The Computing Laboratory is aimed at advancing the boundaries between learning theory and machine learning, while building algorithmic tools for the analysis of complex systems and high-dimensional data. This approach blends established concepts and methods from computer science, statistics and signal processing with modern results in (high dimensionality), to new computational tools for statistical inference. The goal is to channel theory and algorithms into new applications including smarter technologies and advanced machines for inference from high-dimensional data/signals. The ultimate goal of the lab. This is the future generation of intelligent technology.
