‘Brain-like’ AI uses Chinese chips to run 100 times faster on ultra-long tasks

SpikingBrain 1.0 mimics how the human brain fires only the neurons it needs, saving power and speeding up the response time, researchers say

Developed by researchers at the Chinese Academy of Sciences’ Institute of Automation in Beijing, SpikingBrain 1.0 mimics how the human brain fires only the neurons it needs.

Thanks to this design, the model can learn from just a sliver of training data – less than 2 per cent of the amount conventional systems need – while staying fast and efficient even when processing long text.

In some cases, it ran up to 100 times faster than traditional models, according to a non-peer reviewed technical paper posted on arXiv, an open-access research repository.

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