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To date, in\u2010memory analog arithmetic operations with emerging nonvolatile devices are usually implemented using discrete components, which limits the scalability and blocks large scale integration. Here, a prototypical implementation of in\u2010memory analog arithmetic operations (summation, subtraction and multiplication) is experimentally demonstrated, based on in\u2010memory electrical current sensing units using spin\u2010orbit torque (SOT) devices. The proposed structures for analog arithmetic operations\u00a0are smaller than the state\u2010of\u2010the\u2010art complementary metal oxide semiconductor (CMOS) counterparts by several orders of magnitude. Moreover, data to be processed and computing results can be locally stored, or the analog computing can be done in the nonvolatile SOT devices, which are exploited to experimentally implement the image edge detection and signal amplitude modulation with a simple structure. 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