Articles

A combinatorial optimization problem is trying to find out the value (combination) of variables that optimizes an index (value) from among many options under various constraints.

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.

Not every optimization problem can be dramatically improved with an annealing machine.

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.