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<p>In the new study, published in the journal <em>Nature Materials</em>, an international team of researchers used chiral (twisted) magnets as their computational medium and found that, by applying an external magnetic field and changing temperature, the physical properties of these materials could be adapted to suit different machine-learning tasks.</p>
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