Ashley earned her Ph.D. in Mathematics from Rensselaer Polytechnic Institute in Troy, NY. She has applied her mathematical expertise to developing advanced algorithms in several settings, including medical imaging and mobile biosensors. She is currently a Senior Artificial Intelligence Engineer at PTC’s ThingWorx Analytics in Wayne, PA, where she researches and develops machine learning algorithms in the context of the Industrial Internet of Things.
Wednesday, May 2410:15 am – 11:00 am
A Smarter Car Through Machine Learning
Machine learning enables us to extract and utilize information that lies within the data generated by millions of connected devices each day. It has the potential to make everyday devices smarter, and our cars are no exception. But what does it take to transform an ordinary car into a smart car? In this session, we will discuss some of the challenges involved in developing a connected car. We will give an overview of general machine learning concepts and the specific techniques used in our prototype, including feature engineering, feature selection, time series prediction, and categorical prediction. Finally, we will demonstrate the Smart Car’s ability to identify drivers based on their driving patterns.