Abstract: Graph Neural Networks (GNNs) have been gaining more attention due to their excellent performance in modeling various graph-structured data. However, most of the current GNNs only consider ...

Abstract: Irregular event streams are common in domains such as finance, healthcare, and e-commerce, where the underlying data-generating processes are often highly complex and vary widely in scale.

Point cloud semantic segmentation technology for road scenes plays an important role in the field of autonomous driving. However, accurate semantic segmentation of large-scale and non-uniformly dense ...

HOUSTON--(BUSINESS WIRE)--Continuous, formerly SMA Technologies, today announced the acquisition of Sycorr, a provider of identity and access management software purpose-built for banks and credit ...

Pointing to Korea's rise in autos, the late Berkshire Hathaway vice chair argued that "only a total idiot" would be surprised to lose to competitors who outwork and outlearn you. He cited the example ...

Researchers demonstrate a novel method for transforming continuous time crystals into discrete ones using subharmonic injection locking, offering new insights into symmetry breaking and control in ...

The HBR Playbook on overcoming change fatigue and positioning your people for agility. by Ania W. Masinter The amount and pace of organizational change today is staggering. Gartner research found that ...

Convolution is used in a variety of signal-processing applications, including time-domain-waveform filtering. In a recent series on the inverse fast Fourier transform (FFT), we concluded with a ...