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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.

Every day, millions of lines of code are written without a single human typing them. AI coding assistants have become the fastest-growing contributors to software projects worldwide – generating, completing, and committing code at a pace no human team can match.

NUS School of Computing is pleased to share that NUS Presidential Young Professor Zhang Jiaheng, has been awarded the Robert Brown Promising Researcher Award under the Ministry of Education Singapore (MOE) Academic Research Fund (AcRF) Tier 2 Grant. 

NUS Computing Professor Atreyi Kankanhalli is among the top 10 female authors in Information Systems research across both 2001-2010 and 2011-2020. 

Led by Professor Zhang Yang from NUS Computing, NUS Biochemistry, and the Cancer Science Institute of Singapore, a research team has developed a hybrid framework that combines deep learning with physics-based modelling to improve the predictions of complex protein structures.