Ising machines are hardware solvers that aim to find the absolute or approximate ground
states of the Ising model. The Ising model is of fundamental computational interest because …

Abstract From Deep Blue to AlphaGo, artificial intelligence and machine learning are
booming, and neural networks have become the hot research direction. However, due to the …

По нейронным сетям накоплен огромный материал, способный привести в
растерянность неискушенного читателя, пытающегося понять, что такое нейросети. С …

The cultivation of most crops depends upon the regional weather conditions. So, the
analysis of the agro-climatic conditions of a zone contributes significantly to deciding the …

Combinatorial optimization is a well-established area in operations research and computer
science. Until recently, its methods have focused on solving problem instances in isolation …

When quantizing neural networks, assigning each floating-point weight to its nearest fixed-
point value is the predominant approach. We find that, perhaps surprisingly, this is not the …

To tackle important combinatorial optimization problems, a variety of annealing-inspired
computing accelerators, based on several different technology platforms, have been …

Настоящий учебник охватывает разделы теории, которые позволяют найти
подходящее управление в условиях неполного, нечеткого и неточного знания …

The recently presented idea to learn heuristics for combinatorial optimization problems is
promising as it can save costly development. However, to push this idea towards practical …

Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …