Researchers have developed a new technique using 2D magnets that could revolutionize computing by enabling the extreme miniaturization of components. This technique harnesses spintronics to create more compact and energy-efficient devices, potentially leading to significant advancements in processing power and AI capabilities.
Researchers at the University of Minnesota Twin Cities have developed a new computer memory design called CRAM, which could drastically reduce the energy consumption of AI systems. This innovative design integrates a reconfigurable spintronic compute substrate directly into the memory cell, eliminating the need for data transfer between memory and processors. Tests have shown that CRAM can reduce energy consumption by up to 1,000 times compared to traditional systems.
