This research activity focuses on the development of silicon-integrated coherent neurons with a high processing capacity of 32GMAC/se. The goal is to create a more efficient and compact computing system that can be used in various applications, including artificial intelligence and machine learning. The project aims to explore the potential of silicon-integrated coherent neurons in achieving high-speed and low-power processing, which can lead to significant advancements in the field of neuromorphic computing.