Physical reservoir computing for classification of temporal data
My undergraduate thesis project on physical reservoir computing models. In the paper I introduce the reservoir computing framework, necessary grounding in ML, the characteristics of good physical reservoirs, and a few case studies: mechanical, electronic, and quantum. While this is still a relatively new field, the potential for chaotic systems prediction, smart mechanical sensors and more is potentially revolutionary across a wide range of sciences and industries. I also gave a talk that mimics the structure of the paper.