GrapheneML
GrapheneML (noun): A novel approach to manufacturing graphene transistors that leverages the power of machine learning algorithms to identify and compensate for imperfections in the manufacturing process, resulting in more reliable and high-performance computing systems.
The cutting-edge computer chip design leveraged GrapheneML to optimize the manufacturing of graphene transistors, resulting in faster and more energy-efficient computing.