Researchers at the Rochester Institute of Technology will use photonic integrated circuit technology to improve the processing speed and energy consumption of brain-inspired computing technique through a $422,733 grant from the National Science Foundation. 
PIC: Hybrid Silicon Electronic Photonic Integrated Neuromorphic Networks is a multiyear project to advance neuromorphic computing using photonic circuits. Neuromorphic computing, sometimes referred to as brain-inspired computing, is a subfield of artificial intelligence where the physical neural network architecture and its complex processing mechanisms are inspired by the learning mechanisms in the human brain. This type of architecture is currently developed using electronic integrated circuits, and the research team will be applying similar methods using photonic devices.
