Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

Abstract: Broad learning system (BLS) is an effective neural network requiring no deep architecture, however it is somehow fragile to noisy data. The previous robust broad models directly map features ...

Abstract: Radio map estimation (RME), also known as spectrum cartography (SC), aims to estimate instantaneous signal power distribution over a certain space-frequency region. Recent RME approaches ...

Where will the power come from? As AI workloads explode and U.S. data center power demand races toward 134 GW by 2030, the industry faces a fundamental constraint: the grid can’t keep up. This deep ...

Five hundred years ago, a Bible accidentally printed with a backwards map of the Holy Land sparked a revolution in how people imagined geography, borders, and even nationhood. Despite the blunder, the ...