Brain-inspired chips can slash AI energy use by as much as 100-fold, but the road to mainstream deployment is far from ...

In this paper, a signal-guided masked autoencoder (S-MAE) based semi-supervised learning framework is proposed for high-precision positioning with limited labeled channel impulse response (CIR) ...

Automatically detecting anomalies in videos is a challenging problem due to non-deterministic definitions of abnormal events and lack of sufficient training data. To address these issues, we propose ...