Peking University, in collaboration with IBM, defines a new paradigm for modern analog computing.

A review paper co-directed by Sun Zhong from Peking University and involving the IBM Research Lab in Zurich defines modern analog computing, distinguishing it from traditional analog computing, focusing on matrix computing required for AI and 6G communications, and achieving high precision and scalability based on resistive random-access memory. Annuan Zhixin's Analog Matrix Computing (AMC) circuit, through a resistive random-access memory array and a negative feedback closed loop, completes matrix inversion in less than 100 nanoseconds per operation, with accuracy reaching 10^-7, 100 times more energy-efficient than digital chips, and 10 times lower in cost. It is planned for use in embodied intelligence and 6G communications, and supports second-order optimization training for large models.