Physical reservoir computing (PRC) utilizing synaptic devices shows significant promise for edge AI. Researchers from the Tokyo University of Science have introduced a novel self-powered dye-sensitized solar cell-based device that mimics human synaptic behavior for efficient edge AI processing, inspired by the eye's afterimage phenomenon. The device has light intensity-controllable time constants, helping it achieve high performance during time-series data processing and motion recognition tasks. This work is a major step toward multiple time-scale PRC.

POSTECH and UNIST introduce the innovative “UniMat” platform utilizing 3D engineered nanofiber membrane

A new simulator gives nursing students hands-on practice with vital procedures like mechanical ventilation and tracheal suctioning in children.

A $340,000 National Science Foundation grant will support research led by Cal Poly physics Professor Thomas Gutierrez on neutrinos through the international CUPID (CUORE Upgrade with Particle Identification) program. Gutierrez and his Cal Poly student team are exploring unproven theories related to nuclear decay, also known as radioactive decay, the process by which an unstable atomic nucleus loses energy through radiation. Their work strives to help better explain why the universe is full of matter, and to address other mysteries that have befuddled scientists for generations.