A look at “liquid” neural nets, which change their underlying algorithms based on observed inputs, making them more flexible than standard ML neural networks
Wait until Google's ML systems for Search start using liquid neural nets. Or are they already? :) -> Liquid neural nets, based on a worm's nervous system, can transform their underlying algorithms on the fly, giving them unprecedented speed & adaptability https://www.quantamagazi…
Researchers have built an artificial neural network made out of equations that mirror the cognition of real-life roundworms. https://www.quantamagazine.org/ ...
MIT scientists created a new class of speedy “liquid” neural networks that can change underlying algorithms on the fly, sometimes outperforming convolutional neural nets: https://www.quantamagazine.org/ ... Image v/@QuantaMagazine https://twitter.com/...
The roundworm 𝘊. 𝘦𝘭𝘦𝘨 𝘢𝘯𝘴 is one of the only creatures with a fully mapped-out nervous system. This profile has gifted computer scientists with a new source of inspiration for artificial neural networks. https://www.quantamagazine.org/ ...
Artificial intelligence researchers have built a new class of “liquid” neural networks that process inputs in a nonlinear way. In certain scenarios, these networks handily outperform conventional neural networks. Steve Nadis reports: https://www.quantamagazine.org/ ...
Thank you @QuantaMagazine & Steve Nadis for featuring such a great article about our work on “liquid neural networks” https://www.quantamagazine.org/ ... It describes the journey @mlech26l, Daniela Rus & I took @MIT @MIT_CSAIL to develop liquid networks and what's next