Latest Events

An overview of all the latest events.

Showing events 1 to 6 of 15

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UK-Japan Robotics and AI Research Collaboration Workshops

17-19 September 2019

As part of a wider UK government announcement relating to new scientific collaborations between UK and Japan in the fields of robotics, AI and the ethical use of data, the Turing's AI programme is hosting two workshops to initiate and develop such collaborations, in Edinburgh and London...

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Clean Air for Greater Manchester

18 September 2019

The launch of two major investments in air quality research at The University of Manchester. The event will launch The University of Manchester’s Air Quality Supersite and the Manchester Urban Observatory. Worth £2 million, these major capital investments combine expertise from the Manchester...

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C67959F7-15D6-4129-BE73-3D0722E625CD-1238-0000039560A23189

Data trusts workshop

23 September 2019

This workshop brings together experts in data science, public policy and property / Trust law to discuss the unique challenges inherent in designing bottom-up empowerment structures to complement existing, top-down data governance tools. While top down regulatory interventions are essential to...

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Seminar: A global-local approach for detecting eQTL hotspots in ultra-high multiple response regressions

1 October 2019

We consider how to specify prior distributions for top-level scale parameters in a sparse hierarchical regression model with many predictors and many responses. Our model borrows information across responses through a parameter that captures the “propensity” of a predictor to be a hotspot...

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Constructing a Digital Environment workshops

4-16 October 2019

Cost: Free (attendees are responsible for funding their own travel) Deadline: 16:00 on 6 September 2019 We are inviting individuals to submit expressions of interests (EoIs) to attend workshops for the NERC-led four-year £10·4 million Constructing a Digital Environment programme in either Cardiff (4…

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data

Seminar: Deep and Multi-fidelity learning with Gaussian processes

15 October 2019

I am a Machine Learning scientist at Amazon Research, Cambridge. My research focuses on Bayesian probabilistic modeling as well as on methods for improving deep learning through knowledge transfer and uncertainty quantification. I'm particularly interested in applying my research in decision making…

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