Uncertainty about the inner workings of machine learning (ML) models holds back application ML-enabled systems in real estate markets. How do ML arrive at their estimates? Given lack model transparency, how can practitioners guarantee that not run afoul law? This article first advocates a dedicated software testing framework for applied systems, as commonly found computer science. Second, it de...

Abstract Machine Reading Comprehension (MRC) is a challenging task and hot topic in Natural Language Processing. The goal of this field to develop systems for answering the questions regarding given context. In paper, we present comprehensive survey on diverse aspects MRC systems, including their approaches, structures, input/outputs, research novelties. We illustrate recent trends based review...

We propose an Ising machine made of microelectromechanical systems (MEMS), where the annealing process is automatically executed by a dissipation mechanism. The core structure series buckled plates. Two stable positions each plate (left and right) represent its binary state acting as bit so that works mechanical memory. electrostatic interaction between adjacent plates introduced applying volta...