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letter Spring 2018 Newsletter
Welcome!

In this edition we follow the themes of machine learning, manufacturing and multiscale materials modelling! We discuss the need to reimagine how real-time machine-based and sensor-derived data should be gathered, stored, accessed and analyzed, and Shine the Spotlight on Dr. James Kermode, University of Warwick, who focuses on multiscale materials modelling. Rising Star Jonathan Sadeghi, talks about his research in Next Generation Nuclear, and we meet UCL deep tech spinout UQuant, and its AI platform that automatically validates and verifies engineering designs without having to build physical prototypes. Finally, we take a look at the integration of predictive machine learning within a composites manufacturing process - if you want to know more, come along to the event: Lean Composites Manufacturing through Machine Learning on 05th July 2018.

Shining the Spotlight on..
Dr. James Kermode, Associate Professor at Warwick Centre for Predictive Modelling, University of Warwick, who focuses on multiscale materials modelling algorithms & error and uncertainty in calculations.
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Distributing Big Data Analytics & Machine Learning at the Edge
We discuss the proliferation of real-time machine based & sensor-derived data, & the need to reimagine how data should be gathered, stored, accessed & analysed on a global scale. 
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Developing a digital demonstration of Machine Learning in Composites Manufacturing
We take a look at the integration of predictive machine learning to drive improvements & minimise variability within a composites manufacturing process.
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The Innovation Space
Meet deep tech University College London spin out 'UQuant', and its AI platform that can automatically validate & verify engineering design without having to build physical prototypes.
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Rising Star
Jonathan Sadeghi, who is studying for a PhD in Engineering at the Institute for Risk and Uncertainty, University of Liverpool, focused on conducting research in Next Generation Nuclear. 
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General Data Protection Regulation 2018
Act now to continue to receive communications from CFMS
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Lean Composites Manufacturing through ML
Register for the event - CFMS & NCC, 05 July 2018
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Enhanced Fidelity Transonic Wing (EFT)
Digital innovation achieved in the Airbus led project
Watch Now 
Data Storytelling Challenge Competition Results
Winner announced for the graduate data vis competition 
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