EE World Online

How is a transformer used in neural networks?

Transformers are a neural network (NN) architecture, or model, that excels at processing sequential data by weighing the ...
Nature

A Chinese AI model taught itself basic physics — what discoveries could it make?

A tool called AI-Newton can derive scientific laws from raw data, but is some way from developing human-like reasoning.
IEEE

Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction

Abstract: Predicting remaining useful life (RUL) plays a crucial role in the prognostics and health management of industrial systems that involve a variety of interrelated sensors. Given a constant ...
IEEE

Dynamic Graph Neural Evolution: An Evolutionary Framework Integrating Graph Neural Networks with Adaptive Filtering

Abstract: This paper proposes an innovative optimization framework, Dynamic Graph Neural Evolution (DGNE), integrating Graph Neural Networks (GNNs) with Evolutionary Algorithms (EAs). Building on the ...