Current large-scale implementations of deep learning and data mining require thousands of processors, massive amounts of off-chip memory, and consume gigajoules of energy. New memory technologies, ...

Self-powered catalytic micromotors that swim through a fluid by harvesting energy from their environment have received increasing attention because of their potential applications in nanomachinery, ...

Accurate estimation of parameters for Distribution Network Feeders (DNFs) is crucial yet quite challenging, especially with limited synchronized measurements. This letter introduces a novel Hybrid ...