Liquid Neural Networks

Liquid Neural Networks (LNNs) are a new class of AI models inspired by the biological brains of small organisms like nematodes. Unlike traditional neural networks which have fixed parameters after training, LNNs can adapt their underlying equations in real-time as they process new information. This makes them highly efficient and robust, particularly in dynamic environments like autonomous driving or robotics. Developed by researchers at MIT and pioneered by companies like Liquid AI.