The photo of lecturer Ce Guo

Ce Guo

Deep learning on FPGAs: trends and examples
Ce Guo is a research associate in custom computing and mass spectrometry in the Department of Computing and the Department of Physics at Imperial College London. His research focuses on efficient computing systems for large-scale temporal data analytics, agent-based modelling, causal structural learning, and mass spectrometry data mining. He holds a master’s degree in Artificial Intelligence and a PhD in Custom Computing from Imperial College London.
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