Central Florida University researchers are helping to close the gap separating human and machine brains.
In a study printed as the cover article appearing in the journal Science Advances, a UCF analysis team confirmed that by combining two promising nanomaterials into a new superstructure, they might develop a nanoscale device that mimics the neural routes of brain cells used for human vision.
Thomas led the research in partnership with Tania Roy, an assistant professor at UCF’s NanoScience Technology Center, and others at UCF’s NanoScience Technology Facility and the Division of Materials Science and Engineering.
Roy stated a possible use for the technology is for drone-assisted rescues.
The trick to the innovation was rising nanoscale, light-sensitive perovskite quantum dots on the two-dimensional, atomic thick nanomaterial graphene.
This combination permits the photoactive particles to seize light, convert it to electric charges, after which have the costs immediately transferred to the graphene, all in one step. The whole procedure takes place on an ultra-thin film, about one-ten thousandths of the thickness of a human hair.
Basudev Pradhan, who was a Bhaskara Advanced Solar Energy student in Thomas’ lab and is at present an assistant professor in the Division of Energy Engineering at the Central University of Jharkhand in India,
Neuromorphic computing is a long-standing objective of scientists in which computers can concurrently process and store data, like the human brain does, for instance, to allow vision.