A new collection of his writings, out in August, reveals the thinking behind his boundary-breaking curatorial work.

With the development of the Internet of Things (IoT), in-sensor computing techniques, such as the frame differencing and edge detection, is an effective solution for reducing large-scale sensing data ...

Modern deep neural network models (DNNs) require extensive data for optimal performance, prompting reliance on multiple entities for the acquisition of training datasets. One prominent security threat ...

GARCH models have been applied in modelling the relation between conditional variance and asset risk premia. These models, however, have at least three major drawbacks in asset pricing applications: ...