The initial research papers date back to 2018, but for most, the notion of liquid networks (or liquid neural networks) is a new one. It was “Liquid Time-constant Networks,” published at the tail end ...

What Is A Recurrent Neural Network (RNN)? Recurrent Neural Networks (RNNs) are artificial neural networks designed to handle sequential data like text, speech or financial records. Unlike traditional ...

Readers of this blog will recall that, many moons ago, I summarized a couple of papers I wrote for the New South Wales, Australia Department of Education on the implications of advances in artificial ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Time-optimal motion planning represents a critical area in robotics research, focusing on the design of trajectories that minimise execution time while respecting kinematic and dynamic constraints.

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.