Our students have created several videos with Amyric Films that show some of the exciting areas of research that they are involved in. We hope you’ll find them interesting!
Charlie Houseago teaches us about one of the most powerful tools available for computer vision: the convolutional filter.
Ali Hadian describes the challenges around how to work with big data so that it can be searched quickly.
Michael Akintunde describes the importance of verification of automated systems and how researchers are attempting to achieve this verification.
Luca Castiglione discusses attacks on cyber physical systems, i.e. systems that interact with their surrounding environment. For example, a train network. How can we detect and defend against these attacks?
Most people find it quite easy to figure out who is talking, and when, just through hearing. However, computers find this very difficult. Aiden Hogg takes us through how computers do this now, and how his research makes allows computers to do this more easily.
To perform visual tasks, like detecting objects in videos, computers can use “Convolutional Neural Networks”. However, these can require lots of memory and be slow to execute. Ruizhe Zhao takes us through his research, which aims to effectivly reduce the size of these networks to improve the performance of these networks.
To enable fast and energy efficient computing, modern large-scale computer systems contain specialist hardware that can accelerate parts of an application. However, programming these devices currently requires specialist skills that few programmers do have. Jessica Vandebon walks us through her research that aims to automatically apply optimisations for these heterogeneous systems to help programmers effectivly use these.
Kenny Malpartida Cárdenas talks about her research to develop tests for the detection antimicrobial resistance and infections diseases (including malaria and covid) that can be used without needing lab equipment.
Viet Pham Ngoc discusses his research of the use of Quantum Computers for machine learning.