In Nature Communications, a research team affiliated with UNIST present a fully biodegradable, robust, and energy-efficient ...
Neuromorphic computing is an information processing model that simulates the efficiency of the human brain with multifunctionality and flexibility. Currently, artificial synaptic devices represented ...
“In this paper we present an adaptive synaptic array that can be used to improve the energy-efficiency of training machine learning (ML) systems. The synaptic array comprises of an ensemble of analog ...
As animals experience new things, the connections between neurons, called synapses, strengthen or weaken in response to events and the activity they cause in the brain. Neuroscientists believe that ...