Jia Qing is the Executive Lead of OpenSourceSDC where they are democratising access to contributing and testing autonomous driving code, through opening up testing vehicles for anyone to test their code on. He looks at novel ways of using deep learning for the autonomous driving problem, be it Generative Adversarial Networks to generate life-like synthetic data for training models, or using Long-short Term Memory Neural Networks to capture the temporal nature of steering data. He believes in going deep into the mathematics of machine learning, and is a teaching assistant for the General Assembly data science course.
Talk Data to Me
This monthly speaker series brings together industry experts to discuss how data is changing the way businesses run and people live.