SOURCE-LINKED INTELLIGENCE

Solid-State Ionics Synaptic Transistors for Neuromorphic Computing

CORDIS · observation · Publication date unknown

Solid-State Ionics Synaptic Transistors for Neuromorphic Computing Neuromorphic computing will revolutionize artificial intelligence for applications such as autonomous driving, smart diagnosis or natural-language understanding by emulating the operation of efficient biological neural networks. The main challenge in this field is the substitution of conventional transistors for synaptic transistors able to learn in ways similar to a neural synapse, i.e. the development of multistate non-volatile transistors. However, currently existing synaptic transistors have been developed using electrolytes that are by nature unstable and difficult to integrate such as ionic liquids or proton conducting polymers. TRANSIONICS will deliver highly stable (non-volatile), silicon-compatible and scalable solid state synaptic transistors by exploiting the first-ever room temperature oxide-ionic electrolyte developed in the ERC CoG grant (ULTRASOFC) held by the PI. TRANSIONICS transistors are able to modulate its

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recordType

award

status

CLOSED

region

EU

value

150000

unit

EUR