Machine learning is zooming ahead, bringing new models each year. One neural network architecture is particularly useful for natural language processing tasks and allows computers to understand ...

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 ...

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 ...

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 ...

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 ...