This article investigates likelihood inferences for high-dimensional factor analysis of time series data. We develop a matrix decomposition technique to obtain expressions of the likelihood functions ...

Dimensional Analysis (DA) is a widely used methodology in physics and engineering. The main idea of DA is to extract dimensionless variables based on physical dimensions. Due to its capability in ...

We had an interesting term recently in our AI ventures class that caught my attention – dimensional AI. What is dimensional AI? It turns out that my friend Ramesh Raskar, who runs a group at the MIT ...

Seeking to reduce the computing power needed for the widely used dynamic mode decomposition algorithm, a team of researchers in China led by Guo-Ping Guo developed a quantum-classical hybrid algorithm ...