Estimating Uncertainty in Neural Networks

Estimating Uncertainty in Neural Networks

  Physicists know that no measurement is meaningful without an estimate of its error. Keane studied how to estimate the uncertainty in neural network predictions. As part of his final year project at the School of Physical and Mathematical Sciences (SPMS), Keane...

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Rising sea levels: a nuanced approach

Writing in the scientific journal Earth’s Future, Dr. Benjamin Grandey, a Senior Research Fellow, and Professor Chew Lock Yue both at the School of Physical and Mathematical Sciences (SPMS) at NTU Singapore, together with collaborators present a novel approach that combines both ice-sheet modelling as well as expert assessment into a single projection.

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