Meta's search platform uses machine intelligence to analyze the number and quality of citations in medical journals and research papers, and then sorts them into the largest knowledge graph of its kind. Search results are then ranked in order of importance, similar to how Google News search gives a higher rank to highly linked sources, thus making it easier to find the most relevant or authoritative research among the thousands of scientific papers that are published every day. While that will undoubtedly help students and scientists save tons of time sifting through articles on PubMed, Meta can also help organizations decide where to direct their research budgets by identifying trends in certain areas of study or finding authors who have shown promising work in the past.
As TechCrunch notes, the Chan Zuckerberg Initiative didn't disclose how much it paid for the Toronto-based startup, but once the acquisition is complete, Meta will add a few more enhancements to the product before rolling it out free to all in the next few months. "Going forward, our intent is not to profit from Meta's data and capabilities," Meta CEO Sam Molyneux said in a statement, "instead we aim to ensure they get to those who need them most, across sectors and as quickly as possible, for the benefit of the world."