Performing data-intensive tasks in the von Neumann architecture is
chall...
Graph convolutional network (GCN), an emerging algorithm for graph compu...
Computing-in-memory (CiM) is a promising technique to achieve high energ...
Word embedding has become essential for natural language processing as i...
Distributional representations of words, also known as word vectors, hav...
Based on phasor measurement units (PMUs), a synchronphasor system is wid...