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 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 ...

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 ...

Much like the creation of an image synthesis model, researchers build text diffusion models by training a neural network on partially obscured data, having the model predict the most likely ...

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 ...

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.