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Peking University's Sun Zhong, together with IBM and a Silicon Valley team, publishes a review that defines modern analog computing

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Sun Zhong of Peking University, together with authors from IBM Zurich Research Laboratory and the Silicon Valley company Unconventional AI, published a review in a Nature-affiliated journal that defines matrix-computing-oriented analog computing based on resistive memory as "modern analog computing." The review categorizes this type of computing into three core primitives: solving differential equations, solving matrix equations, and matrix-vector multiplication, and states that an analog matrix computing circuit based on a negative-feedback closed loop takes less than 100 nanoseconds for a single solve. The authors also mention that Anna Zhixin plans to launch, within one year, a measured demonstration aimed at motion control and planning for embodied intelligence.

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  1. Peking University's Sun Zhong, with IBM and Silicon Valley team, publishes review defining modern analog computing

    Sun Zhong of Peking University, together with authors from IBM Zurich Research Laboratory and Silicon Valley company Unconventional AI, published a review in a Nature journal that defines matrix-computing-oriented analog computing based on resistive memory as modern analog computing. The paper categorizes it into three core primitives: solving differential equations, solving matrix equations, and matrix-vector multiplication, and states that an analog matrix computing circuit based on a negative-feedback closed loop takes less than 100 nanoseconds per solve. The authors mention that Anna Zhixin plans to launch a measured demonstration for embodied intelligence motion control and planning within a year.

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