A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time without ...

If your neural network models some physical process, the output function will ideally represent an equation describing the physics — the equivalent of a physical law. For MLPs, there’s a mathematical ...

Choosing what stimulus to focus on, a.k.a. attention, is also the main mechanism behind another neural network architecture, the transformer, which has become the heart of large language models ...

The architecture proposed by St. Petersburg State University physicists belongs to the class of Binary Neural Networks (BNN) working with binary input and output signals of neurons. Unlike traditional ...

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 ...

Per Bloomberg, the round values Liquid AI at over $2 billion. Liquid AI aims to build general-purpose AI systems powered by a relatively new type of AI model called a liquid neural network. Liquid ...