A million laptops wired together is roughly equivalent to the computing power of an exascale supercomputer. Exascale supercomputing power will enable much better predictions through machine learning. This is useful in many domains, such as the search for new medicines. Diseases can be cured by finding molecules that bind to disease proteins. Experimenting with molecules to see if they heal diseases takes time and is expensive, so we cannot run all the tests we want to. If we can predict the binding of all drug molecules to a disease protein based on what we know from a few experiments then we can compensate for missing tests. This vastly improves our chances of finding a molecule that works.
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