Abstract: Traditional channel prediction methods are mostly based on autoregressive models, leading to a significant accumulation of errors due to sequential prediction methods and consequently making ...

Artificial intelligence is colliding with a hard physical limit: the energy and heat of conventional chips. As models scale ...

Abstract: Collecting a large amount of measured configuration data for robots entails high costs and time, which restricts the widespread use of neural networks for ...