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Doctoral College

AI UK 2020 Digital poster exhibition 2 June 2020

See what the future holds for data science and artificial intelligence in an interactive virtual poster exhibition hosted by students from UK universities displaying and presenting their current research. 

The exhibition will be live for 1.5 hours and you will be able to visit each students’ display and engage in conversation and ask questions.

Find out more (links will be added to the webpage during the event): https://www.turing.ac.uk/events/ai-uk-2020-digital-poster-exhibition

Some of the confirmed students so far are: 

Name

Poster

Amy Parkes

Increasing the efficiency of shipping through Machine Learning using data gathered in operation.

Audrey Berquand

A Design Engineering Assistant for the Early Stages of Space Mission Design

Caterina Buizza

Using Data Learning for Human Motion Tracking

Cristian Bodnar

Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping

Joseph Early

Regulation of AI and Corresponding Explainability Practices

Leonardo Mariano Castro Gonzalez

Understanding, Predicting and Preventing Drug-related Problems in the UK: A Data-centric Approach

Maolin Li

Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks

Nicole Nisbett

Harnessing Citizen Input: a new tool for parliaments

Omar Rivasplata

PAC-Bayes Analysis Beyond the Usual Bounds

Seng Ah (Michelle) Lee

Spelling errors and non-standard language in peer-to-peer loan applications and the borrower’s probability of default

Stephanie Ford

Cognitive radar mode selection

Sumayya Jad

Data-Driven Local Councils and Public Service Provision in the UK

Ramit Debnath

Deep-narrative analysis for policy

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Published:
Advert for AI UK 2020 Digital poster exhibition 2 June 2020

 

 

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