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In a new study, researchers from UCL and Imperial College London have advanced brain-inspired computing using chiral magnets, significantly reducing energy use in machine-learning tasks. This research marks progress towards more sustainable and adaptable computing technologies, as the physical properties of the material can be adapted to suit different machine-learning tasks. The next step is to identify materials and device architectures that are commercially viable and scalable.
