MINDS Centre for Doctoral Training Summer Internships 2020

One of the aims of this internship scheme is to encourage and support students from a wider range of disciplines to consider PhD research in AI. We didn’t let the Covid-19 pandemic stop us in summer 2020, and three students studying Mathematics and Physics worked with us remotely.

One of our interns worked with Dr Bahar Rastegari and two PhD students on the “Distributed Inference” project. She investigated techniques for splitting trained deep learning models across multiple, coordinating hardware devices such that the overall system performs the function of the trained model. She used Alexnet to train an image classification model using the CIFAR-10, and decentralised this model across two Raspberry Pis and a PC to develop a proof of concept.

Another of the 2020 interns worked with Dr Christine Evers and two other PhD students on the “Audio at the Edge” project. He investigated novel neural networks for IoT devices that can detect periods of voice activity from streaming audio data. We couldn’t use the CDT lab over the summer, so he set up a virtual environment that simulated an Android mobile device that received emulated audio signals in real-time. He then demonstrated how voices can be distinguished using his DNN design.

We’re looking for interns for summer 2021 at the moment, so if you’re interested in joining the CDT send in an application