A team of US researchers has developed an “artificial synapse” that does not process information like a digital computer but rather mimics the way the human brain completes tasks.
The discovery can lead to energy-efficient AI devices that would revolutionize our lives, said the team from the University of Pittsburgh.
An emerging field called “neuromorphic computing” focuses on the design of computational hardware inspired by the human brain. Dr. Xiong and his team built graphene-based “artificial synapses” in a 2D honeycomb configuration of carbon atoms.
Graphene’s conductive properties allowed the researchers to finely tune its electrical conductance.
The graphene synapse demonstrated excellent energy efficiency just like biological synapses, said the study published in the journal Advanced Materials.