Nanowire network mimics brain, learns handwriting with 93.4% accuracy
From UCLA 29/11/23 FINDINGS An experimental computing system, modeled after the biological brain, achieved a 93.4% accuracy in identifying handwritten numbers. This success is attributed to a novel training algorithm providing real-time feedback during the learning process. This algorithm surpassed the accuracy of traditional machine-learning methods, which train after processing batches of data, achieving only […]