Neuromorphic engineering draws inspiration from biological neural systems, which operate robustly despite significant variability, noise, and heterogeneity ...

Liquid Neural Networks could help us to achieve the next level of efficiency with AI/ML Many of us can agree that over the past few years AI/ML progress has been, well, rapid. Now, we’re given yet ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

Sometimes we benefit from looking in detail at the terms that we use to talk about large language models and neural networks. Things are changing rapidly, and science is moving from one groundbreaking ...

An MIT spinoff co-founded by robotics luminary Daniela Rus aims to build general-purpose AI systems powered by a relatively new type of AI model called a liquid neural network. The spinoff, aptly ...