New ‘Liquid-AI’ Learns Continuously from Its Experience

Posted by Peter Rudin on 19. February 2021 in News

While most machine learning algorithms cannot hone their skills beyond an initial training period, a  new approach, called a liquid neural network, has a kind of built-in “neuroplasticity.”

The algorithm’s architecture was inspired by the mere 302 neurons making up the nervous system of C. elegans, a tiny nematode (or worm).

At a time when big players like OpenAI and Google are regularly making headlines with gargantuan machine learning algorithms, it is a fascinating example of an alternative approach headed in the opposite direction.

In contrast, in a liquid neural network, the parameters are allowed to continue changing over time and with experience. The AI learns on the job.


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