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This column is filled with hints for advancing issue clarification and requirement definition, so if you're unsure where to start or how to articulate your thoughts as you progress in your study of mathematical optimization, please take a moment to read it.

Did you know that annealing machines are already being used in business, not just for verification, but as a means to solve real-world problems? This article will cover examples of applications that have been published so far.

In general, computers often employ procedures and algorithms that lead to the only correct solution (exact solution), but let's learn about the different heuristic features and the significance of annealing machines in this perspective.

This column introduces recommended books outside of Annealing Cloud Web that you should deepen your knowledge in order to actually use an annealing machine.

When applying an annealing machine solution of an optimization problem to a real-world problem, the ultimate goal is to improve the user's work through the optimization process.

Both machine learning, which is often used in AI, and annealing machines, which perform combinatorial optimization, are computers that perform difficult processing on behalf of humans.

What is a typical combinatorial optimization problem? Many people may answer with the 'traveling salesman problem'.