MINDS Centre for Doctoral Training Summer Internships 2020
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 couldnt 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.
Were looking for interns for summer 2021 at the moment, so if youre interested in joining the CDT send in an application