This research develops brain-inspired computer chips using memristors, devices that can store and process information simultaneously like biological synapses. By enabling in-memory computing, the technology reduces energy consumption while supporting applications such as autonomous robots and image processing. The work advances efficient hardware for future artificial intelligence systems.

Industrial combustion residue can strengthen concrete but varies in impurity content. This research uses X-ray imaging and computer vision to identify and quantify impurities in residue particles. The results help cement manufacturers optimize material use, improving quality, reducing costs, and supporting sustainable recycling of industrial waste.