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Bridging the gap between neuromorphic ionic computing and more efficient AI

Bridging the gap between neuromorphic ionic computing and more efficient AI
Neuromorphic ionic devices have the potential to mimic the energy efficient computing found in the human brain. Credit: J. Cataldo/LLNL

The human brain is the ultimate supercomputer. It uses a highly branched and interconnected network of neurons and synapses to achieve massive computational power with extreme efficiency. In the age of AI, the brain, a paradigm of efficient neuromorphic computing, is providing inspiration for scientists.

Ionic computing—which uses ions to compute instead of the electrons in typical devices—could provide a path forward for neuromorphic technology that rivals the brain’s efficiency. But the field is only a few years old, and many challenges remain before it moves beyond proof of principle and toward real-world deployment.

To bring neuromorphic ...

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