The startup is making solid-state transformers capable of intelligently aggregating power from a number of different sources ...
Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...
MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat instead of electricity. These tiny structures could someday enable more ...
Abstract: Graph Signal (GS) representations of multi-variable brain recordings offer a synergistic integration between regional brain activity and global communications inside the human brain. The ...