Filtered by: Google

Training a large language model is not just about writing good code and pressing run. These models are spread across hundreds or thousands of processors – such as Google's Tensor Processing Units (TPUs), specialised accelerators designed to train and serve large-scale machine learning models – that must learn to work in lockstep: exchanging data, splitting tasks, staying synchronised. When something goes wrong, the whole system slows down, and expensive hardware sits idle. 

NUS Presidential Young Professor Yang You from NUS Computing's Department of Computer Science has been selected for the Google 2026 Awards for Machine Learning Research and Education with TPUs.