Abstract: The demand for high-speed matrix multiplication continues to grow due to recent developments in images processing, graphics processing, digital signal processing and communication via ...

Abstract: Graph convolutional networks (GCNs) are emerging neural network models designed to process graph-structured data. Due to massively parallel computations using irregular data structures by ...

Yes, that simple question is, in the modern Nvidia world that has come to dominate AI training and to a certain extent HPC simulation and modeling, heretical. But given that CPUs are in many cases ...

Ibogaine’s unconventional “matrix pharmacology” may underlie both its therapeutic promise and unpredictable cardiac risks. Unraveling this mechanism could help drug developers hoping to bring ibogaine ...