Liquid Neural Network: What’s A Worm Got To Do With It?

The researchers at the Massachusetts Institute of Technology (MIT) have developed 'liquid network', a neural network that can learn on the job. Liquid networks can continuously adapt to new data inputs in real-time to anticipate future behaviour enabling algorithms to make decisions based on data streams that change over time. Below, we dig into how the researchers created this new model and its benefits and potential applications.  Biomimicry Neural networks are machine learning algorithms that use a set of training examples to recognise patterns. Liquid networks are a type of neural networks that can change its parameters in real-time, essentially improving its ability to analyse time-series data. The researchers drew inspiration from C Elegans nematode, a small worm