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 ...

A common objective for neural networks is to find a mathematical function, or curve, that best connects certain data points. The closer the network can get to that function, the better its predictions ...

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 ...

This change is used as an output signal, so such structures work like artificial neurons in a neural network," said Alexey Kavokin. The architecture proposed by St. Petersburg State University ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, they are researching CV-QNN (Continuous Variable Quantum Neural Networks) technology, with the ...

Liquid neural networks consist of “neurons” governed by equations that predict each individual neuron’s behavior over time, like most other modern model architectures. The “liquid” bit ...

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.