The rapid rise in AI applications has placed increasingly heavy demands on our energy infrastructure, and all the more reason to find energy-saving solutions for AI hardware. One promising idea is the use of spin waves to process information. A spin wave is the pattern of collective spin deviations that propagates through a magnetic material, carrying energy and information. A research team from the Universities of Münster and Heidelberg has created the largest spin waveguide network to date, enabling the long-range propagation of spin waves and precise control over their properties, while using yttrium iron garnet (YIG) for reduced attenuation. The researchers successfully inscribed 198 nodes into a thin film of magnetic material, enhancing the potential for complex circuits that could improve energy efficiency in electronic applications for use by AI.
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