Realizing Artificial Intelligence (AI) requires modern hardware that is capable of processing complex analog data with an efficiency comparable to the human brain. However, existing semiconductor devices struggle to process large volumes of data due to fundamental limitations like high-power consumption, limited functionality, and low number of memory states. This project seeks to develop a new type of neuromorphic device called moiré synaptic transistors to address these limitations. By putting multiple atomically-thin layers of two-dimensional materials together with specific alignments, these devices are able to achieve lower power consumption, higher memory state density, more tunability and more biomimicking functionalities. These devices can be used to meet the precision and energy demands of modern computing in AI and enable applications like AI-powered robots, autonomous drones, and personalized wearable electronics. The educational outreach goal of this project will aim to increase awareness of some of the most exciting concepts and challenges at the intersection of semiconductor manufacturing and neuromorphic computing applications among all levels of learners (i.e., pre-school, K-12, undergraduate, graduate, and working adults), with a special focus on providing research opportunities to K-12 and undergraduate students. The research program will be tightly integrated with training future technical leaders to have the capabilities to tackle interdisciplinary problem