Zhuowei Wang

We dive into the exciting intersection of astronomy, machine learning, and human-AI collaboration, with a specific focus on ASKAP. We’ll see how ASKAP, a remarkable feat of technology with its array of 36 dish antennas, is not just about mapping galaxies but also about managing its complex system. The challenge lies in dealing with the vast amounts of hardware data it generates, where anomalies often indicate potential system failures. This is where machine learning steps in to identify these anomalies in the hardware data, but it’s the nuanced human expertise that is key to interpreting these signals and ensuring the smooth operation of ASKAP. Together, human insights and AI capabilities form a crucial partnership in maintaining and leveraging this advanced astronomical tool.