collaborations, other industry challenges and explore new potential collaborations.
 

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Form & Deformation in Art, Toys and Games

Friday 1st December 2017
Isaac Newton Institute

New mathematical approaches, such as shape analysis and computational anatomy, can be applied to growth and form in a variety of complex living and inanimate systems. Mathematical tools have the capacity to revolutionise a whole range of inter-disciplinary problems, from image analysis to medical diagnosis, from study of paintings to mechanical toys and games.

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Mathematics of Imaging and Vision

Wednesday 6th December 2017
Centre for Mathematical Sciences

Imaging and vision is highly multidisciplinary – spanning mathematics, engineering, machine learning, computer vision and machine vision. There are numerous applications for this science in sectors such as medical imaging, security, geoscience, environment, food, manufacturing, agriculture, films, art and archeology.

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INI - SLB Satellite Workshop - Machine Learning for Acquisition Systems

Thursday 7th December 2017
Schlumberger Gould Research Centre

SLB invites participants of the Isaac Newton Institute programme on Variational methods and effective algorithms for imaging and vision  programme to attend a day of talks and discussions on topics relevant to large scale optimization and their industrial applications.

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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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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 will concentrate on how to handle uncertainty arising from the use of computer models. Three end-user sessions will include talks from the engineering, financial and healthcare sectors.

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Big Data and the Role of Statistical Scalability

Wednesday 28th February 2018
Isaac Newton Institute

This workshop is part of the six month programme at the Isaac Newton Institute (INI) on Statistical Scalability. The Programme aims 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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Past Events


Sea Ice - Structure Interaction

Monday 13th November 2017
British Antarctic Survey, Cambridge

BAS invited participants of the Isaac Newton Institute programme on Mathematics of Sea Ice Phenomena and industrial partners to attend a half day of talks and discussions on topics relevant to sea ice interaction with structures, such as ships and fixed platforms

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INI - SLB Satellite Workshop - Application of Optimal Transport

Friday 27th October 2017
Schlumberger Gould Research Centre

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

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Testimonials


Just wanted to say "thank you" again! We were impressed by how smoothly the event ran, and the strong network of interested people you can mobilise! Look forward to interacting again.

Sofia Olhede | University College London Coping with Big Data - an analytics and computational perspective, January 2015