Profile

Woody Bayliss, is a student at QMUL focusing on interpretability in Artificial Intelligence. In conjunction with the BBC he is finding new novel ways of interpreting AI, additionally he is applying current methods to AI models the BBC require more knowledge of. His work also focuses on neural network pruning, and reducing the complexity of large neural networks.