Binary Neural Networks (BNNs) offer an effective way to slash the cost of computation and memory accesses in inference. Recently, a plurality of ideas has been proposed, some of which are ...

Synthesis, crystal structures, and chemical bonding are reported for four binary phosphides with different degrees of phosphorus oligomerization, ranging from isolated P atoms to infinite phosphorus ...

Variables were entered into multivariate stepwise binary logistic regression in order of univariate significance, with IPO the dependent variable. Variables with p<0.05 in multivariate analysis, or ...