Massively parallel research runs thousands of small experiments simultaneously, leveraging crowd or compute power to test many hypotheses at once. It accelerates discovery in fields like drug development and genomics, often using distributed systems or citizen science. Researchers, data scientists, and pharmaceutical companies benefit from faster, more robust findings and reduced costs.
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