Physical reservoir computing, a brain-inspired computing approach, has been limited by its lack of reconfigurability. An international team of researchers has found that by using chiral magnets as the computational medium, the physical properties of these materials can be adapted to suit different machine-learning tasks by applying an external magnetic field and changing temperature. By Coshorts
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