Engineers develop magnetic tunnel junction–based device to make AI more energy efficient
Engineering researchers at the University of Minnesota Twin Cities have demonstrated a state-of-the-art hardware device that could reduce energy consumption for artificial intelligent (AI) computing applications by a factor of at least 1,000.
A Tokyo University of Science research team has developed an AI device with high information processing performance. This was achieved by recreating the so-called "edge-of-chaos" state occurring in the brain using ion–electron-coupled dynamics at the solid electrolyte/diamond interface. This technology may be used to develop energy-efficient edge AI devices with…
Researchers combined synthetic DNA with a semiconductor to create an ultra-low-power memory device capable of storing and processing information in the same place. The bio-hybrid technology could eventually help make AI systems and next-generation computers far more energy efficient.
A computing device that uses tiny magnetic swirls to process data has been trained to recognize handwritten numbers. Developed by RIKEN researchers, the device shows that miniature magnetic whirlpools could be useful for realizing low-energy computing systems inspired by the brain.