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We have been made aware of a convincing email scam that is focusing on our events at the Newton Gateway and at Isaac Newton Institute Programme and Workshop participants. Participants may receive an email from a firm called Expo Hotel Services (ehotelservices.org)  or Traveller Point (travellerpoint.org) to arrange accommodation for workshops and/or programmes. This might include a request to provide them with credit card information.

Please note, INI or the Newton Gateway to Mathematics will never ask for your card details. We take all payments via the University of Cambridge Online store https://onlinesales.admin.cam.ac.uk/.

If you have been contacted by this company please contact us as soon as possible.

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Newton Gateway Events

The Newton 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. 
Activities are bespoke and may originate 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 Newton Gateway delivers Open for Business knowledge exchange events on behalf of the Isaac Newton Institute. These are specifically designed to bring together industrial, commercial and government organisations with mathematical scientists and can be run as part of an ongoing research programme, or as an independent event.

 

Past Events

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

Wednesday 14th November 2018
Isaac Newton Institute

The main focus of this one day conference event will be as an industrial engagement day that will provide an update on research and collaborations taking place at the CCIMI, as well as presenting research being developed elsewhere.

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Artificial Intelligence and Machine Learning in Clinical Imaging Research: Progress and Promise

Tuesday 6th November 2018
The Alan Turing Institute

This one day event aimed to review scientific and policy developments in the field of artificial intelligence (AI) and machine learning (ML) when applied to clinical imaging. It identified key steps that will expedite the delivery of research in the field, in partnership with academia, industry, patients and clinical researchers.
 

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Novel Computational Paradigms

Tuesday 30th October 2018 to Wednesday 31st October 2018
Isaac Newton Institute

This workshop was a collaboration with GCHQ and aimed to investigate potential next-generation advances in novel computational paradigms. A key aim was to bring together relevant stakeholders from across various UK research communities and industry. It was hoped that this activity will help to build closer links and collaborations and aid the establishment of a joined up multi-disciplinary UK community for this area. Disciplines identified so far as being relevant include synthetic biology, neuroscience, metamaterials, electronics/electrical engineering, AI/Machine learning, computer science and robotics and physics.

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Developments in Healthcare Imaging - Connecting with Industry

Wednesday 17th October 2018
Isaac Newton Institute

This user engagement day provided an update on some of the research projects and collaborations taking place in the CMIH. It featured presentations from CMIH researchers and Industry Partners and a number of industry challenges and potential new collaborations were highlighted in an elevator pitch session.

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Evidence Based Decisions for UK Landscapes

Monday 17th September 2018 to Tuesday 18th September 2018
Isaac Newton Institute

The mathematical sciences are of fundamental importance to solving many ongoing problems across numerous scientific, societal and economic areas and never more so than today, where ‘big data’ continues to increase exponentially and uncertainty and risk predominate. 
 

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