Brain-on-a-chip would need little training

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IMAGE: Advances in artificial intelligence technology is leading to the development of neural networks that mimic the biology of the brain.
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Credit: © 2021 KAUST
A biomimicking "spiking" neural network on a microchip has enabled KAUST researchers to lay the foundation for developing more efficient hardware-based artificial intelligence computing systems.
Artificial intelligence technology is developing rapidly, with an explosion of new applications across advanced automation, data mining and interpretation, healthcare and marketing, to name a few. Such systems are based on a mathematical artificial neural network (ANN) composed of layers of decision-making nodes. Labeled data is first fed into the system to "train" the model to respond a certain way, then the decision-making rules are locked in and the model is put into service on standard computing hardware.

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