Fast Radio Burst Pulse Detection with Gerry Zhang - TWIML Talk #278
Today we’re joined by Yunfan Gerry Zhang, a PhD student at UC Berkely, and an affiliate of Berkeley’s SETI research center. In our conversation, we discuss:
• Gerry's research on applying machine learning techniques to astrophysics and astronomy.
• His paper “Fast Radio Burst 121102 Pulse Detection and Periodicity: A Machine Learning Approach”.
• We explore the types of data sources used for this project, challenges Gerry encountered along the way, the role of GANs and much more.
• Gerry's research on applying machine learning techniques to astrophysics and astronomy.
• His paper “Fast Radio Burst 121102 Pulse Detection and Periodicity: A Machine Learning Approach”.
• We explore the types of data sources used for this project, challenges Gerry encountered along the way, the role of GANs and much more.
Activity