Today's computers typically use static random-access memory (SRAM) which is fast and compact but power-hungry. Computers running AI and machine learning applications require small, fast, energy-efficient memory chips. Stanford researchers have developed an alternate technology called SOT-MRAM, short for spin-orbit torque magnetoresistive random-access memory.