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What is optimization? In the mathematics for annealing machines, I will explain the necessary mathematics to use an annealing machine based on the answer to that question.

With the outbreak of COVID-19, we used an annealing machine to create shifts for our researchers under constraints that took into account the newly created risks of infection.

Reinsurance is critical against natural disaster risks that have increased in recent years. We have used an annealing machine to formulate a reinsurance portfolio utilizing the vast amount of data collected by insurance companies.

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.

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.

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 this column, I would like to introduce the know-how for applying mathematical optimization technology, including CMOS annealing, to issues that require human decision-making.

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.

In this first part, I will explain the element of actions, which is one of the two elements that form the "skeleton" of an issue, along with values.

In order to encourage more people to use an annealing machine, we have published an article explaining the process of solving optimization problems with annealing machines for beginners.

In this article, we explain how to organize information of the problem that you want to solve, which will be done in the requirements definition stage, using the 'school class timetable' as a motif.

This demo app is to solve the problem of estimating the original image from a noisy black and white image with an annealing machine.

This demo app is to solve combinatorial optimization problems with an annealing machine taking as an example a problem called vertex cover problem of graph.

With the Fitness diagnostic tool, you can confirm whether the optimization examples or problems you are familiar with are actually compatible with an annealing machine.

In this second part, I will explain the element of values, which is one of the two elements that form the "skeleton" of an issue, along with values.

This time, I would like to delve deeper into the four elements for those who have identified issues they want to optimize. I will explain the element of rules and assumptions, which is one of the two elements that form the "outline of the issue."

This time, I would like to delve deeper into the four elements for those who have identified issues they want to optimize. I will explain the element of references, which is one of the two elements that form the "outline of the issue."

One of the use cases for an annealing machine is "optimizing researcher shifts while considering COVID-19 infection control." Here, I will explain how to use a decision architecture design framework in practice.

This will provide an overview of technologies that substitute human decision-making, similar to annealing machines, and explain the characteristics and advantages of annealing machines among them.