Simon Foo

The latest research in high efficiency multifunction and polymer solar cells.

This talk discusses challenging engineering problems and some possible solutions using machine intelligence. For example, with the recent advances in machine learning such as deep learning, it is now possible for autonomous vehicles or self-driving cars to have real-time detection and recognition of pedestrians, animals, obstructions as well as other vehicles. The same technology could be used in other engineering applications requiring object detection and pattern recognition. Together with sensors such as LIDAR, machine learning can be applied to solve "hard" engineering problems such as self-driving vehicles.

Explains the "nuts and bolts" of data analytics in terms of statistics, probability and linear algebra. Covering topics such as Gaussian processes, Gaussian mixture models, expectation maximization, k-means clustering, supervised and unsupervised learning, parametric and non-parameteric models, deep learning, etc. With real world examples and data sets.