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

The experimental model won't compete with the biggest and best, but it could tell us why they behave in weird ways—and how ...

The degradation of transformer insulating oils through corrosion represents a critical challenge for the reliable operation of power transformers. Corrosion mechanisms are intricately linked to ...

The story of attention in AI is really the story of how machines learned to stop treating every bit of information as equally important. Early models tried to remember everything at once, which is ...