Hopfield Neural Networks (HNNs) are a type of recurrent ... states without the need for additional modifications to the HNN architecture[1]. Another innovative approach involves integrating ...

On Tuesday, seven AI pioneers took home the 2025 Queen Elizabeth Prize for Engineering, a top award for groundbreaking ...

Princeton's John Hopfield, the 2024 Nobel Laureate in Physics, and alumnus Fei-Fei Li of the Class of 1999 were two of seven ...

Learn More 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 ...

Many of today's technologies, from digital assistants like Siri and ChatGPT to medical imaging and self-driving cars, are powered by machine learning. However, the neural networks—computer ...

Red Hat, the IBM-owned open-source software giant, has completed its acquisition of Neural Magic, a pioneering artificial intelligence (AI) optimization startup. Initially announced in November ...

It’s genuinely clever, and it uses AI in real time to work it all out – there are basically loads of neural networks processing the game data live as you play, learning what’s in the scene ...

The chip, which mimics the human brain's architecture, is meant to enable ... The underlying principle is the spiking neural network (SNN) — where a neural network is a collection of machine ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of ...