Los Alamos National Laboratory's team has unveiled a neuromorphic deep learning algorithm that slashes AI power consumption to just 2.5% of traditional methods. By implementing backpropagation directly on-chip, they achieved over 96% accuracy in classifying handwritten digits and fashion items. Awarded an R&D 100 in 2022, this innovation promises greener, faster AI—helping your gadgets stay smart without burning out the grid. Kudos to the researchers for this electrifying achievement!