In-Memory Deep Neural Network Device Using Spin Orbit Torque (SOT) With Multi-State Weight

    公开(公告)号:US20250077834A1

    公开(公告)日:2025-03-06

    申请号:US18954415

    申请日:2024-11-20

    Abstract: The present disclosure is generally related to a deep neural network (DNN) device comprising a plurality of spin-orbit torque (SOT) cells. The DNN device comprises an array comprising n rows and m columns of nodes, each row of nodes coupled to one of n first conductive lines, each column of nodes coupled to one of m second conductive lines, each node of the n rows and m columns of nodes comprising a plurality of SOT cells, each SOT cell comprising: at least one SOT layer, at least one ferromagnetic (FM) layer, and a controller configured to store at least one corresponding weight of an n×m array of weights of a neural network in each of the SOT cell. The FM layer may comprise two or more domains, two or more elliptical arms, or two or more states.

Patent Agency Ranking