Schematic of the ionic liquid-gated SmNiO3 synaptic transistor (Photo: Harvard Univ.)
Diagram of the key features of neurons and synapses in the brain (Image: Mariana Ruiz Villarreal)
Comparison of the structures of a field effect transistor (left) and Harvard's synaptic transistor (right) (Image: B. Dodson)
In a development that may enable a wholly new approach to artificial intelligence, researchers at Harvard University's School of Engineering and Applied Sciences have invented a type of transistor that can learn in ways similar to a neural synapse. Called a synaptic transistor, the new device self-optimizes its properties for the functions it has carried out in the past.
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