Introduction
As a truly national institute, we provide a platform for excellent research that is underway across the whole of the UK. As such, we are delighted to announce to host a unique opportunity for researcher development and training, with UK students displaying and presenting their current research in artificial intelligence.
About the event
Join the interactive audience at this virtual exhibition to hear from the UK's next generation of data science talent on their research techniques and applications, and see what the future holds for artificial intelligence.
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.
You must register to receive the links to join the exhibition.
Name |
University |
Poster |
Amy Parkes |
University of Southampton |
Increasing the efficiency of shipping through Machine Learning using data gathered in operation. |
Audrey Berquand |
University of Strathclyde |
A Design Engineering Assistant for the Early Stages of Space Mission Design |
Caterina Buizza |
Imperial College London |
Using Data Learning for Human Motion Tracking |
Cristian Bodnar |
University of Cambridge |
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping |
Joseph Early & Keri Grieman |
University of Southampton/ QMUL |
Regulation of AI and Corresponding Explainability Practices |
Leonardo Mariano Castro Gonzalez |
University of Birmingham |
Understanding, Predicting and Preventing Drug-related Problems in the UK: A Data-centric Approach |
Maolin Li |
University of Manchester |
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks |
Nicole Nisbett |
University of Leeds |
Harnessing Citizen Input: a new tool for parliaments |
Omar Rivasplata |
UCL |
PAC-Bayes Analysis Beyond the Usual Bounds |
Seng Ah (Michelle) Lee |
University of Cambridge |
Spelling errors and non-standard language in peer-to-peer loan applications and the borrower’s probability of default |
Stephanie Ford |
UCL |
Cognitive radar mode selection |
Sumayya Jad |
University of Reading |
A Data-Driven Decision-Making Maturity Model for the UK Local Government |
Ramit Debnath |
University of Cambridge |
Deep-narrative analysis for policy support |