Brain inspired machines are better at math than expected

Sandia National Laboratories scientists developed a breakthrough algorithm enabling brain-inspired neuromorphic computers to solve complex partial differential equations that traditionally require massive supercomputers. These neuromorphic systems can handle demanding mathematical problems underlying weather forecasting, materials analysis, and physics simulations while using significantly less energy than conventional supercomputers, potentially revolutionizing high-stakes national security applications.